CN110955838A - House resource recommendation processing method and device, terminal and computer readable storage medium - Google Patents
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Abstract
The invention discloses a house source recommendation processing method, a device, a terminal and a computer readable storage medium, comprising the following steps: acquiring service capability information of each service individual of a house intermediary organization; acquiring service area information of each service individual; acquiring the working time information of each service individual; wherein the working time information comprises time for planning introduction of the house source; acquiring reserved house-viewing time and target house position of a client; and matching the client with the specified service individual for recommending the house source according to the reserved house-viewing time and the target house position of the client, the service capability information of each service individual, the service area information of each service individual and the working time information of each service individual. The invention solves the problem that the house intermediary mechanism in the prior art can not effectively utilize the acquired large amount of information to quickly provide a proper house source for the customer, and improves the efficiency of matching the house intermediary mechanism with the proper house source for the customer by effectively integrating the acquired large amount of information.
Description
Technical Field
The invention relates to the field of information processing, in particular to a room source recommendation processing method, device, terminal and computer readable storage medium.
Background
With the rapid development of the current social science and technology and the continuous improvement of the informatization level, the house intermediary agency management is improved by utilizing advanced technology and management means, and the method becomes a necessary way for realizing the cross-over development of the national real estate. However, the management mode of the traditional house agency is relatively disordered, effective integration analysis on house source information, customer source information and other information is not performed, only the brokers of the house agency are matched with the customers at random and the house sources are recommended, the working quality of the house agency and the efficiency of finding satisfactory house sources by the customers are greatly influenced, the customer experience is poor, and the management of the house agency does not meet the normalization and scientific standards.
Therefore, how to process a large amount of information acquired through multiple ways by a house intermediary organization to quickly provide a proper house source for a client becomes a key point of urgent solution and research for those skilled in the art.
Disclosure of Invention
In view of this, embodiments of the present invention provide a house resource recommendation processing method, apparatus, terminal, and computer-readable storage medium, so as to solve the problem in the prior art that a house intermediary cannot effectively utilize a large amount of acquired information to quickly provide a suitable house resource for a client.
Therefore, the embodiment of the invention provides the following technical scheme:
in a first aspect of the present invention, a room source recommendation processing method is provided, including: acquiring service capability information of each service individual of a house intermediary organization; acquiring service area information of each service individual; acquiring the working time information of each service individual; wherein the working time information comprises time for planning introduction of the house source; acquiring reserved house-viewing time and target house position of a client; and matching the client with the specified service individuals for recommending house sources according to the reserved house-viewing time and the target house position of the client, the service capacity information of each service individual, the service area information of each service individual and the working time information of each service individual.
Optionally, after matching the specified service individuals for recommending house sources for the client, the method further comprises: acquiring the house source demand information of the client according to the historical click and/or search and/or house source collection information of the client; acquiring house source information of a first predetermined area; wherein the first predetermined area house source information comprises information of at least one of: house position information, house self characteristic information, community facility information, peripheral POI information and traffic information; and screening the house sources in the house source information of the first predetermined area according to the house source demand information of the client, and determining a first specified house source recommended for the client.
Optionally, after matching the specified service individuals for recommending house sources for the client, the method further comprises: if the house source demand information of the client is not in the range of the house source information of the first predetermined area, screening the house source in the house source information of the second predetermined area according to the house source demand information of the client, and determining a second specified house source recommended for the client; wherein the second predetermined area room source information includes information of at least one of: house position information, house self characteristic information, cell facility information, peripheral POI information, and traffic information.
Optionally, the obtaining of the service capability information of each service individual of the house agency includes: calculating the service capability information of each service individual according to at least one of the following information of each service individual: historical contract number, office card punching records and customer evaluation information.
Optionally, matching the specified service individuals for recommending house sources for the client further comprises: acquiring historical access information of the client; and matching the client with a specified service individual according to the historical access information.
In a second aspect of the present invention, there is provided a house source recommendation processing apparatus, including: the first acquisition module is used for acquiring the service capability information of each service individual of the house intermediary organization; the second acquisition module is used for acquiring the service area information of each service individual; the third acquisition module is used for acquiring the working time information of each service individual; wherein the working time information comprises time for planning introduction of the house source; the fourth acquisition module is used for acquiring the reserved house-viewing time and the target house position of the client; and the first matching module is used for matching the client with the specified service individuals for recommending the house source according to the reserved house-viewing time and the target house position of the client, the service capacity information of each service individual, the service area information of each service individual and the working time information of each service individual.
Optionally, the apparatus further comprises: the fifth acquisition module is used for acquiring the house source demand information of the client according to the historical click and/or search and/or house source collection information of the client; the sixth acquisition module is used for acquiring the house source information of the first predetermined area; wherein the first predetermined area house source information comprises information of at least one of: house position information, house self characteristic information, community facility information, peripheral POI information and traffic information; and the first recommending module is used for screening the house resources in the house resource information of the first predetermined area according to the house resource demand information of the client and determining the first specified house resource recommended by the client.
Optionally, the apparatus further comprises: the second recommending module is used for screening the house resources in the house resource information of a second predetermined area according to the house resource demand information of the client if the house resource demand information of the client is not in the house resource information range of the first predetermined area, and determining a second specified house resource recommended by the client; wherein the second predetermined area room source information includes information of at least one of: house position information, house self characteristic information, cell facility information, peripheral POI information, and traffic information.
Optionally, the first obtaining module is further configured to calculate service capability information of each service individual according to information of at least one of the following of each service individual: historical contract number, office card punching records and customer evaluation information.
Optionally, the apparatus further comprises: a seventh obtaining module, configured to obtain historical access information of the client; and the second matching module is used for matching the client with the specified service individual according to the historical access information.
In a third aspect of the present invention, a terminal is provided, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of processing a premises recommendation as described in any of the first aspects above.
In a fourth aspect of the present invention, a computer-readable storage medium is provided, on which computer instructions are stored, and when the instructions are executed by a processor, the computer-readable storage medium implements the house source recommendation processing method according to any one of the first aspect.
The technical scheme of the embodiment of the invention has the following advantages:
the embodiment of the invention provides a room source recommendation processing method, a room source recommendation processing device, a terminal and a computer readable storage medium, wherein the method comprises the following steps: acquiring service capability information of each service individual of a house intermediary organization; acquiring service area information of each service individual; acquiring the working time information of each service individual; wherein the working time information comprises time for planning introduction of the house source; acquiring reserved house-viewing time and target house position of a client; and matching the client with the designated service individual according to the reserved house-viewing time and the target house position of the client, the service capability information of each service individual, the service area information of each service individual and the working time information of each service individual. The invention solves the problem that the house intermediary mechanism in the prior art can not effectively utilize a large amount of acquired information to quickly provide a proper house source for the customer, and improves the efficiency of matching the house intermediary mechanism with the proper house source for the customer and the customer experience by effectively integrating the large amount of acquired information.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
FIG. 1 is a flow chart of a house source recommendation processing method according to an embodiment of the invention;
FIG. 2 is another flow chart of a house source recommendation processing method according to an embodiment of the invention;
fig. 3 is a block diagram showing the structure of a house source recommendation processing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a hardware structure of a terminal according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In the description of the present application, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", and the like indicate orientations or positional relationships based on those shown in the drawings, and are used merely for convenience of description and for simplicity of description, and do not indicate or imply that the referenced device or element must have a particular orientation, be constructed in a particular orientation, and be operated, and thus should not be considered as limiting the present application. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more features. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, details are set forth for the purpose of explanation. It will be apparent to one of ordinary skill in the art that the present application may be practiced without these specific details. In other instances, well-known structures and processes are not set forth in detail in order to avoid obscuring the description of the present application with unnecessary detail. Thus, the present application is not intended to be limited to the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.
In accordance with an embodiment of the present invention, there is provided an embodiment of a room source recommendation processing method, it should be noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
In addition, the technical features involved in the different embodiments of the present invention described below may be combined with each other as long as they do not conflict with each other.
The room source recommendation processing method provided in this embodiment may be applied to a smart phone, and may also be applied to a portable tablet computer (PAD), a Personal Digital Assistant (PDA), and other smart devices (electronic devices) having display, processing, and network connection functions. As shown in fig. 1, the process includes the following steps:
s11: and acquiring the service capability information of each service individual of the house intermediary organization. In an optional embodiment, the service capability information of each service individual is extracted through a pre-established sales figure, specifically, the sales figure can be pre-constructed according to the information of the historical contract number, the office card-punching record, the customer evaluation information and the like of the service individual, and of course, other information, such as the watching-in-band behavior, the contract behavior, the historical working track or the preference business circle, the cell information and the like, can be included in other embodiments. It should be noted that, according to the description of the embodiment, a person skilled in the art may use other ways in the prior art to obtain the service capability information of the service individual.
S12: and acquiring service area information of each service individual. In an alternative embodiment, the service area information may be obtained from the historical service areas of the individual services.
S13: acquiring the working time information of each service individual; wherein the working time information includes a time scheduled to introduce the house source. In an alternative embodiment, the working time information may be obtained from a working schedule of each service individual.
S14: and acquiring the reserved house-viewing time and the target house position of the client.
S15: and matching the client with a specified service individual for recommending a house source according to the reserved house-viewing time and the target house position of the client, the service capability information of each service individual, the service area information of each service individual and the working time information of each service individual. For example, when the reserved house-viewing time of the client is 09:00 on 11/1/2019, the target house position is located at the door facing the sun, the service area of the service individual A is the door facing the sun, and the time of the introduction house source of the service individual A plan is 08:30-12:00 on 11/1/2019, the client is matched with the service individual A.
Compared with the prior art that the information of the house position inclined by the client, the service area information of the service individuals, the watching plan filled by the service individuals every day and the like are not fully considered, the service individuals are randomly matched with the client, the order distribution is unreasonable, the watching rate is low, the steps are integrated with the reserved room watching time and the target house position of the client, the service capability information of each service individual, the service area information of each service individual and the working time information of each service individual, and the specified service individual with proper time and position is matched for the client, so that the house watching efficiency is improved, the time of the service individual and the time of both the client are saved, and the client experience is improved.
After the appropriate service individuals are matched for the clients through the embodiment, satisfactory house sources are further matched for the clients, in an optional embodiment, the house source demand information of the clients is obtained according to the history clicking and/or searching and/or collecting information of the house sources of the clients, specifically, the house information and times, history watching records and consultation records of the clients in the approaches of app, official network incoming line and the like in the last month are counted and aggregated, the preference portrait of the clients is comprehensively calculated and established, such as house type preference, price preference, geographical position preference and other information, the potential tendency of the clients is identified, and the demands of the clients are accurately positioned. After the house source demand information of the customer is acquired, first predetermined area house source information which may be interested by the customer is acquired, the first predetermined area house source information may include house position information, house self characteristic information, cell facility information, Point of Interest (POI) information, traffic information and the like, and specifically, the first predetermined area house source information may be acquired according to a pre-established house source portrait, wherein the pre-established house source portrait is also constructed according to the house position information, the house self characteristic information, the cell facility information, the surrounding POI information, the traffic information and other kinds of information. And screening the house sources in the house source information of the first predetermined area according to the house source demand information of the client, and determining a first specified house source recommended for the client.
Based on the specific house renting time, place, renting period, price, periphery and other requirements of the customers in the requirement database, the information of rentable information, rentable time information, periphery POI and the like of the current geographic position in the house source data database is combined, the geohash is used for carrying out region block division on the area, a core area (high customer requirement), a diversion area (relatively high customer requirement) and a cold area (low customer requirement) are established, and support is provided for the subsequent diversion of the core area to the diversion area and the cold area. When the house source demand information of a client is not in the range of the first predetermined area house source information (namely, a core area), the house source is screened in the second predetermined area house source information (namely, a diversion area or a cold door area) according to the house source demand information of the client, a second designated house source recommended for the client is determined, the second predetermined area house source information can comprise house position information, house self characteristic information, district facility information, peripheral POI information, traffic information and other types of information, specifically, after a client portrait is established, based on the inclined position of the client, all client demands of a platform and house source information of a business circle, the probability that the current client can sign is judged when the current client is in a target area is judged, if the current client demand cannot be met in the target area, based on the potential tendency of the client, a client drainage measure is established, and reasonable position drainage is carried out (namely, drainage is carried out from the first predetermined area to the second predetermined area), and the house source information which is the most suitable for the requirement in the diversion area or the cold area is provided for the client, so that the client loss is avoided.
In order to solve the technical problem, in an optional embodiment, historical access information of a customer is obtained, for example, the customer historical access information is obtained, the customer is matched with a designated service individual according to the historical access information, namely, the customer is matched with an individual providing service for the customer before, so that the problem that the customer is inquired by a plurality of service individuals for the same time, the customer is excessively disturbed, and the communication efficiency of both parties is improved.
Referring to fig. 2, a specific embodiment will be described.
For example, a client searches for the house source information of the elevator in the south of the house near the door facing the sun, and the flow of system demand drainage is as follows:
1. establishing an image: according to browsing, collecting and consulting records of house sources near the sun facing door (which is equivalent to the first predetermined area) in the ways of app, official network, incoming line and the like, the preference portrait of the client is established; obtaining information such as house type style preference, price preference about 5000, geographical position of house source less than 1 kilometer away from subway and the like according to historical house renting information of a client, identifying potential tendency of the client, and accurately positioning requirement of the client; building a house source portrait according to the position information, the self characteristic information, the apartment information, the community facility information, the peripheral POI information and the traffic information of the house;
2. establishing a flow zone: after the customer portrait is established, based on the inclined position of the customer, in combination with all customer requirements and house source information of a business district of the platform, the house source information meeting the customer requirements is matched in the area of the sunward door selected by the current customer, and the system calculates the probability of signing according to the behavior requirements of the customer. If the house resources in the area near the sun facing door cannot meet the requirement of a customer for taking an elevator, based on the tendency of the customer, a customer drainage measure is established to carry out reasonable position drainage, for example, price or geographic position (equivalent to second area information) is changed, but other conditions meet the requirement, the system can provide a flow guide area or a cold door area for the customer to screen out the house resource information which best meets the requirement, so that a high-matching house resource is provided for the customer, and the customer loss is avoided;
3. the intelligent order dispatching model comprises: based on the client, the house portrait and the traffic zone data, the client reservation time, the sales geographic position of the 'facing sun' and the sales future viewing plan are combined, the viewing conversion capacity, the historical behaviors and the preference business circle data of the sales are considered, the sales (and service individuals) which best meet the requirements are obtained, the order is sent, and the optimal matching of the client and the sales is realized; if the customer needs to see a plurality of house sources by incoming lines for a plurality of times, the system can merge and distribute the orders to the same salesperson, and the satisfaction degree of the customer on the platform is improved.
Through the embodiment, the machine learning model with multiple targets is established for learning by adopting the visual conversion as the posterior label, acquiring the information such as the characteristics, distribution, coverage rate and the like of the characteristic data through the data exploration and analysis technology based on the behaviors and the portrait related to the client, the house source plot label and the portrait, the sales capability and the visual plan portrait, processing the default value of the characteristic and one-hot-encoding and the like through the characteristic engineering technology, and utilizing time, space, maximum visual rate and the like as optimization targets, wherein the time target is the correlation degree between the client reservation time and the visual plan with sales tape, the space target is the correlation degree between the client desired destination and the visual plan with sales tape, and the maximum visual rate is the relation between the visual capability with sales tape and the visual amount, the quality of sales tape, the value of the sales tape of the destination business circle and the like, the quick and accurate matching order sending model for customer sales is realized, the customer viewing experience is improved, the sales viewing efficiency is improved, and the subscription conversion rate is further improved.
In this embodiment, a room source recommending apparatus is further provided, and the apparatus is used to implement the foregoing embodiments and preferred embodiments, which have already been described and are not described again. As used below, the term "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
This embodiment provides a house source recommendation processing apparatus, as shown in fig. 3, the house source recommendation processing apparatus includes: a first obtaining module 31, configured to obtain service capability information of each service individual of the house intermediary; a second obtaining module 32, configured to obtain service area information of each service individual; a third obtaining module 33, configured to obtain working time information of each service individual; wherein the working time information comprises time for planning introduction of the house source; a fourth obtaining module 34, configured to obtain a reserved house-viewing time of the client and a target house position; the first matching module 35 is configured to match a specified service individual for recommending a house source for the client according to the reserved house-viewing time and the target house location of the client, the service capability information of each service individual, the service area information of each service individual, and the working time information of each service individual.
Compared with the prior art that the client tends to house position, the service area information of the service individuals and the information of the watching plan filled by the service individuals every day are not fully considered, the service individuals are randomly matched with the client, the order distribution is unreasonable, the watching rate is low, the device integrates the reserved room watching time and the target house position of the client, the service capacity information of each service individual, the service area information of each service individual and the working time information of each service individual, and matches the appointed service individual with proper time and position for the client, so that the house watching efficiency is improved, the time of the service individual and the time of both the client are saved, and the client experience is improved.
In an optional embodiment, the apparatus further comprises: the fifth acquisition module is used for acquiring the house source demand information of the client according to the historical click and/or search and/or house source collection information of the client; the sixth acquisition module is used for acquiring the house source information of the first predetermined area; wherein the first predetermined area house source information comprises at least one of the following information: house position information, house self characteristic information, community facility information, peripheral POI information and traffic information; and the first recommending module is used for screening the house sources in the house source information of the first predetermined area according to the house source demand information of the client and determining a first specified house source recommended for the client.
The fifth acquisition module and the sixth acquisition module realize that the house resources which best meet the requirements of the client are recommended to the client. In an optional embodiment, the apparatus further comprises: the second recommending module is used for screening the house resources in the second predetermined area house resource information according to the house resource demand information of the client if the house resource demand information of the client is not in the first predetermined area house resource information range, and determining a second specified house resource recommended for the client; wherein the second predetermined area room source information includes information of at least one of: house position information, house self characteristic information, cell facility information, peripheral POI information, and traffic information.
Through the second recommendation module, a client drainage measure is established, reasonable position drainage is carried out (namely drainage is carried out from the first preset area to the second preset area), room source information which is the most in accordance with requirements in the drainage area or the cold area is provided for a client, and client loss is avoided. In an optional embodiment, the first obtaining module is further configured to calculate the service capability information of each service individual according to information of at least one of the following of each service individual: historical contract number, office card punching records and customer evaluation information.
In an optional embodiment, the apparatus further comprises: a seventh obtaining module, configured to obtain historical access information of the client; and the second matching module is used for matching the specified service individuals for the client according to the historical access information. Therefore, the problem that a plurality of service individuals inquire the same customer for many times is avoided, the customer is excessively disturbed, and the communication efficiency of the two parties is improved.
The premises recommendation device in this embodiment is presented in the form of a functional unit, where the unit refers to an ASIC circuit, a processor and memory executing one or more software or fixed programs, and/or other devices that may provide the above-described functionality.
Further functional descriptions of the modules are the same as those of the corresponding embodiments, and are not repeated herein.
An embodiment of the present invention further provides a terminal, which has the room source recommendation processing apparatus shown in fig. 3.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a terminal according to an alternative embodiment of the present invention, and as shown in fig. 4, the terminal may include: at least one processor 401, such as a CPU (Central Processing Unit), at least one communication interface 403, memory 404, and at least one communication bus 402. Wherein a communication bus 402 is used to enable connective communication between these components. The communication interface 403 may include a Display (Display) and a Keyboard (Keyboard), and the optional communication interface 403 may also include a standard wired interface and a standard wireless interface. The Memory 404 may be a high-speed RAM Memory (volatile Random Access Memory) or a non-volatile Memory (non-volatile Memory), such as at least one disk Memory. The memory 404 may optionally be at least one memory device located remotely from the processor 401. Wherein the processor 401 may be combined with the apparatus described in fig. 3, the memory 404 stores an application program, and the processor 401 calls the program code stored in the memory 404 for executing the steps of any of the above-mentioned methods for processing a house source recommendation.
The communication bus 402 may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The communication bus 402 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
The memory 404 may include a volatile memory (RAM), such as a random-access memory (RAM); the memory may also include a non-volatile memory (english: non-volatile memory), such as a flash memory (english: flash memory), a hard disk (english: hard disk drive, abbreviation: HDD), or a solid-state drive (english: SSD); the memory 404 may also comprise a combination of memories of the kind described above.
The processor 401 may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP.
The processor 401 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit (ASIC), a Programmable Logic Device (PLD), or a combination thereof. The aforementioned PLD may be a Complex Programmable Logic Device (CPLD), a field-programmable gate array (FPGA), a General Array Logic (GAL), or any combination thereof.
Optionally, the memory 404 is also used to store program instructions. The processor 401 may call program instructions to implement the room source recommendation processing method as shown in the embodiments of fig. 1 and 2 of the present application.
The embodiment of the invention also provides a non-transitory computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the room source recommendation processing method in any method embodiment. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a Flash Memory (Flash Memory), a Hard disk (Hard disk Drive, abbreviated as HDD), a Solid State Drive (SSD), or the like; the storage medium may also comprise a combination of memories of the kind described above.
Although the embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations fall within the scope defined by the appended claims.
Claims (12)
1. A house source recommendation processing method is characterized by comprising the following steps:
acquiring service capability information of each service individual of a house intermediary organization;
acquiring service area information of each service individual;
acquiring the working time information of each service individual; wherein the working time information comprises time for planning introduction of the house source;
acquiring reserved house-viewing time and target house position of a client;
and matching the client with the specified service individuals for recommending house sources according to the reserved house-viewing time and the target house position of the client, the service capacity information of each service individual, the service area information of each service individual and the working time information of each service individual.
2. The house source recommendation processing method according to claim 1, wherein after matching the client with the designated service individual for recommending house sources, the method further comprises:
acquiring the house source demand information of the client according to the historical click and/or search and/or house source collection information of the client;
acquiring house source information of a first predetermined area; wherein the first predetermined area house source information comprises information of at least one of: house position information, house self characteristic information, community facility information, peripheral POI information and traffic information;
and screening the house sources in the house source information of the first predetermined area according to the house source demand information of the client, and determining a first specified house source recommended for the client.
3. The house source recommendation processing method according to claim 2, wherein after matching the specified service individual for recommending house sources for the client, the method further comprises:
if the house source demand information of the client is not in the range of the house source information of the first predetermined area, screening the house source in the house source information of the second predetermined area according to the house source demand information of the client, and determining a second specified house source recommended for the client; wherein the second predetermined area room source information includes information of at least one of: house position information, house self characteristic information, cell facility information, peripheral POI information, and traffic information.
4. The house source recommendation processing method of claim 1, wherein the obtaining of the service capability information of each service individual of the house intermediary comprises:
calculating the service capability information of each service individual according to at least one of the following information of each service individual:
historical contract number, office card punching records and customer evaluation information.
5. The house source recommendation processing method according to any one of claims 1 to 4, wherein matching the client with a specific service individual for recommending house sources further comprises:
acquiring historical access information of the client;
and matching the client with a specified service individual according to the historical access information.
6. A house source recommendation processing apparatus, comprising:
the first acquisition module is used for acquiring the service capability information of each service individual of the house intermediary organization;
the second acquisition module is used for acquiring the service area information of each service individual;
the third acquisition module is used for acquiring the working time information of each service individual; wherein the working time information comprises time for planning introduction of the house source;
the fourth acquisition module is used for acquiring the reserved house-viewing time and the target house position of the client;
and the first matching module is used for matching the client with the specified service individuals for recommending the house source according to the reserved house-viewing time and the target house position of the client, the service capacity information of each service individual, the service area information of each service individual and the working time information of each service individual.
7. The house source recommendation processing device of claim 6, further comprising:
the fifth acquisition module is used for acquiring the house source demand information of the client according to the historical click and/or search and/or house source collection information of the client;
the sixth acquisition module is used for acquiring the house source information of the first predetermined area; wherein the first predetermined area house source information comprises information of at least one of: house position information, house self characteristic information, community facility information, peripheral POI information and traffic information;
and the first recommending module is used for screening the house resources in the house resource information of the first predetermined area according to the house resource demand information of the client and determining the first specified house resource recommended by the client.
8. The house source recommendation processing device of claim 7, further comprising:
the second recommending module is used for screening the house resources in the house resource information of a second predetermined area according to the house resource demand information of the client if the house resource demand information of the client is not in the house resource information range of the first predetermined area, and determining a second specified house resource recommended by the client; wherein the second predetermined area room source information includes information of at least one of: house position information, house self characteristic information, cell facility information, peripheral POI information, and traffic information.
9. The house source recommendation processing device according to claim 6, wherein the first obtaining module is further configured to calculate the service capability information of each service individual according to at least one of the following information of each service individual:
historical contract number, office card punching records and customer evaluation information.
10. The house source recommendation processing device according to any one of claims 6 to 9, further comprising:
a seventh obtaining module, configured to obtain historical access information of the client;
and the second matching module is used for matching the client with the specified service individual according to the historical access information.
11. A terminal, comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method of any of claims 1-5.
12. A computer-readable storage medium having stored thereon computer instructions, wherein the instructions, when executed by a processor, implement the method of any of the preceding claims 1-5.
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