CN110069712A - Source of houses recommended method and relevant device based on source of houses evaluation semantic analysis - Google Patents
Source of houses recommended method and relevant device based on source of houses evaluation semantic analysis Download PDFInfo
- Publication number
- CN110069712A CN110069712A CN201910330134.2A CN201910330134A CN110069712A CN 110069712 A CN110069712 A CN 110069712A CN 201910330134 A CN201910330134 A CN 201910330134A CN 110069712 A CN110069712 A CN 110069712A
- Authority
- CN
- China
- Prior art keywords
- source
- houses
- evaluation
- semantic analysis
- lessee
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 230
- 238000004458 analytical method Methods 0.000 title claims abstract description 150
- 238000000034 method Methods 0.000 title claims abstract description 56
- 238000001514 detection method Methods 0.000 claims abstract description 14
- 238000010586 diagram Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 5
- 230000006870 function Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 4
- 239000000284 extract Substances 0.000 description 2
- 230000008676 import Effects 0.000 description 2
- 230000001960 triggered effect Effects 0.000 description 2
- PCHJSUWPFVWCPO-UHFFFAOYSA-N gold Chemical compound [Au] PCHJSUWPFVWCPO-UHFFFAOYSA-N 0.000 description 1
- 239000010931 gold Substances 0.000 description 1
- 229910052737 gold Inorganic materials 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/20—Natural language analysis
- G06F40/279—Recognition of textual entities
- G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F40/00—Handling natural language data
- G06F40/30—Semantic analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Computational Linguistics (AREA)
- Tourism & Hospitality (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Economics (AREA)
- Primary Health Care (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Marketing (AREA)
- Human Resources & Organizations (AREA)
- Data Mining & Analysis (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention provides a kind of source of houses recommended method based on source of houses evaluation semantic analysis, comprising: and whether detection lessee and landlord are completed the business of renting a house, if completing, terminal where evaluation interface is pushed to lessee；Lessee is obtained to the first evaluation result of each normal term at evaluation interface, and calculates the weighted average point of each normal term based on first evaluation result；The source of houses comment for obtaining comment column addition of the lessee at the evaluation interface, comments on the source of houses and carries out semantic analysis, to obtain semantic analysis result；Intelligent recommendation is carried out to information of real estate based on the weighted average point and the semantic analysis result.The present invention also provides a kind of source of houses recommendation apparatus, equipment and storage mediums based on source of houses evaluation semantic analysis.Realizing the present invention is based on semanteme parsing through complete appraisement system is lessee's intelligent recommendation information of real estate, so that improving the source of houses recommends efficiency, further increases user experience.
Description
Technical field
The present invention relates to house lease field more particularly to a kind of source of houses recommended methods based on source of houses evaluation semantic analysis
And relevant device.
Background technique
Currently, user can only understand the source of houses according to information of real estate, then go to check source of houses situation to scene, when
During lease, if it exists facility quality (whether every configuration that landlord promises to undertake perfect), service quality (landlord receive introduce and
Whether the services such as subsequent building maintenance household electrical appliances good), rent cost performance (system statistics simultaneously provide with the identical house type room in location
Source rent evaluates current source of houses cost performance according to practical as reference, user), authenticity the problems such as when, then can not to landlord into
Row evaluation, also, next bit lessee can not also know the source of houses or the truth of landlord, so, lack in the prior art
Complete appraisement system is lessee's intelligent recommendation information of real estate, rents a house so as to cause lessee and experiences the problem of difference.
Summary of the invention
The main purpose of the present invention is to provide a kind of source of houses recommended methods and correlation based on source of houses evaluation semantic analysis
Equipment, it is intended to solve to be in the prior art lessee's intelligent recommendation information of real estate because lacking complete appraisement system, so as to cause rent
Visitor, which rents a house, experiences the problem of difference.
To achieve the above object, the present invention provides a kind of source of houses recommended method based on source of houses evaluation semantic analysis, described
Based on the source of houses evaluation semantic analysis source of houses recommended method the following steps are included:
Whether detection lessee and landlord are completed the business of renting a house, if completing, evaluation interface is pushed to where lessee eventually
End；
Lessee is obtained to calculate to the first evaluation result of each normal term at evaluation interface, and based on first evaluation result
The weighted average of each normal term point；
The source of houses comment for obtaining comment column addition of the lessee at the evaluation interface, comments on the source of houses and carries out semantic point
Analysis, to obtain semantic analysis result；
Intelligent recommendation is carried out to information of real estate based on the weighted average point and the semantic analysis result.
Optionally, described comment on the source of houses carries out semantic analysis, and to obtain semantic analysis result the step of includes:
The source of houses is commented on and carries out semantic analysis, to obtain each participle, and each participle is calculated and is commented in the source of houses
The word frequency occurred in；
The high frequency participle that word frequency is greater than preset threshold is counted, the high frequency is segmented and is ranked up according to preset order, and
Accumulate word frequency sequence table；
The word frequency sequence table is matched with preset normal term dictionary, obtains the target participle of successful match, and
The target participle is extracted as semantic analysis result.
Optionally, described that intelligence is carried out to the information of real estate based on the weighted average point and the semantic analysis result
The step of recommendation includes:
The search instruction for receiving user obtains corresponding information of real estate based on described search instruction；
The information of real estate is ranked up according to preset order based on the weighted average point, to obtain ranking results；
Intelligent recommendation is carried out to the information of real estate based on the ranking results and the semantic analysis result.
Optionally, described that intelligent push away is carried out to the information of real estate based on the ranking results and the semantic analysis result
The step of recommending include:
The second evaluation result that the target segments corresponding normal term is obtained, determines commenting in second evaluation result
Divide and whether is greater than the first preset threshold；
If more than, then it adds first identifier to the target and segments, the first perpetual object of generation, and closed based on described first
It infuses object and the ranking results and intelligent recommendation is carried out to the information of real estate.
Optionally, described that intelligent push away is carried out to the information of real estate based on the ranking results and the semantic analysis result
The step of recommending further include:
The second evaluation result that the target segments corresponding normal term is obtained, determines commenting in second evaluation result
Whether divide less than the second preset threshold；
If being less than, add second identifier to the target and segment, generates the second perpetual object, and close based on described second
It infuses object and the ranking results and intelligent recommendation is carried out to the information of real estate.
Optionally, the source of houses comment for obtaining lessee and adding on the comment column at the evaluation interface, comments the source of houses
By carrying out semantic analysis, the step of to obtain semantic analysis result before, the source of houses based on source of houses evaluation semantic analysis pushes away
Recommend method further include:
Multiple lessees are obtained to the third evaluation result of each normal term at evaluation interface, are calculated in the third evaluation result
The average mark of scoring；
The target criteria item that average mark is less than third predetermined threshold value is obtained, and prompt letter is generated based on the target criteria item
Breath, terminal where the prompt information is sent to landlord.
Optionally, the source of houses recommended method based on source of houses evaluation semantic analysis further include:
If detecting, landlord's evaluation is completed in lessee, obtains landlord to the evaluation state of lessee, and determine institute's commentary
Whether valence state is that state is completed；
If so, permission is checked in the evaluation of open landlord and lessee, so that landlord and lessee mutually check evaluation.
In addition, to achieve the above object, the present invention also provides a kind of sources of houses based on source of houses evaluation semantic analysis to recommend dress
It sets, the source of houses recommendation apparatus based on source of houses evaluation semantic analysis includes:
Detection template is obtained, for detecting whether lessee and landlord are completed the business of renting a house, if completing, evaluation interface is pushed away
It send to terminal where lessee；
First evaluation module for obtaining lessee to the first evaluation result of each normal term at evaluation interface, and is based on institute
State the weighted average point that the first evaluation result calculates each normal term；
Second evaluation module, for obtaining the source of houses comment of comment column addition of the lessee at the evaluation interface, to described
Source of houses comment carries out semantic analysis, to obtain semantic analysis result；
Intelligent recommendation module, for carrying out intelligence to information of real estate based on the weighted average point and the semantic analysis result
It can recommend.
In addition, to achieve the above object, the present invention also provides a kind of source of houses recommendations based on source of houses evaluation semantic analysis to set
Standby, the source of houses recommendation apparatus based on source of houses evaluation semantic analysis includes processor, memory and is stored in the storage
On device and the source of houses recommended program based on source of houses evaluation semantic analysis that can be executed by the processor, wherein described be based on the source of houses
When the source of houses recommended program of evaluation semantic analysis is executed by the processor, realizes and semantic analysis is evaluated based on the source of houses as above-mentioned
The source of houses recommended method the step of.
In addition, to achieve the above object, the present invention also provides a kind of storage medium, being stored with and being based on the storage medium
The source of houses evaluates the source of houses recommended program of semantic analysis, wherein the source of houses recommended program based on source of houses evaluation semantic analysis is located
When managing device execution, realize such as the step of the above-mentioned source of houses recommended method based on source of houses evaluation semantic analysis.
The present invention provide it is a kind of based on the source of houses evaluation semantic analysis source of houses recommended method and relevant device, the present invention pass through
Whether detection lessee and landlord are completed the business of renting a house, if completing, then terminal where evaluation interface is pushed to lessee obtains
Lessee is taken to calculate each standard to the first evaluation result of each normal term at evaluation interface, and based on first evaluation result
The weighted average point of item then obtains the source of houses comment that lessee adds on the comment column at the evaluation interface, comments the source of houses
By semantic analysis is carried out, to obtain semantic analysis result, finally based on the weighted average point and the semantic analysis result pair
Information of real estate carries out intelligent recommendation；Realizing through complete appraisement system is lessee's intelligent recommendation information of real estate, to improve
The source of houses recommends efficiency, further increases user experience.
Detailed description of the invention
Fig. 1 is the hardware configuration for the source of houses recommendation apparatus that semantic analysis is evaluated based on the source of houses that various embodiments of the present invention are related to
Schematic diagram；
Fig. 2 is the flow diagram that the source of houses recommended method first embodiment of semantic analysis is evaluated the present invention is based on the source of houses；
Fig. 3 is the flow diagram that the source of houses recommended method 3rd embodiment of semantic analysis is evaluated the present invention is based on the source of houses；
Fig. 4 is the flow diagram that the source of houses recommended method fourth embodiment of semantic analysis is evaluated the present invention is based on the source of houses；
Fig. 5 is the functional module signal for the source of houses recommendation apparatus first embodiment that semantic analysis is evaluated the present invention is based on the source of houses
Figure.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The present embodiments relate to based on the source of houses evaluation semantic analysis source of houses recommended method be mainly used in based on room
The source of houses recommendation apparatus of semantic analysis is evaluated in source, and it is (a should to can be PC based on the source of houses recommendation apparatus of source of houses evaluation semantic analysis
People computer personal computer), portable computer, mobile terminal etc. there is the equipment of display and processing function.
Referring to Fig.1, Fig. 1 is that the source of houses recommendation for evaluating semantic analysis based on the source of houses involved in the embodiment of the present invention is set
Standby hardware structural diagram.In the embodiment of the present invention, the source of houses recommendation apparatus based on source of houses evaluation semantic analysis may include
Processor 1001 (such as central processing unit Central Processing Unit, CPU), communication bus 1002, user interface
1003, network interface 1004, memory 1005.Wherein, communication bus 1002 is for realizing the connection communication between these components；
User interface 1003 may include display screen (Display), input unit such as keyboard (Keyboard)；Network interface 1004 can
Choosing may include standard wireline interface and wireless interface (such as WI-FI interface)；Memory 1005 can be high-speed RAM storage
Device, is also possible to stable memory (non-volatile memory), such as magnetic disk storage, and memory 1005 is optional
It can also be the storage device independently of aforementioned processor 1001.It will be understood by those skilled in the art that hardware shown in Fig. 1
Structure does not constitute a limitation of the invention simultaneously, may include components more more or fewer than diagram, or combine certain components, or
The different component layout of person.
With continued reference to Fig. 1, the memory 1005 in Fig. 1 as a kind of storage medium may include that operating system, network are logical
Believe module and the source of houses recommended program based on source of houses evaluation semantic analysis.In Fig. 1, network communication module is mainly used for connecting
Server carries out data communication with server；And processor 1001 can call what is stored in memory 1005 to comment based on the source of houses
The source of houses recommended program of valence semantic analysis, and execute the source of houses provided in an embodiment of the present invention based on source of houses evaluation semantic analysis and push away
Recommend method.
The embodiment of the invention provides a kind of source of houses recommended methods based on source of houses evaluation semantic analysis.
It is the process that the source of houses recommended method first embodiment of semantic analysis is evaluated the present invention is based on the source of houses referring to Fig. 2, Fig. 2
Schematic diagram.
It in the present embodiment, should be source of houses recommendation based on the executing subject of the source of houses recommended method of source of houses evaluation semantic analysis
System, source of houses recommender system can monitoring data import it is whether correct, data import it is incorrect when remind relevant treatment personnel
Search reason, wherein the source of houses recommender system includes the source of houses recommendation apparatus based on source of houses evaluation semantic analysis, should be based on the source of houses
The source of houses recommendation apparatus of evaluation semantic analysis can be the terminal devices such as mobile phone, PC, palm PC and tablet computer, be chosen as figure
Equipment shown in 1.This based on the source of houses evaluation semantic analysis source of houses recommended method the following steps are included:
Whether step S10, detection lessee and landlord are completed the business of renting a house, if completing, evaluation interface is pushed to rent
Terminal where objective；
In the present embodiment, landlord and lessee complete business of once renting a house, i.e. landlord and lessee signs a contract to lessee and close
With expiring, alternatively, by reasons ends intermediate contract such as landlord or lessee etc..Whether detection lessee and landlord are completed industry of renting a house
Business includes whether the detection contract date expires, detects landlord and whether lessee both sides all cancel a contract, for example, if lessee and landlord
The electronic contract of signing obtains the information of renting a house of lessee, which includes the lease time of lessee, lease starting, terminates
Day, while landlord's information is obtained, landlord's information includes landlord's title, this time the business of renting a house corresponds to information of real estate etc., and lessee is believed
Breath and landlord's information are associated storage, and according to information and the landlord's information foundation evaluation item of renting a house, and in preset time period
Interior that corresponding landlord will be reminded to handle evaluation item, lessee can enter evaluation item and handle interface, carry out to this business of renting a house
Evaluation, wherein evaluation item includes evaluating item for the first time and chasing after item of appraising things through discussion, when landlord and lessee complete once to rent a house business,
Lessee evaluates landlord by the system of renting a house, and room row can manage the contract information chartered, each contract in system
Corresponding tenant is qualified once to be evaluated to this tenancy service and once chases after and comment, and then guarantees the true of evaluation
Property.If detecting, lessee and landlord complete business of renting a house, terminal where evaluation interface is pushed to lessee.
Step S20 obtains lessee to the first evaluation result of each normal term at evaluation interface, and based on first evaluation
As a result the weighted average point of each normal term is calculated；
In the present embodiment, evaluation interface includes each normal term to be evaluated, evaluation can be divided into multiple normal terms into
Row evaluation, including the normal terms such as source of houses quality, service quality, rent cost performance, authenticity are evaluated, normal term includes more
The corresponding opinion rating of a evaluation option, for example, very poor, poor, general, good, outstanding etc..Each evaluation option corresponds to different
Scoring, for example, the corresponding scoring of different evaluation grade can be 1-5 points, very poor corresponding scoring is 1 point, and the corresponding scoring of difference is 2
Point, general corresponding scoring is 3 points, and good corresponding scoring is 4 points, and outstanding corresponding scoring is 5 points.Lessee is obtained to each mark of landlord
The weighted average is allocated as this time renting a house for lessee in business to landlord's by the scoring of quasi- item evaluation, and calculate weighted average point
It rents a house scoring, lessee once evaluates landlord, and the scoring of renting a house of landlord just updates primary, and the scoring that will rent a house is stored to room
In eastern credit database.Wherein, which includes the opinion rating and scoring of each normal term.
Step S30, obtain lessee it is described evaluation interface comment column addition the source of houses comment, to the source of houses comment on into
Row semantic analysis, to obtain semantic analysis result；
In the present embodiment, evaluation interface further includes comment column, and user the input source of houses can comment in comment column, specifically
The experience this time rented a house is described, when lessee selects to submit comment, is triggered by submitting button and submits instruction, system obtains this and mentions
It is interdigital that the corresponding source of houses is enabled to comment on, and the source of houses is commented on and carries out semantic analysis, thus according to the interpretation of result lessee of semantic analysis
This time experience of house.
Specifically, described comment on the source of houses carries out semantic analysis, includes: to obtain semantic analysis result step
Step S31 comments on the source of houses and carries out semantic analysis, to obtain each participle, and calculates each participle in institute
State the word frequency occurred in source of houses comment；
In the present embodiment, system carries out word segmentation processing to the source of houses comment of lessee first, removes stop words, and carry out word
Property mark, to obtain each participle, wherein stop words can be preset, i.e., pre-selection be arranged which part of speech word need to remove.
Then each word frequency for segmenting and occurring in all comments is counted, which refers to the number that the word occurs in comment, when
So, the calculating of the word frequency can be the word frequency of single lessee this time evaluation procedure, be also possible in multiple lessees to the landlord's
Word frequency in source of houses comment.
Step 32, the high frequency that statistics word frequency is greater than preset threshold segments, and the high frequency is segmented and is carried out according to preset order
Sequence, and accumulate word frequency sequence table；
In the present embodiment, and by the word frequency of each participle it is compared with preset threshold, obtains word frequency and be greater than default threshold
The participle of value, and then the participle that word frequency is greater than preset threshold is arranged high frequency words according to preset order as high frequency words
Sequence, the preset order include being ranked up according to the sequence of word frequency from high to low, and accumulate a word frequency sequence table, the word frequency
It include each high frequency words and the corresponding word frequency of high frequency words in list.
The word frequency sequence table is matched with preset normal term dictionary, obtains the target of successful match by step S33
Participle, and the target participle is extracted as semantic analysis result.
In the present embodiment, include the title of each normal term in the preset normal term dictionary, by word frequency sequence table and be somebody's turn to do
Normal term dictionary is matched, and is segmented to search in normal term dictionary with target identical in word frequency sequence table, and then can be true
The fixed normal term is the emphasis of lessee's concern, and participle frequency is higher, that is, it is higher to represent lessee's focus.And extract the target point
Word stores target participle into database as semantic analysis result.The source of houses of landlord is commented for example, obtaining multiple lessees
By, and the source of houses is commented on and carries out semantic analysis, the word frequency highest of keyword " price " is calculated according to semantic analysis result, i.e.,
The number that " price " occurs in source of houses comment is most, then system thinks that " price " is the emphasis direction of lessee's concern, extracts and closes
Keyword " price ", and " price " is stored to database, it is of course also possible to extremely by the corresponding price associated storage of each landlord
Database compares the price between renting a house so that lessee search.
Further, after step S30, further includes:
Step S40 carries out intelligent recommendation to information of real estate based on the weighted average point and the semantic analysis result.
In the present embodiment, for user when carrying out source of houses search, system can be according to the weighted average being calculated point pair
The source of houses is ranked up, and information of real estate is showed user according to ranking results, can also be detected by semantic analysis result each
Whether the scoring of the corresponding normal term of target word is greater than first threshold, or the scoring of the corresponding normal term of each target word of detection
Whether second threshold is less than, so that analysis lessee rents a house the satisfaction in business according to testing result.
Specifically, described that intelligent recommendation is carried out to information of real estate based on the weighted average point and the semantic analysis result
The step of include:
Step S41 receives the search instruction of user, obtains corresponding information of real estate based on described search instruction；
In the present embodiment, user can input or select search condition in source of houses search interface, click search button,
Search instruction is triggered, system meets the information of real estate of search condition by searching in information of real estate library according to the search instruction, searches
Rope condition can be source of houses rent, source of houses address, source of houses type etc..
Step S42 is ranked up the information of real estate according to preset order based on the weighted average point, to be arranged
Sequence result；
In the present embodiment, system is when searching the information of real estate for meeting search condition, according to the weighting being calculated
Average mark is ranked up according to preset order to the information of real estate that element obtains is searched, and to obtain ranking results, which includes
The arrangement serial number of information of real estate and information of real estate, the preset order include sequence from high to low.
Step S43 carries out intelligent recommendation to the information of real estate based on the ranking results and the semantic analysis result.
In the present embodiment, according to ranking results to user carry out intelligent recommendation, including according to weighted average point from height to
Low sequence successively shows information of real estate in source of houses search interface, to select for user.
It is, of course, also possible to according to the corresponding mark of target word each in the semantic analysis result analysis source of houses comment commented on the source of houses
Whether quasi- item, which is greater than the first preset threshold, is also less than the second preset threshold, if more than the first preset threshold, then it is assumed that lessee couple
The normal term satisfaction is very high, if less than the second preset threshold, then it is assumed that lessee is very low to the normal term satisfaction.
The source of houses recommended method based on source of houses evaluation semantic analysis that the present embodiment proposes with landlord is by detection lessee
No that the business of renting a house is completed, if completing, then terminal where evaluation interface is pushed to lessee obtains lessee to evaluation interface
Each normal term the first evaluation result, and calculate based on first evaluation result weighted average point of each normal term,
Then the source of houses comment for obtaining comment column addition of the lessee at the evaluation interface, comments on the source of houses and carries out semantic analysis,
To obtain semantic analysis result, intelligence is finally carried out to information of real estate based on the weighted average point and the semantic analysis result
Recommend；Realizing through complete appraisement system is lessee's intelligent recommendation information of real estate, so that improving the source of houses recommends efficiency, into
Improve user experience to one step.
Based on first embodiment, propose that the present invention is based on the second implementations of the source of houses recommended method of source of houses evaluation semantic analysis
, in the present embodiment, step S43 includes:
Step S431 obtains the second evaluation result that the target segments corresponding normal term, determines second evaluation
Whether the scoring in as a result is less than the second preset threshold；
In the present embodiment, the second evaluation result refers to that target segments the evaluation result of corresponding normal term, the second evaluation
As a result include the opinion rating and scoring that target segments corresponding normal term, the scoring in the second evaluation result is preset with first
Threshold value is compared, and determines whether the scoring is greater than the first preset threshold.
Step S432, if more than then adding first identifier to the target and segmenting, generate the first perpetual object, and be based on
First perpetual object and the ranking results carry out intelligent recommendation to the information of real estate.
In the present embodiment, which includes shape mark, Text Flag, color identifier etc., which uses
It is very high in the customer satisfaction for showing the corresponding option of target participle, so, it is pre- that the scoring in the second evaluation result is greater than first
If when threshold value, then first identifier is added to target participle, to generate the first perpetual object, for prompting user to pay close attention to, example
Such as, it if target participle is " rent ", in " rent " anterior locations addition star mark, generates " ★ rent ", then it should " ★ rent
Gold " is the first perpetual object, and user is prompted to pay close attention to the rent of the information of real estate, shows that the source of houses is the cheap room that lessee feels
Source.And first perpetual object is shown together with information of real estate to the source of houses when to information of real estate according to weighted average point sequence
Search interface.
In other embodiments, step S43 further include:
Step S433 obtains the second evaluation result that the target segments corresponding normal term, determines second evaluation
Whether the scoring in as a result is less than the second preset threshold；
In the present embodiment, the second evaluation result refers to that target segments the evaluation result of corresponding normal term, the second evaluation
As a result include the opinion rating and scoring that target segments corresponding normal term, the scoring in the second evaluation result is preset with second
Whether threshold value is compared, determine the scoring less than the second preset threshold.
Step S434 adds second identifier to the target and segments if being less than, and generates the second perpetual object, and be based on
Second perpetual object and the ranking results carry out intelligent recommendation to the information of real estate.
In the present embodiment, which includes shape mark, Text Flag, color identifier etc., which uses
It is very low in the customer satisfaction for showing the corresponding option of target participle, so, the scoring in the second evaluation result is pre- less than second
If when threshold value, then second identifier is added to target participle, to generate the second perpetual object, for prompting user to pay close attention to, example
Such as, if target participle is " house configuration ", in " house configuration " anterior locations addition triangle mark, " ▼ matches in house for generation
Set ", then being somebody's turn to do " configuration of the house ▼ " is the second perpetual object, prompts user to pay close attention to the house configuration of the information of real estate, shows the room
House configuration in source is very poor, and by second perpetual object and information of real estate one when to information of real estate according to weighted average point sequence
It rises and shows to source of houses search interface.It is worth noting that, first identifier is different marks from second identifier, need the first mark
Know and second identifier is distinguished, two kinds of marks respectively represent different meanings, and first identifier represents satisfaction height, second identifier
It is low to represent satisfaction.
The source of houses recommended method based on source of houses evaluation semantic analysis that the present embodiment proposes, is segmented by obtaining the target
Second evaluation result of corresponding normal term, determines whether the scoring in second evaluation result is greater than the first preset threshold,
Then if more than, then add first identifier to the target and segment, generate the first perpetual object, and based on it is described first concern pair
As and the ranking results to the information of real estate carry out intelligent recommendation；Alternatively, obtaining the target segments corresponding normal term
The second evaluation result, determine that the scoring in second evaluation result whether less than the second preset threshold, if being less than, is added
Second identifier to the target segments, and generates the second perpetual object, and be based on second perpetual object and the ranking results
Intelligent recommendation is carried out to the information of real estate；It realizes and the scoring of target participle is judged, so that perpetual object is generated, into
And can in information of real estate recommendation call user's attention, further improve the source of houses and recommend efficiency and user experience.
Based on first embodiment, propose that the present invention is based on the third implementations of the source of houses recommended method of source of houses evaluation semantic analysis
Example, referring to Fig. 3, in the present embodiment, before step S30, further includes:
Step S50 obtains multiple lessees to the third evaluation result of each normal term at evaluation interface, calculates the third and comment
The average mark to score in valence result；
In the present embodiment, the same source of houses may be rented by different lessees, and different lessees can to the evaluation of the same source of houses
Can be different, but when different lessees are lower to the scoring of the same source of houses, it may be considered that the source of houses is the source of houses inferior, so,
Available multiple lessees determine being averaged for each normal term in the third evaluation result to the third evaluation result of the same source of houses
Point, for example, obtaining three lessees to be for the scoring of " service quality " normal term in the same source of houses is not 20 points, 15 points, 10 points,
It then calculates and is equally divided into 15 points.
Step S60 obtains the target criteria item that average mark is less than third predetermined threshold value, and is based on the target criteria Xiang Sheng
At prompt information, terminal where the prompt information is sent to landlord.
In the present embodiment, the average mark of each normal term in third evaluation result is compared with third predetermined threshold value,
It determines whether the average mark is less than third predetermined threshold value, obtains the target criteria item that average mark is less than third predetermined threshold value, according to
Target criteria item generates prompt information, and the prompt information is sent to landlord place terminal, to prompt landlord to carry out the source of houses
It is perfect.The prompt information includes the title of target criteria item, preset prompt statement etc., for example, " house configuration " normal term
Average mark is lower than third predetermined threshold value, then sends house and configured the prompting message mentioned to terminal where landlord, remind landlord couple
House configuration carry out it is perfect, if the relatively low prompting landlord of rent cost performance is according to periphery with the rent price adjustment oneself of house type
Rent price.Certainly, same room row possesses more set sources of houses, and lessee can also evaluate room row.
The source of houses recommended method based on source of houses evaluation semantic analysis that the present embodiment proposes, by obtaining multiple lessees to commenting
The third evaluation result of each normal term at valence interface calculates the average mark to score in the third evaluation result, then obtains flat
Respectively it is less than the target criteria item of third predetermined threshold value, and prompt information is generated based on the target criteria item, by the prompt
Information is sent to terminal where landlord；It realizes and reminds landlord when scoring average mark of the lessee to certain normal terms is too low at night
The source of houses, to improve source of houses quality.
Based on above embodiments, propose that the present invention is based on the 4th implementations of the source of houses recommended method of source of houses evaluation semantic analysis
Example, should be based on source of houses recommended method of source of houses evaluation semantic analysis in the present embodiment referring to Fig. 4 further include:
Step S70, if detecting, landlord's evaluation is completed in lessee, obtains landlord to the evaluation state of lessee, and really
Whether the fixed evaluation state is that state is completed；
In the present embodiment, lessee has confidentiality to the evaluation of landlord, i.e., lessee is to the evaluation of landlord in a period of time
It is interior to be seen by the landlord, but can be seen by other lessees, alternatively, landlord can only use all lessees the evaluation of lessee
Family discloses, and does not disclose landlord user, or, after detecting that the landlord evaluates lessee, by the lessee to the room
The evaluation in east carries out disclosure to the landlord, i.e., after detecting that lessee and landlord evaluate mutually, both sides can just see other side
Evaluation to oneself.
So obtaining evaluation state of the landlord to lessee, the evaluation shape when detecting that lessee evaluates to complete landlord
State includes to complete evaluation and not complete evaluation, and whether detection landlord is that evaluation is completed to the evaluation state of lessee.
Step S80 is commented if so, permission is checked in the evaluation of open landlord and lessee so that landlord mutually checks with lessee
Valence.
In the present embodiment, if landlord's evaluation is completed in lessee, detect that landlord is complete to the evaluation state of lessee
At then permission is checked in the evaluation of open landlord and lessee, and landlord and the lessee is allowed for check the evaluation of other side mutually.
The source of houses recommended method based on source of houses evaluation semantic analysis that the present embodiment proposes, if by detecting lessee to room
East evaluation is completed, then obtains landlord to the evaluation state of lessee, and determines whether the evaluation state is that state is completed, so
Afterwards if so, permission is checked in the evaluation of open landlord and lessee, so that landlord and lessee mutually check evaluation；It realizes and only works as
Just permission is checked in open evaluation when lessee and landlord complete evaluation, to ensure that the confidentiality of evaluation.
In addition, the embodiment of the present invention also provides a kind of source of houses recommendation apparatus based on source of houses evaluation semantic analysis.
It is the function that the source of houses recommendation apparatus first embodiment of semantic analysis is evaluated the present invention is based on the source of houses referring to Fig. 5, Fig. 5
Module diagram.
Source of houses recommendation apparatus the present invention is based on source of houses evaluation semantic analysis is virtual bench, is stored in shown in Fig. 1 and is based on
The source of houses is evaluated in the memory 1005 of the source of houses recommendation apparatus of semantic analysis, for realizing the room based on source of houses evaluation semantic analysis
The institute of source recommended program is functional: whether detection lessee and landlord are completed the business of renting a house, will the push of evaluation interface if completing
Terminal where to lessee；Lessee is obtained to the first evaluation result of each normal term at evaluation interface, and based on first evaluation
As a result the weighted average point of each normal term is calculated；The source of houses for obtaining comment column addition of the lessee at the evaluation interface is commented
By to source of houses comment progress semantic analysis, to obtain semantic analysis result；Based on the weighted average point and the semanteme
It analyzes result and intelligent recommendation is carried out to information of real estate.
Specifically, in the present embodiment, the source of houses recommendation apparatus based on source of houses evaluation semantic analysis includes:
Detection template 101, if completing, will evaluate interface for detecting whether lessee and landlord are completed the business of renting a house
Terminal where pushing to lessee；
First evaluation module 102 for obtaining lessee to the first evaluation result of each normal term at evaluation interface, and is based on
First evaluation result calculates the weighted average point of each normal term；
Second evaluation module 103, for obtaining the source of houses comment of comment column addition of the lessee at the evaluation interface, to institute
It states source of houses comment and carries out semantic analysis, to obtain semantic analysis result；
Intelligent recommendation module 104, for based on it is described weighted average point and the semantic analysis result to information of real estate into
Row intelligent recommendation.
Further, the second evaluation module 103 is also used to:
The source of houses is commented on and carries out semantic analysis, to obtain each participle, and each participle is calculated and is commented in the source of houses
The word frequency occurred in；
The high frequency participle that word frequency is greater than preset threshold is counted, the high frequency is segmented and is ranked up according to preset order, and
Accumulate word frequency sequence table；
The word frequency sequence table is matched with preset normal term dictionary, obtains the target participle of successful match, and
The target participle is extracted as semantic analysis result.
Further, intelligent recommendation module 104 is also used to:
The search instruction for receiving user obtains corresponding information of real estate based on described search instruction；
The information of real estate is ranked up according to preset order based on the weighted average point, to obtain ranking results；
Intelligent recommendation is carried out to the information of real estate based on the ranking results and the semantic analysis result.
Further, intelligent recommendation module 104 is also used to:
The second evaluation result that the target segments corresponding normal term is obtained, determines commenting in second evaluation result
Divide and whether is greater than the first preset threshold；
If more than, then it adds first identifier to the target and segments, the first perpetual object of generation, and closed based on described first
It infuses object and the ranking results and intelligent recommendation is carried out to the information of real estate.
Further, intelligent recommendation module 104 is also used to:
The second evaluation result that the target segments corresponding normal term is obtained, determines commenting in second evaluation result
Whether divide less than the second preset threshold；
If being less than, add second identifier to the target and segment, generates the second perpetual object, and close based on described second
It infuses object and the ranking results and intelligent recommendation is carried out to the information of real estate.
Further, the source of houses recommendation apparatus based on source of houses evaluation semantic analysis further includes cue module, is used for:
Multiple lessees are obtained to the third evaluation result of each normal term at evaluation interface, are calculated in the third evaluation result
The average mark of scoring；
The target criteria item that average mark is less than third predetermined threshold value is obtained, and prompt letter is generated based on the target criteria item
Breath, terminal where the prompt information is sent to landlord.
Further, the source of houses recommendation apparatus based on source of houses evaluation semantic analysis has also reported authority module, is used for:
If detecting, landlord's evaluation is completed in lessee, obtains landlord to the evaluation state of lessee, and determine institute's commentary
Whether valence state is that state is completed；
If so, permission is checked in the evaluation of open landlord and lessee, so that landlord and lessee mutually check evaluation.
Wherein, it is above-mentioned based on the source of houses evaluation semantic analysis source of houses recommendation apparatus in modules function realize with it is above-mentioned
Each step is corresponding in source of houses recommended method embodiment based on source of houses evaluation semantic analysis, and function and realization process are here
No longer repeat one by one.
In addition, the embodiment of the present invention also provides a kind of storage medium.
The source of houses recommended program based on source of houses evaluation semantic analysis is stored on storage medium of the present invention, wherein described be based on
When the source of houses recommended program of source of houses evaluation semantic analysis is executed by processor, realizes and semantic analysis is evaluated based on the source of houses as above-mentioned
The source of houses recommended method the step of.
Wherein, the source of houses recommended program based on source of houses evaluation semantic analysis is performed realized method and can refer to this hair
Each embodiment of the bright source of houses recommended method based on source of houses evaluation semantic analysis, details are not described herein again.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the system that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or system institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or system.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are used so that terminal device (it can be mobile phone,
Computer, server, air conditioner or network equipment etc.) execute method described in each embodiment of the present invention.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of source of houses recommended method based on source of houses evaluation semantic analysis, which is characterized in that described semantic based on source of houses evaluation
The source of houses recommended method of analysis the following steps are included:
Whether detection lessee and landlord are completed the business of renting a house, if completing, terminal where evaluation interface is pushed to lessee；
It obtains lessee and calculates each institute to the first evaluation result of each normal term at evaluation interface, and based on first evaluation result
State the weighted average point of normal term；
The source of houses comment for obtaining comment column addition of the lessee at the evaluation interface, comments on the source of houses and carries out semantic analysis,
To obtain semantic analysis result；
Intelligent recommendation is carried out to information of real estate based on the weighted average point and the semantic analysis result.
2. the source of houses recommended method as described in claim 1 based on source of houses evaluation semantic analysis, which is characterized in that described to institute
It states source of houses comment and carries out semantic analysis, to obtain semantic analysis result the step of includes:
The source of houses is commented on and carries out semantic analysis, to obtain each participle, and calculates each participle in source of houses comment
The word frequency of appearance；
The high frequency participle that word frequency is greater than preset threshold is counted, the high frequency is segmented and is ranked up according to preset order, and is collected
At word frequency sequence table；
The word frequency sequence table is matched with preset normal term dictionary, obtains the target participle of successful match, and is extracted
The target participle is used as semantic analysis result.
3. the source of houses recommended method as claimed in claim 2 based on source of houses evaluation semantic analysis, which is characterized in that described to be based on
The weighted average point and the semantic analysis result include: to the step of information of real estate progress intelligent recommendation
The search instruction for receiving user obtains corresponding information of real estate based on described search instruction；
The information of real estate is ranked up according to preset order based on the weighted average point, to obtain ranking results；
Intelligent recommendation is carried out to the information of real estate based on the ranking results and the semantic analysis result.
4. the source of houses recommended method as claimed in claim 3 based on source of houses evaluation semantic analysis, which is characterized in that described to be based on
The ranking results and the semantic analysis result include: to the step of information of real estate progress intelligent recommendation
The second evaluation result that the target segments corresponding normal term is obtained, determines that the scoring in second evaluation result is
It is no to be greater than the first preset threshold；
If more than, then it adds first identifier to the target and segments, the first perpetual object of generation, and based on first concern pair
As and the ranking results to the information of real estate carry out intelligent recommendation.
5. the source of houses recommended method as claimed in claim 4 based on source of houses evaluation semantic analysis, which is characterized in that described to be based on
The step of ranking results and the semantic analysis result carry out intelligent recommendation to the information of real estate further include:
The second evaluation result that the target segments corresponding normal term is obtained, determines that the scoring in second evaluation result is
It is no less than the second preset threshold；
If being less than, add second identifier to the target and segment, generates the second perpetual object, and based on second concern pair
As and the ranking results to the information of real estate carry out intelligent recommendation.
6. the source of houses recommended method as described in claim 1 based on source of houses evaluation semantic analysis, which is characterized in that the acquisition
Lessee comments on the source of houses and carries out semantic analysis, to obtain language in the source of houses comment of the comment column addition at the evaluation interface
Before the step of justice analysis result, the source of houses recommended method based on source of houses evaluation semantic analysis further include:
Multiple lessees are obtained to the third evaluation result of each normal term at evaluation interface, calculates and scores in the third evaluation result
Average mark；
The target criteria item that average mark is less than third predetermined threshold value is obtained, and prompt information is generated based on the target criteria item,
Terminal where the prompt information is sent to landlord.
7. the source of houses recommended method as claimed in any one of claims 1 to 6 based on source of houses evaluation semantic analysis, which is characterized in that
The source of houses recommended method based on source of houses evaluation semantic analysis further include:
If detecting, landlord's evaluation is completed in lessee, obtains landlord to the evaluation state of lessee, and determine the evaluation shape
Whether state is that state is completed；
If so, permission is checked in the evaluation of open landlord and lessee, so that landlord and lessee mutually check evaluation.
8. a kind of source of houses recommendation apparatus based on source of houses evaluation semantic analysis, which is characterized in that described semantic based on source of houses evaluation
The source of houses recommendation apparatus of analysis includes:
Evaluation interface, if completing, is pushed to rent for detecting whether lessee and landlord are completed the business of renting a house by detection template
Terminal where objective；
First evaluation module, for obtaining lessee to the first evaluation result of each normal term at evaluation interface, and based on described the
One evaluation result calculates the weighted average point of each normal term；
Second evaluation module, for obtaining the source of houses comment of comment column addition of the lessee at the evaluation interface, to the source of houses
Comment carries out semantic analysis, to obtain semantic analysis result；
Intelligent recommendation module is pushed away for carrying out intelligence to information of real estate based on the weighted average point and the semantic analysis result
It recommends.
9. a kind of source of houses recommendation apparatus based on source of houses evaluation semantic analysis, which is characterized in that described semantic based on source of houses evaluation
The source of houses recommendation apparatus of analysis includes processor, memory and is stored on the memory and can be held by the processor
The capable source of houses recommended program based on source of houses evaluation semantic analysis, wherein the source of houses based on source of houses evaluation semantic analysis is recommended
When program is executed by the processor, realize as described in any one of claims 1 to 7 based on the source of houses evaluation semantic analysis
The step of source of houses recommended method.
10. a kind of storage medium, which is characterized in that be stored with the source of houses based on source of houses evaluation semantic analysis on the storage medium
Recommended program, wherein realizing such as right when the source of houses recommended program based on source of houses evaluation semantic analysis is executed by processor
It is required that the step of evaluating the source of houses recommended method of semantic analysis based on the source of houses described in any one of 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910330134.2A CN110069712A (en) | 2019-04-23 | 2019-04-23 | Source of houses recommended method and relevant device based on source of houses evaluation semantic analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910330134.2A CN110069712A (en) | 2019-04-23 | 2019-04-23 | Source of houses recommended method and relevant device based on source of houses evaluation semantic analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110069712A true CN110069712A (en) | 2019-07-30 |
Family
ID=67368544
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910330134.2A Pending CN110069712A (en) | 2019-04-23 | 2019-04-23 | Source of houses recommended method and relevant device based on source of houses evaluation semantic analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110069712A (en) |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111027999A (en) * | 2019-10-22 | 2020-04-17 | 贝壳技术有限公司 | User sharing recommendation method and device, electronic equipment and storage medium |
| CN111161034A (en) * | 2019-12-31 | 2020-05-15 | 青梧桐有限责任公司 | Method for constructing recommendation engine based on LBS (location based service) renting scene |
| CN111291206A (en) * | 2020-01-22 | 2020-06-16 | 北京无限光场科技有限公司 | Method and device for marking house source, electronic equipment and storage medium |
| CN111552868A (en) * | 2020-03-31 | 2020-08-18 | 北京城市网邻信息技术有限公司 | Room source information sequencing method and device |
| CN111985964A (en) * | 2020-08-07 | 2020-11-24 | 上海选家网络科技有限公司 | Processing method and system for house source price information |
| CN112115368A (en) * | 2020-09-29 | 2020-12-22 | 安徽访得信息科技有限公司 | Method for content information distribution engine based on big data |
| TWI739372B (en) * | 2020-04-07 | 2021-09-11 | 中華誠信資產管理顧問股份有限公司 | Real estate comparative price geographic information evaluation method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102903064A (en) * | 2012-10-11 | 2013-01-30 | 宋剑 | Renting deciding method and system |
| CN103700003A (en) * | 2013-12-30 | 2014-04-02 | 陶鹏 | House online direct renting method and system based on wish conformity matching |
| CN104077693A (en) * | 2013-03-27 | 2014-10-01 | 腾讯科技（深圳）有限公司 | Commodity comparison method, server, client side and e-commerce system |
| CN104182476A (en) * | 2014-08-01 | 2014-12-03 | 广东建邦计算机软件有限公司 | Housing information publishing and inquiring method and system |
| CN109508423A (en) * | 2018-12-14 | 2019-03-22 | 平安科技（深圳）有限公司 | Source of houses recommended method, device, equipment and storage medium based on semantics recognition |
-
2019
- 2019-04-23 CN CN201910330134.2A patent/CN110069712A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102903064A (en) * | 2012-10-11 | 2013-01-30 | 宋剑 | Renting deciding method and system |
| CN104077693A (en) * | 2013-03-27 | 2014-10-01 | 腾讯科技（深圳）有限公司 | Commodity comparison method, server, client side and e-commerce system |
| CN103700003A (en) * | 2013-12-30 | 2014-04-02 | 陶鹏 | House online direct renting method and system based on wish conformity matching |
| CN104182476A (en) * | 2014-08-01 | 2014-12-03 | 广东建邦计算机软件有限公司 | Housing information publishing and inquiring method and system |
| CN109508423A (en) * | 2018-12-14 | 2019-03-22 | 平安科技（深圳）有限公司 | Source of houses recommended method, device, equipment and storage medium based on semantics recognition |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111027999A (en) * | 2019-10-22 | 2020-04-17 | 贝壳技术有限公司 | User sharing recommendation method and device, electronic equipment and storage medium |
| CN111027999B (en) * | 2019-10-22 | 2023-10-20 | 贝壳技术有限公司 | Method and device for recommending collage renter, electronic equipment and storage medium |
| CN111161034A (en) * | 2019-12-31 | 2020-05-15 | 青梧桐有限责任公司 | Method for constructing recommendation engine based on LBS (location based service) renting scene |
| CN111291206A (en) * | 2020-01-22 | 2020-06-16 | 北京无限光场科技有限公司 | Method and device for marking house source, electronic equipment and storage medium |
| CN111291206B (en) * | 2020-01-22 | 2024-03-29 | 北京有竹居网络技术有限公司 | Method and device for marking house source, electronic equipment and storage medium |
| CN111552868A (en) * | 2020-03-31 | 2020-08-18 | 北京城市网邻信息技术有限公司 | Room source information sequencing method and device |
| CN111552868B (en) * | 2020-03-31 | 2024-06-11 | 北京城市网邻信息技术有限公司 | House source information ordering method and device |
| TWI739372B (en) * | 2020-04-07 | 2021-09-11 | 中華誠信資產管理顧問股份有限公司 | Real estate comparative price geographic information evaluation method and system |
| CN111985964A (en) * | 2020-08-07 | 2020-11-24 | 上海选家网络科技有限公司 | Processing method and system for house source price information |
| CN112115368A (en) * | 2020-09-29 | 2020-12-22 | 安徽访得信息科技有限公司 | Method for content information distribution engine based on big data |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110069712A (en) | Source of houses recommended method and relevant device based on source of houses evaluation semantic analysis | |
| McCombs et al. | Setting the agenda: Mass media and public opinion | |
| US9972055B2 (en) | Fact checking method and system utilizing social networking information | |
| KR101712180B1 (en) | Computer Readable Recording Medium with Program, method and apparatus for Transmitting/Receiving Message | |
| US9454563B2 (en) | Fact checking search results | |
| KR101797856B1 (en) | Method and system for artificial intelligence learning using messaging service and method and system for relaying answer using artificial intelligence | |
| US9177053B2 (en) | Method and system for parallel fact checking | |
| US20140278633A1 (en) | Skill-based candidate matching | |
| US20120233253A1 (en) | Method and system for interacting and servicing users by orientation | |
| US20120317046A1 (en) | Candidate fact checking method and system | |
| US20120185486A1 (en) | Systems and methods for utilizing and searching social network information | |
| US20070067288A1 (en) | Community search system through network and method thereof | |
| US10628469B2 (en) | Information processing method and electronic device | |
| Lee et al. | Understanding mobile Q&A usage: an exploratory study | |
| CN110474944A (en) | Processing method, device and the storage medium of the network information | |
| CN109558531A (en) | News information method for pushing, device and computer equipment | |
| Cooley | Examining development of E-Government in Russia and China: A comparative approach | |
| Bhusal | Do informal forums matter? Lessons from Nepal’s local policymaking | |
| JP2015172856A (en) | Information collection evaluation device, information collection evaluation method and information collection evaluation program | |
| US11134045B2 (en) | Message sorting system, message sorting method, and program | |
| KR101612895B1 (en) | Apparatus and method for providing social network service | |
| CN109146737B (en) | Intelligent interaction method and device based on examination platform | |
| CN105760423A (en) | Service platform system and method for competing for application intelligence | |
| CN106774979A (en) | Input method method of testing and device | |
| JP2013210792A (en) | Lesson question/answer system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20190730 |
|
| WD01 | Invention patent application deemed withdrawn after publication |