CN106227900A - Recommending scenery spot equipment, method and system - Google Patents
Recommending scenery spot equipment, method and system Download PDFInfo
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Abstract
The present invention provides a kind of recommending scenery spot equipment, method and system, described recommending scenery spot equipment includes: first communication module, second communication module, processing module and memory module, it also includes recommending scenery spot module, being connected with first communication module and second communication module, described recommending scenery spot module includes that data acquisition subsystem, data mining subsystem and user recommend subsystem；Wherein, data acquisition subsystem is used for recording user operation behavior, forms user behavior record, and Real-time Feedback recommends the recommendation computing unit in subsystem to user, as the initial data of data mining；Data mining subsystem, for described user behavior record carries out pretreatment, generates recommendation rules, the foundation recommended as user；User recommends subsystem according to user behavior record, uses recommendation rules, by recommending scenery spot to user.Recommending scenery spot equipment of the present invention, method and system can use big data, have independent learning ability, be capable of personalization tourist attractions recommend.
Description
Technical field
The present invention relates to travel information service technical field, particularly relate to a kind of tourist attractions recommendation apparatus, method and be
System.
Background technology
Along with tourist industry and the development of business, increasing people likes going out tourism after the leisure.Smart travel with
Facilitate user to travel as principle, abundant travel information is combined, by the management of wisdom, allow these information with every
The contact of one traveller is tightr.
Mostly the domestic research at smart travel recommending scenery spot is to concentrate on the improvement to basic commending system of travelling, to big number
According to utilization inadequate, independent learning ability is limited.Foreign study can use the didactic way of recommendation, simultaneously according to accessing use
Family dissimilar, carries out different suggested designs, but the commending system of this form, the letter different user not obtained
Breath connects, and produces diversified recommendation pattern, the real information recommendation realizing personalization.
Accordingly, it would be desirable to a kind of use big data, have independent learning ability, be capable of personalization tourist attractions recommend
Method and apparatus.
Summary of the invention
It is an object of the invention to provide a kind of recommending scenery spot equipment, including first communication module, second communication module, process
Module, memory module and recommending scenery spot module, wherein,
Described first communication module, for pushing multimedia resource to mobile terminal, receives and parses through the number that mobile terminal sends
According to bag, the mark of acquisition mobile terminal and signal intensity also forward it to described processing module；
Processing module, for receiving mark and the signal intensity of the mobile terminal that described first communication module sends, adds up artificial abortion
Amount, and people flow rate statistical result is preserved to memory module；
Memory module, the people flow rate statistical that the multimedia resource and processing module for preserving second communication module acquisition calculates
Result；
Second communication module, for carrying out information alternately with server, downloads multimedia resource and user operation row from server
For data；
Recommending scenery spot module, for generating recommendation rules according to the user operation behavioral data obtained by second communication module,
And use described recommendation rules to calculate recommendation sight spot, by first communication module, recommendation sight spot is sent to user.
Described recommending scenery spot module includes that data acquisition subsystem, data mining subsystem and user recommend subsystem;Its
In, data acquisition subsystem, for obtaining user operation behavioral data by second communication module, records described user operation row
For, forming user behavior record, Real-time Feedback recommends the recommendation computing unit in subsystem to user, as data mining
Initial data；Data mining subsystem, for described user behavior record carries out pretreatment, generates recommendation rules, as with
The foundation that family is recommended；User recommends subsystem according to user behavior record, uses recommendation rules, by first communication module by scape
Point recommends user.
Described data acquisition subsystem includes behavior analysis unit and log database, and wherein behavior analysis unit is to user
Operation behavior be analyzed, generate user behavior record, be deposited into log database and feed back to user and recommend subsystem
In recommendation computing unit.
Described data mining subsystem includes data pre-processing unit, transaction database, data mining unit and rule set
Data base, wherein the user behavior record in log database is weighted analyzing, by analysis result by data pre-processing unit
It is stored in transaction database；Data mining unit, using the data in transaction database as input, generates recommendation rules, is stored in rule
Collection data base.
Described user recommends subsystem to include recommending computing unit, media database, streaming media service unit and sight spot to push away
Recommending unit, wherein, recommending scenery spot unit, according to the user behavior record recommending computing unit to provide, obtains from media database
Picture and text message, to streaming media service unit requests pushing video information, integrate and generate recommending scenery spot information.
Described user operation behavior includes video, picture and/or word and the browsing time thereof that user browses in webpage.
Described first communication module is WIFI module, and described second communication module is 3G and/or 4G module.
Described mobile terminal identification is the MAC Address of mobile terminal.
The present invention also provides for a kind of recommending scenery spot method, is applied to recommending scenery spot equipment, described recommending scenery spot equipment, including
First communication module, second communication module, processing module, memory module and recommending scenery spot module, described recommending scenery spot module bag
Including data acquisition subsystem, data mining subsystem and user recommends subsystem, described method to comprise the steps:
Behavior analysis unit in the most described data acquisition subsystem obtains described mobile terminal from described second communication module
The operation behavior of user；
The operation behavior of the most described behavior analysis unit user to getting is analyzed, and generates user behavior record, will
It is stored in the log database in described data acquisition subsystem and feeds back to described user and recommend the described recommendation in subsystem
Computing unit,；
User behavior record in log database is carried out by the data pre-processing unit in the most described data mining subsystem
Weighted analysis, is stored in transaction database by analysis result；
Data mining unit in the most described data mining subsystem is with in the transaction database in data mining subsystem
Data, as input, generate recommendation rules, the rule set data storehouse being stored in data mining subsystem；
The most described user recommends the recommending scenery spot unit in subsystem to recommend the recommendation computing unit in subsystem according to user
The user behavior record provided, recommends to obtain in the media database subsystem picture and text message from described user, to
Described user recommends the streaming media service unit requests pushing video information in subsystem, integrates and generates recommending scenery spot information；
Above-mentioned recommending scenery spot information is sent to described first communication module by the most described recommending scenery spot unit；
The recommending scenery spot information received is sent to described mobile terminal by the most described first communication module.
The present invention also provides for a kind of recommending scenery spot system, including aforementioned recommending scenery spot equipment.
People's recommending scenery spot equipment of the present invention, method and system can use big data, have independent learning ability,
The tourist attractions being capable of personalization are recommended.
Accompanying drawing explanation
Fig. 1 is according to the recommending scenery spot equipment structure chart shown in embodiment of the present invention.
Fig. 2 is according to the recommending scenery spot method flow diagram shown in embodiment of the present invention.
Fig. 3 is according to the recommending scenery spot system pie graph shown in embodiment of the present invention.
Detailed description of the invention
For making the object, technical solutions and advantages of the present invention of greater clarity, below in conjunction with detailed description of the invention and join
According to accompanying drawing, the present invention is described in more detail.It should be understood that these describe the most exemplary, and it is not intended to limit this
Bright scope.Additionally, in the following description, eliminate the description to known features and technology, to avoid unnecessarily obscuring this
The concept of invention.
Fig. 1 is according to the recommending scenery spot equipment structure chart shown in embodiment of the present invention.Described recommending scenery spot equipment includes
First communication module, second communication module, processing module and memory module, wherein,
Described first communication module, is connected with processing module and memory module respectively, for pushing multimedia money to mobile terminal
Source, receives and parses through the packet that mobile terminal sends, and the mark of acquisition mobile terminal and signal intensity also forward it to institute
State processing module；Described mobile terminal identification is the MAC Address of mobile terminal.Described first communication module is WIFI module.
Processing module, is connected with first communication module and memory module respectively, is used for receiving described first communication module and sends out
The mark of the mobile terminal sent and signal intensity, add up flow of the people, and preserve people flow rate statistical result to memory module.
Memory module, is connected with processing module, first communication module, second communication module respectively, leads to for preserving second
The people flow rate statistical result that the multimedia resource of letter module acquisition and processing module calculate；The visitor that described processing module will calculate
Flow is uploaded onto the server by second communication module.
Second communication module, is connected with memory module, for carrying out information alternately with server, downloads many matchmakers from server
Body resource also forwards it to described memory module and stores；Described second communication module is 3G and/or 4G module.
Described equipment also includes recommending scenery spot module, is connected with first communication module and second communication module, described sight spot
Recommending module includes that data acquisition subsystem, data mining subsystem and user recommend subsystem;Wherein, data acquisition subsystem
System, for recording user operation behavioral data, forms user behavior record, and Real-time Feedback recommends the recommendation in subsystem to user
Computing unit, as the initial data of data mining；Data mining subsystem is for carrying out described user behavior record
Pretreatment, generates recommendation rules, the foundation recommended as user；User recommends subsystem to push away according to user behavior record, utilization
Recommend rule, by recommending scenery spot to user.
Described data acquisition subsystem includes behavior analysis unit and log database, and wherein behavior analysis unit is to user
Operation behavior be analyzed, generate user behavior record, be deposited into log database and feed back to user and recommend subsystem
In recommendation computing unit.Described user operation behavior includes video, picture and/or word that user browses in webpage and clear
Look at the time.
Described data mining subsystem includes data pre-processing unit, transaction database, data mining unit and rule set
Data base, wherein the user behavior record in log database is weighted analyzing, by analysis result by data pre-processing unit
It is stored in transaction database；Data mining unit, using the data in transaction database as input, generates recommendation rules, is stored in rule
Collection data base.
Described user recommends subsystem to include recommending computing unit, media database, streaming media service unit and sight spot to push away
Recommending unit, wherein, recommending scenery spot unit, according to the user behavior record recommending computing unit to provide, obtains from media database
Picture and text message, recommend the streaming media service unit requests pushing video information in subsystem to user, integrates and generates scape
Point recommendation information.
The present invention also proposes another kind of recommending scenery spot equipment, including first communication module, second communication module, processing module
And memory module, wherein,
Described first communication module, is connected with processing module and memory module respectively, for pushing multimedia money to mobile terminal
Source, receives and parses through the packet that mobile terminal sends, and the mark of acquisition mobile terminal and signal intensity also forward it to institute
State processing module；Described mobile terminal identification is the MAC Address of mobile terminal.Described first communication module is WIFI module.
Processing module, is connected with first communication module and memory module respectively, is used for receiving described first communication module and sends out
The mark of the mobile terminal sent and signal intensity, add up flow of the people, and preserve people flow rate statistical result to memory module.
Memory module, is connected with processing module, first communication module, second communication module respectively, leads to for preserving second
The people flow rate statistical result that the multimedia resource of letter module acquisition and processing module calculate；The people that described processing module will calculate
Flow is uploaded onto the server by second communication module.
Second communication module, is connected with memory module, for carrying out information alternately with server, downloads many matchmakers from server
Body resource also forwards it to described memory module and stores；Described second communication module is 3G and/or 4G module.
Described equipment also includes recommending scenery spot module, is connected with first communication module and second communication module, including user
Modeling unit, recommended engine unit and result recommendation unit.
Wherein, user modeling unit determines use from second communication module by information acquiring pattern explicitly and/or implicitly
The archive information at family and interest preference, set up user model.Described explicit information obtains mode and includes arranging restrictive condition, statistics
User preferences and/or tourism target.Described implicit information obtains mode and includes obtaining the browsing histories of user and/or to sight spot
Scoring.
Recommended engine unit is that user generates according to user model, contextual information, knowledge base and/or basic database
Result is also ranked up by the recommendation results of property.Described contextual information includes the information provided by third party's network service
Information (such as position, direction, speed etc.) that (such as weather, Real-time Traffic Information etc.), mobile terminal perceive, tourism companion
Suggestion and/or tourism companion's personal information in social networks.Described basic database includes tourism industry information bank (bag
Include the information such as all kinds of sight spot, restaurant, public place of entertainment), third party's web service information bank (include each sight spot open hour, public
The information such as traffic schedule) and/or tourism knowledge base (including tour field general knowledge, rule of inference etc.).
The recommendation results that recommended engine unit obtains is sent to first communication module by result recommendation unit, thus will recommend
Result represents at mobile terminal with the form of list and/or map.
Fig. 2 is according to the recommending scenery spot method shown in embodiment of the present invention, is applied to the first recommending scenery spot aforementioned and sets
Standby, described method comprises the steps:
Behavior analysis unit in the most described data acquisition subsystem obtains described mobile terminal from described second communication module
The operation behavior of user；
The operation behavior of the most described behavior analysis unit user to getting is analyzed, and generates user behavior record, will
It is stored in the log database in described data acquisition subsystem and feeds back to described user and recommend the described recommendation in subsystem
Computing unit；
User behavior record in log database is carried out by the data pre-processing unit in the most described data mining subsystem
Weighted analysis, is stored in transaction database by analysis result；
Data mining unit in the most described data mining subsystem is with in the transaction database in data mining subsystem
Data, as input, generate recommendation rules, the rule set data storehouse being stored in data mining subsystem；
The most described user recommends the recommending scenery spot unit in subsystem to recommend the recommendation computing unit in subsystem according to user
The user behavior record provided, recommends to obtain in the media database subsystem picture and text message from described user, to
Described user recommends the streaming media service unit requests pushing video information in subsystem, integrates and generates recommending scenery spot information；
Above-mentioned recommending scenery spot information is sent to described first communication module by the most described recommending scenery spot unit；
The recommending scenery spot information received is sent to described mobile terminal by the most described first communication module.
The present invention also proposes another kind of recommending scenery spot method, is applied to aforementioned the second recommending scenery spot equipment, described method
Comprise the steps:
The most described user modeling unit is determined by information acquiring pattern explicitly and/or implicitly from described second communication module
The archive information of user and interest preference, set up user model；
S2. recommended engine unit is that user generates according to user model, contextual information, knowledge base and/or basic database
Result is also ranked up by the recommendation results of property；
S3. the recommendation results that recommended engine unit obtains is sent to first communication module by result recommendation unit, thus will recommend
Result represents at mobile terminal with the form of list and/or map.
Fig. 3 is according to the recommending scenery spot system pie graph shown in embodiment of the present invention, and it includes that aforementioned recommending scenery spot sets
Standby.
Recommending scenery spot equipment of the present invention, method and system can be used big data, have independent learning ability, energy
Enough tourist attractions realizing personalization are recommended.
Claims (10)
1. a recommending scenery spot equipment, including first communication module, second communication module, processing module, memory module and sight spot
Recommending module, wherein,
Described first communication module, for pushing multimedia resource to mobile terminal, receives and parses through the number that mobile terminal sends
According to bag, the mark of acquisition mobile terminal and signal intensity also forward it to described processing module；
Processing module, for receiving mark and the signal intensity of the mobile terminal that described first communication module sends, adds up artificial abortion
Amount, and people flow rate statistical result is preserved to memory module；
Memory module, the people flow rate statistical that the multimedia resource and processing module for preserving second communication module acquisition calculates
Result；
Second communication module, for carrying out information alternately with server, downloads multimedia resource and user operation row from server
For data；
Recommending scenery spot module, for generating recommendation rules according to the user operation behavioral data obtained by second communication module,
And use described recommendation rules to calculate recommendation sight spot, by first communication module, recommendation sight spot is sent to user.
2. equipment as claimed in claim 1, it is characterised in that described recommending scenery spot module includes data acquisition subsystem, number
Subsystem is recommended according to excavation subsystem and user；Wherein, data acquisition subsystem is for obtaining user by second communication module
Operation behavior data, record described user operation behavior, form user behavior record, and Real-time Feedback is recommended in subsystem to user
Recommendation computing unit, as the initial data of data mining；Data mining subsystem is for remembering described user behavior
Record carries out pretreatment, generates recommendation rules, the foundation recommended as user；User recommend subsystem according to user behavior record,
Use recommendation rules, by first communication module by recommending scenery spot to user.
3. equipment as claimed in claim 2, it is characterised in that described data acquisition subsystem includes behavior analysis unit and day
Will data base, wherein the operation behavior of user is analyzed by behavior analysis unit, generates user behavior record, is deposited into day
Will data base also feeds back to user and recommends the recommendation computing unit in subsystem.
4. equipment as claimed in claim 3, it is characterised in that described data mining subsystem include data pre-processing unit,
Transaction database, data mining unit and rule set data storehouse, wherein data pre-processing unit is to the user in log database
Behavior record is weighted analyzing, and analysis result is stored in transaction database；Data mining unit is with the number in transaction database
According to as input, generate recommendation rules, be stored in rule set data storehouse.
5. equipment as claimed in claim 4, it is characterised in that described user recommends subsystem to include recommending computing unit, matchmaker
Volume data storehouse, streaming media service unit and recommending scenery spot unit, wherein, recommending scenery spot unit is according to recommending computing unit offer
User behavior record, obtains picture and text message from media database, believes to streaming media service unit requests pushing video
Breath, integrates and generates recommending scenery spot information.
6. the equipment as described in one of claim 1-5, it is characterised in that described user operation behavior includes that user browses webpage
In video, picture and/or word and the browsing time.
7. the equipment as described in one of claim 1-5, it is characterised in that described first communication module is WIFI module, described
Second communication module is 3G and/or 4G module.
8. the equipment as described in one of claim 1-5, it is characterised in that described mobile terminal identification is the MAC of mobile terminal
Address.
9. a recommending scenery spot method, is applied to recommending scenery spot equipment, described recommending scenery spot equipment, including first communication module,
Second communication module, processing module, memory module and recommending scenery spot module, described recommending scenery spot module includes data acquisition subsystem
System, data mining subsystem and user recommend subsystem, described method to comprise the steps:
Behavior analysis unit in the most described data acquisition subsystem obtains the use of mobile terminal from described second communication module
The operation behavior at family；
The operation behavior of the most described behavior analysis unit user to getting is analyzed, and generates user behavior record, will
It is stored in the log database in described data acquisition subsystem and feeds back to described user and recommend the described recommendation in subsystem
Computing unit；
User behavior record in log database is carried out by the data pre-processing unit in the most described data mining subsystem
Weighted analysis, is stored in transaction database by analysis result；
Data mining unit in the most described data mining subsystem is with in the transaction database in data mining subsystem
Data, as input, generate recommendation rules, the rule set data storehouse being stored in data mining subsystem；
The most described user recommends the recommending scenery spot unit in subsystem to recommend the recommendation computing unit in subsystem according to user
The user behavior record provided, recommends to obtain in the media database subsystem picture and text message from described user, to
Described user recommends the streaming media service unit requests pushing video information in subsystem, integrates and generates recommending scenery spot information；
Above-mentioned recommending scenery spot information is sent to described first communication module by the most described recommending scenery spot unit；
The recommending scenery spot information received is sent to described mobile terminal by the most described first communication module.
10. a recommending scenery spot system, including the recommending scenery spot equipment as described in any one of claim 1-8.
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