CN111639988B - Broker recommendation method, device, electronic equipment and storage medium - Google Patents
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Abstract
The application provides a broker recommendation method, a broker recommendation device, an electronic device and a storage medium, wherein the method comprises the following steps: acquiring behavior information and attribute information of a user browsing a house source; acquiring house source attribute preference information of the user based on the behavior information and attribute information of the user browsing the house source; acquiring attribute information of a house source seen by a broker; evaluating the belt seeing capability of the broker for the user based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user and the attribute information of the house sources seen by the broker belt; and recommending the broker with the largest visibility value for the user. The method can improve the accuracy of recommending brokers and the user experience.
Description
Technical Field
The present invention relates to the field of information processing technologies, and in particular, to a broker recommendation method, a broker recommendation device, an electronic device, and a storage medium.
Background
After seeing a satisfactory house source on the house finding APP, the user typically contacts the recommended house broker to see the house source. In a real house-source zone viewing scenario, there are typically several phenomena:
after the user is dissatisfied with the house source of about taking the watch, hope that the broker can take the watch of other house sources;
the user can give up the follow-up tape to see the house source under the condition of unsatisfactory condition when the user is taken to see the house source for a plurality of times;
even if the user has the house sources of the cardiology instrument, the user still hopes that the broker can take a plurality of house sources and then make a decision;
under the condition, the accuracy of the broker recommendation is required to be improved, and the broker recommended to the user is guaranteed to have a house source and have the ability to watch the desired house source for the user, so that the belt watching yield is improved.
However, the current broker recommendation scheme only recommends brokers near house sources for users, and does not really combine and consider the house finding capability of the brokers and the house finding requirements of the users, so that the house sources watched by the brokers are low in similarity with the house sources expected by the users, the users are difficult to be satisfied, and sometimes even the phenomenon that the users have to select other brokers to watch the brokers occurs.
Disclosure of Invention
In view of the above, the present application provides a broker recommendation method, apparatus, electronic device, and storage medium, which can improve accuracy of recommending brokers, and user experience.
In order to solve the technical problems, the technical scheme of the application is realized as follows:
in one embodiment, a broker recommendation method is provided, the method comprising:
acquiring behavior information and attribute information of a user browsing a house source;
acquiring house source attribute preference information of the user based on the behavior information and attribute information of the user browsing the house source;
acquiring attribute information of a house source seen by a broker;
evaluating the belt seeing capability of the broker for the user based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user and the attribute information of the house sources seen by the broker belt;
and recommending the broker with the largest visibility value for the user.
Wherein,
the behavior information of the user browsing the house source comprises any combination of the following information:
searching information, forwarding information, storage information, click information and page stay time information;
the attribute information of the user browsing the house source comprises any combination of the following information:
regional information, price information, area information, house type information, orientation information, floor information, age information, decoration information, elevator information, heating information, right information, type information, house source characteristic information.
Wherein the evaluating the belt seeing capability of the broker for the user based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user, and the attribute information of the house sources seen by the broker belt comprises:
evaluating the belt seeing capability of the broker for the user according to the following formula based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user and the attribute information of the house sources seen by the broker belt:
wherein v is t A zone visibility value representing Broker t; m is the number of attribute information, d j Representing user preference values for the jth property of the house, dist (a j ，u j ) 2 Representing the similarity between property information of a source viewed by a user and a source viewed by a broker, a j Value vector for j-th attribute information browsed by user, u j A value vector representing the j-th attribute information that the broker has seen.
The acquiring the house source attribute preference information of the user based on the behavior information and the attribute information of the user browsing the house source comprises the following steps:
and acquiring the property preference information of the house source of the user according to the following formula based on the behavior information and the property information of the house source browsed by the user:
wherein d j Representing a preference value of a user for a j-th property of the house; m is the number of house source attributes, n is the number of user behaviors, and x ij Representing the number of views of the jth property by the ith action of the user,n user rows representing users for the jth property of a house sourceMean value of browsing times, < >>The expression is as follows:
where |x| is the modulus of matrix X.
Wherein the method further comprises:
recommending a broker for the user through a terminal when receiving a request of recommending the broker sent by the user through the terminal;
or, periodically recommending a broker for the user.
In another embodiment, there is provided a broker recommendation apparatus according to an embodiment of the present application, including: the device comprises a first acquisition unit, a second acquisition unit, a third acquisition unit, an evaluation unit and a recommendation unit;
the first acquisition unit is used for acquiring behavior information and attribute information of a user browsing a house source;
the second acquisition unit is used for acquiring the house source attribute preference information of the user based on the behavior information and the attribute information of the user browsing the house source acquired by the first acquisition unit;
the third acquisition unit is used for acquiring attribute information of the house source seen by the broker;
the evaluation unit is used for evaluating the zone view capability of the broker for the user based on the attribute information of the user browsing the house resources, the house resource attribute preference information of the user, and the attribute information of the house resources, which are acquired by the third acquisition unit, of the broker;
and the recommending unit is used for recommending the broker with the largest watching capacity value evaluated by the evaluating unit for the user.
Wherein,
the behavior information of the user browsing the house source comprises any combination of the following information:
searching information, forwarding information, storage information, click information and page stay time information;
the attribute information of the user browsing the house source comprises any combination of the following information:
regional information, price information, area information, house type information, orientation information, floor information, age information, decoration information, elevator information, heating information, right information, type information, house source characteristic information.
Wherein,
the evaluation unit is specifically configured to evaluate the zone view capability of the broker for the user according to the following formula, based on attribute information of a source of browsing by the user, attribute preference information of the source of browsing by the user, and attribute information of a source of viewing by the broker:wherein v is t A zone visibility value representing Broker t; m is the number of attribute information, d j Representing user preference values for the jth property of the house, dist (a j ，u j ) 2 Representing the similarity between property information of a source viewed by a user and a source viewed by a broker, a j Value vector for j-th attribute information browsed by user, u j A value vector representing the j-th attribute information that the broker has seen.
The second obtaining unit is specifically configured to obtain, based on behavior information and attribute information of browsing a room source by the user, room source attribute preference information of the user according to the following formula:wherein d j Representing a preference value of a user for a j-th property of the house; m is the number of house source attributes, n is the number of user behaviors, and x ij Representing the number of views of the ith behavior of the user on the jth property of the house +.>Mean value of browsing times of n user lines of user to jth house source attribute, +.>The expression is as follows: />Where |x| is the modulus of matrix X.
Wherein the apparatus further comprises: a receiving unit;
the receiving unit is used for receiving a request of recommending a broker sent by a user through a terminal;
the recommending unit is further used for recommending a broker for the user through the terminal when the receiving unit receives a request of recommending the broker sent by the user through the terminal; or, periodically recommending a broker for the user.
In another embodiment, an electronic device is provided that includes a memory, a processor, and a computer program stored on the memory and executable on the processor that when executed implements steps such as the broker recommendation method.
In another embodiment, a computer readable storage medium is provided, on which a computer program is stored which, when executed by a processor, implements the steps of the broker recommendation method.
As can be seen from the above technical solutions, in the above embodiments, by integrating behavior information and attribute information of browsing a house source by a user and attribute information of a house source watched by a broker, the broker's watching ability is evaluated for the user, so that a broker with the largest watching ability value is recommended for the user. According to the scheme, the accuracy of recommending brokers is improved, the cost and period of watching are reduced, and the user experience is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly described below, it being obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort to a person skilled in the art.
FIG. 1 is a schematic diagram of a broker recommendation flow in an embodiment of the present application;
FIG. 2 is a schematic diagram of a device applied to the above technology in an embodiment of the present application;
fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the technical solutions in the embodiments of the present application will be made clearly and completely with reference to the drawings in the embodiments of the present application, and it is apparent that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The terms "first," "second," "third," "fourth" and the like in the description and in the claims and in the above drawings, if any, are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented, for example, in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those elements but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The technical scheme of the invention is described in detail below by specific examples. The following embodiments may be combined with each other, and some embodiments may not be repeated for the same or similar concepts or processes.
The embodiment of the application provides a broker recommendation method, which is applied to a broker recommendation device and can be simply called a recommendation device.
The recommending device can be applied to a server of the APP house, can be deployed independently, and is not limited in the embodiment of the application.
The broker recommendation process is described in detail below in conjunction with the accompanying figures.
Referring to fig. 1, fig. 1 is a schematic diagram of a broker recommendation flow in an embodiment of the present application. The method comprises the following specific steps:
step 101, acquiring behavior information and attribute information of browsing a house source by a user.
According to the embodiment of the application, the current positioning information of the user can be acquired to acquire the urban area information of the user, or the destination information set by the user is acquired to determine the urban area information of the house to be searched by the user, then the house information in the urban area is automatically acquired from the system database, and meanwhile the behavior information of the user is automatically acquired.
The behavior information of the user browsing the house source may include any combination of the following, but is not limited to the following behavior information:
search information, forwarding information, save information, click information, and page dwell time information.
The method comprises the steps of searching information, recording the number of times of searching attribute information, wherein the searched attribute information is room type information, area information and price information;
forwarding information, recording attribute information of all attributes corresponding to forwarded house sources;
storing information, and recording attribute information of all attributes corresponding to the stored house sources;
click information, namely recording attribute information of a clicked house source, such as area information, house type information and price information;
and (5) page stay time information, and recording the duration of browsing attribute information.
The attribute information of the user browsing the house source may include any combination of the following information, but is not limited to the attribute information given below:
regional information, price information, area information, house type information, orientation information, floor information, age information, decoration information, elevator information, heating information, right information, type information, house source characteristic information.
The meaning of each property is given below, along with the specific quantification:
the regional information is such as a sea lake area, a sunward area and the like of Beijing; in specific implementation, a type value is set for each region in advance to quantify region information, such as setting a sea area to 2, setting a morning sun area to 5, and the like;
the price information refers to the expected price of a house marked by a house source, such as 500 (ten thousand);
the area information refers to the actual area of a house source, such as 100 (square meters) and the like;
the room type information refers to actual room types of a room source, such as a room-in-room, a two-room-in-room, and the like, and when the room type information is specifically implemented, a type value is preset for each room type to quantify the room type information, such as a room-in-room setting 1, a two-room-in-room setting 2, and a three-room-in-room setting 3.
The orientation information refers to the orientation of a house source, such as southward, southwest, northwest, and the like, and when the method is specifically implemented, an orientation value is set for each orientation in advance to quantify the orientation information, such as setting the southward to 1, setting the northwest to 2, and the like.
The floor information refers to the floor where the house source is located, namely, the number of concrete floors is required;
the building age information refers to the building age displayed by the house book of the house source, and the building age information can also be used for converting the time of building the house source with the current time, for example, the building age information can be 1998 or 22.
The decoration information refers to the decoration condition of a house source, such as fine decoration, simple package, blank and the like, and when the method is specifically implemented, a device value can be set for quantifying the decoration information, such as fine decoration 11, simple package 12, blank 13 and the like;
the elevator information refers to whether a house source has an elevator or not, and specific numerical values are respectively set for quantifying the elevator information, such as 1, 2, 1, 0 and the like;
the heating information refers to whether the house source has heating or not, and can be further subdivided, such as whether the heating is collective heating or self heating; different values are set according to different conditions, for example, no heating is 1, collective heating is 2, self heating is 3 and the like;
the rights information refers to whether the rights have ownership of the house source or not, and whether different values are respectively set for quantization is only needed;
the type information refers to ownership of the house source, such as a public house, a commodity house, a business and living dual-purpose house and the like, and different values are respectively set for quantization;
the house characteristic information refers to information with a characteristic of house, such as subway approaching, study area house, VR house watching and the like, and different values are set for quantification.
The attribute information of the user browsing the house sources can be represented by a matrix A, wherein rows in the matrix A represent a set of house sources, and each column corresponds to one attribute information of the house sources.
The behavior information of the user browsing the house source can be represented by a matrix X, each row of the matrix X represents a behavior, each column corresponds to one house source attribute, and each value in the matrix X represents the number of times the house source browsed by the user has the house source attribute information.
Taking the number m of house source attributes as 13 and the number n of user behaviors as 5 as an example:
e.g. row 1, column 4X of matrix X 14 Representing the number of searches for a house pattern by the user, row 3, column 9X of matrix X 39 The number of times the user holds the attribute information of the elevator in the house is indicated.
That is, if the browsed house source has attribute information, the specific content of the value corresponding to the attribute information is not concerned, for example, the attribute information of the area information is only required to have the item of the area attribute, and the area is not concerned.
And 102, acquiring house source attribute preference information of the user based on the behavior information and the attribute information of the user browsing the house source.
And acquiring the property preference information of the house source of the user according to the following formula based on the behavior information and the property information of the house source browsed by the user:
wherein d j Representing a preference value of a user for a j-th property of the house; m is the number of house source attributes, n is the number of user behaviors, and x ij Representing the number of views of the jth property by the ith action of the user,mean value of browsing times of n user lines of user to jth house source attribute, +.>The expression is as follows:
where |x| is the modulus of matrix X.
Step 103, obtaining attribute information of the house source seen by the broker.
In the embodiment of the application, a house source seen by a broker and attribute information corresponding to the house source are stored in a system;
here, the attribute information acquired for the broker and the attribute information acquired for the user are matched in name and number.
If the obtained attribute information of the user is a combination of the 13 attribute information, the attribute information obtained for the broker is also a combination of the 13 attribute information;
if the acquired attribute information of the user is area information, price information, area information, and house type information, the attribute information acquired for the broker is also area information, price information, area information, and house type information.
In specific implementation, attribute information of a house source watched by a broker can be recorded through information input by the broker, which broker belt watches which set of house source in the APP can be marked, and when the attribute information of the house source watched by the broker belt needs to be obtained, the house source marked by the broker is obtained, and then the corresponding house source information is obtained.
The attribute information of a broker belt looking at a house source may be represented using a matrix U, where each row represents one house source and each column corresponds to attribute information of one house source.
Step 104, evaluating the belt watching capability of the broker for the user based on the attribute information of the user browsing the house resources, the house resource attribute preference information of the user and the attribute information of the house resources watched by the broker.
And obtaining the watching capability of the corresponding broker by determining the similarity between the attribute information of the browsed house source and the attribute information of the house source watched by the broker and then carrying out weighted summation on the preference information of the corresponding attribute information by the user.
Evaluating the belt seeing capability of the broker for the user according to the following formula based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user and the attribute information of the house sources seen by the broker belt:
wherein v is t A zone visibility value representing Broker t; m is the number of attribute information, d j Representing user preference values for the jth property of the house, dist (a j ，u j ) 2 Representing the similarity between property information of a source viewed by a user and a source viewed by a broker, a j Value vector for j-th attribute information browsed by user, u j A value vector representing the j-th attribute information that the broker has seen.
Pair a j And u j The similarity algorithm used in the similarity calculation is not limitedSuch as euclidean distance, cosine similarity algorithms, etc.
Step 105, recommending the broker with the largest visibility value for the user.
In specific implementation, the broker with the largest seeing capacity value can be recommended to the user, whether the broker with the largest seeing capacity value is convenient to serve the user in actual situations can also be considered, if not, the broker with the second largest seeing capacity value can be selected again for recommendation, and the method is similar, and the most suitable broker is recommended to the user.
In the embodiment of the application, two situations may be used for recommending the broker to the user to trigger the recommendation of the broker, or the following two situations may be combined:
first kind: when receiving a request of recommending a broker sent by a user through a terminal, acquiring the broker with the largest watching capacity value for the user and recommending the broker;
second, a broker is periodically recommended to the user.
The recommendation mode can be short message recommendation, mail recommendation, weChat recommendation, house viewing APP recommendation and the like, or combination recommendation, and the specific implementation mode of the recommendation is not limited in the embodiment of the application.
According to the method and the device for recommending the brokers, the broker with the largest watching ability value can be periodically determined for the appointed user, the broker with the largest watching ability value can be directly recommended when the broker needs to be recommended, the related attribute information of the user and the broker can be acquired when the broker needs to be recommended, evaluation of the watching ability value of the broker is carried out, and the broker with the largest watching ability value is recommended to the user, so that limitation is not imposed.
According to the method and the device for evaluating the zone view capability of the brokers, the zone view capability of the brokers is evaluated for the users by integrating the behavior information and the attribute information of browsing the house resources of the users and the attribute information of the zone view of the house resources of the brokers, and then the brokers with the largest zone view capability values are recommended for the users. According to the scheme, the accuracy of recommending brokers is improved, the cost and period of watching are reduced, and the user experience is improved.
Based on the same inventive concept, the embodiment of the application also provides a broker recommendation device. Referring to fig. 1 and fig. 2, fig. 2 is a schematic view of a device structure to which the above technology is applied in an embodiment of the present application. The device comprises: a first acquisition unit 201, a second acquisition unit 202, a third acquisition unit 203, an evaluation unit 204, and a recommendation unit 205;
a first obtaining unit 201, configured to obtain behavior information and attribute information of a user browsing a house source;
a second obtaining unit 202, configured to obtain property preference information of a user based on property information and behavior information of the user browsing a property acquired by the first obtaining unit 201;
a third obtaining unit 203, configured to obtain attribute information of a house source that the broker has seen;
an evaluation unit 204, configured to evaluate a zone view capability of a broker for a user based on attribute information of the user browsing a house source acquired by the first acquisition unit 201, house source attribute preference information of the user acquired by the second acquisition unit 202, and attribute information of a house source that the broker has seen acquired by the third acquisition unit 203;
and a recommending unit 205, configured to recommend, to the user, a broker with the largest visibility value evaluated by the evaluating unit 204.
Preferably, the method comprises the steps of,
the behavior information of the user browsing the house source comprises any combination of the following information:
searching information, forwarding information, storage information, click information and page stay time information;
the attribute information of the user browsing the house source comprises any combination of the following information:
regional information, price information, area information, house type information, orientation information, floor information, age information, decoration information, elevator information, heating information, right information, type information, house source characteristic information.
Preferably, the method comprises the steps of,
an evaluation unit 204, specifically configured to browse property information of a house source, property preference information of the house source of the user, and property information of the house source viewed by the broker based on the userThe broker evaluates the belt-see ability of the user according to the following formula:wherein v is t A zone visibility value representing Broker t; m is the number of attribute information, d j Representing user preference values for the jth property of the house, dist (a j ，u j ) 2 Representing the similarity between property information of a source viewed by a user and a source viewed by a broker, a j Value vector for j-th attribute information browsed by user, u j A value vector representing the j-th attribute information that the broker has seen.
Preferably, the second obtaining unit 202 is specifically configured to obtain, based on the behavior information and attribute information of the user browsing the house source, house source attribute preference information of the user according to the following formula:wherein d j Representing a preference value of a user for a j-th property of the house; m is the number of house source attributes, n is the number of user behaviors, and x ij Representing the number of views of the ith behavior of the user on the jth property of the house +.>Mean value of browsing times of n user lines of user to jth house source attribute, +.>The expression is as follows: />Where |x| is the modulus of matrix X.
Preferably, the apparatus further comprises: a receiving unit 206;
a receiving unit 206, configured to receive a request of recommending a broker sent by a user through a terminal;
a recommending unit 205, further configured to recommend a broker to the user through the terminal when the receiving unit 206 receives a request of recommending the broker sent by the user through the terminal; or, periodically recommending a broker for the user.
The units of the above embodiments may be integrated or may be separately deployed; can be combined into one unit or further split into a plurality of sub-units.
In another embodiment, there is also provided an electronic device including a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the broker recommendation method when executing the program.
In another embodiment, a computer readable storage medium having stored thereon computer instructions that when executed by a processor may implement steps in the broker recommendation method is also provided.
Fig. 3 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention. As shown in fig. 3, the electronic device may include: processor (Processor) 310, communication interface (Communications Interface) 320, memory (Memory) 330 and communication bus 340, wherein Processor 310, communication interface 320, memory 330 accomplish communication with each other through communication bus 340. The processor 310 may call logic instructions in the memory 330 to perform the following method:
acquiring behavior information and attribute information of a user browsing a house source;
acquiring house source attribute preference information of the user based on the behavior information and attribute information of the user browsing the house source;
acquiring attribute information of a house source seen by a broker;
evaluating the belt seeing capability of the broker for the user based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user and the attribute information of the house sources seen by the broker belt;
and recommending the broker with the largest visibility value for the user.
Further, the logic instructions in the memory 330 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on this understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The apparatus embodiments described above are merely illustrative, wherein the elements illustrated as separate elements may or may not be physically separate, and the elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather to enable any modification, equivalent replacement, improvement or the like to be made within the spirit and principles of the invention.
Claims (8)
1. A broker recommendation method, the method comprising:
acquiring behavior information and attribute information of a user browsing a house source;
acquiring house source attribute preference information of the user based on the behavior information and attribute information of the user browsing the house source;
acquiring attribute information of a house source seen by a broker;
evaluating the belt seeing capability of the broker for the user based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user and the attribute information of the house sources seen by the broker belt;
recommending a broker with the largest visibility value for the user;
the acquiring the house source attribute preference information of the user based on the behavior information and the attribute information of the user browsing the house source comprises the following steps:
and acquiring the property preference information of the house source of the user according to the following formula based on the behavior information and the property information of the house source browsed by the user:
wherein d j Representing a preference value of a user for a j-th property of the house; m is the number of house source attributes, n is the number of user behaviors, and x ij Representing the number of views of the jth property by the ith action of the user,mean value of browsing times of n user lines of user to jth house source attribute, +.>The expression is as follows:
wherein |x| is the modulus of matrix X; the matrix X represents behavior information of a user browsing a house source, each row of the matrix X represents a behavior, each column corresponds to a house source attribute, and each value in the matrix X represents the number of times that the house source browsed by the user has the house source attribute information.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the behavior information of the user browsing the house source comprises any combination of the following information:
searching information, forwarding information, storage information, click information and page stay time information;
the attribute information of the user browsing the house source comprises any combination of the following information:
regional information, price information, area information, house type information, orientation information, floor information, age information, decoration information, elevator information, heating information, right information, type information, house source characteristic information.
3. The method of claim 1, wherein the evaluating the broker's zone view capabilities for the user based on the user's browsing property information of a source of room, the user's property preference information of a source of room, and property information of a source of room that the broker has seen, comprises:
evaluating the belt seeing capability of the broker for the user according to the following formula based on the attribute information of the user browsing the house sources, the house source attribute preference information of the user and the attribute information of the house sources seen by the broker belt:
wherein v is t A zone visibility value representing Broker t; m is the number of attribute information, d j Representing user preference values for the jth property of the house, dist (a j ,u j ) 2 Representing the similarity between property information of a source viewed by a user and a source viewed by a broker, a j Value vector for j-th attribute information browsed by user, u j A value vector representing the jth attribute information viewed by the broker;n is the number of user behaviors, x ij Representing the number of views of the ith behavior of the user on the jth property of the house +.>A mean value representing the number of browses of the j-th room source attribute by n user lines of the user,|x| is the modulus of matrix X; the matrix X represents behavior information of a user browsing a house source, each row of the matrix X represents a behavior, each column corresponds to a house source attribute, and each value in the matrix X represents the number of times that the house source browsed by the user has the house source attribute information.
4. A broker recommendation device, the device comprising: the device comprises a first acquisition unit, a second acquisition unit, a third acquisition unit, an evaluation unit and a recommendation unit;
the first acquisition unit is used for acquiring behavior information and attribute information of a user browsing a house source;
the second acquisition unit is used for acquiring the house source attribute preference information of the user based on the behavior information and the attribute information of the user browsing the house source acquired by the first acquisition unit;
the third acquisition unit is used for acquiring attribute information of the house source seen by the broker;
the evaluation unit is used for evaluating the zone view capability of the broker for the user based on the attribute information of the user browsing the house resources, the house resource attribute preference information of the user, and the attribute information of the house resources, which are acquired by the third acquisition unit, of the broker;
the recommending unit is used for recommending the broker with the largest watching capacity value evaluated by the evaluating unit to the user;
wherein,
the second obtaining unit is specifically configured to obtain, based on behavior information and attribute information of browsing a house source by the user, house source attribute preference information of the user according to the following formula:wherein d j Representing a preference value of a user for a j-th property of the house; m is the number of house source attributes, n is the number of user behaviors, x is the browsing times of the ith behavior of the user to the jth house source attribute, < ->Mean value of browsing times of n user lines of user to jth house source attribute, +.>The expression is as follows: />Wherein |x| is the modulus of matrix X; the matrix X represents behavior information of a user browsing a house source, each row of the matrix X represents a behavior, each column corresponds to a house source attribute, and each value in the matrix X represents the number of times that the house source browsed by the user has the house source attribute information.
5. The apparatus of claim 4, wherein the device comprises a plurality of sensors,
the behavior information of the user browsing the house source comprises any combination of the following information:
searching information, forwarding information, storage information, click information and page stay time information;
the attribute information of the user browsing the house source comprises any combination of the following information:
regional information, price information, area information, house type information, orientation information, floor information, age information, decoration information, elevator information, heating information, right information, type information, house source characteristic information.
6. The apparatus of claim 4, wherein the device comprises a plurality of sensors,
the evaluation unit is specifically configured to evaluate the zone view capability of the broker for the user according to the following formula, based on attribute information of a source of browsing by the user, attribute preference information of the source of browsing by the user, and attribute information of a source of viewing by the broker:wherein v is t A zone visibility value representing Broker t; m is the number of attribute information, d j Representing user preference values for the jth property of the house, dist (a j ,u j ) 2 Representing the similarity between property information of a source viewed by a user and a source viewed by a broker, a j Value vector for j-th attribute information browsed by user, u j A value vector representing the jth attribute information viewed by the broker; />n is the number of user behaviors, x ij Representing the number of views of the ith behavior of the user on the jth property of the house +.>Mean value of browsing times of n user lines of user to jth house source attribute, +.>|x| is the modulus of matrix X; the matrix X represents behavior information of a user browsing a house source, each row of the matrix X represents a behavior, each column corresponds to a house source attribute, and each value in the matrix X represents the number of times that the house source browsed by the user has the house source attribute information.
7. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of any of claims 1-3 when the program is executed by the processor.
8. A computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the method of any of claims 1-3.
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| CN112561269A (en) * | 2020-12-07 | 2021-03-26 | 深圳市思为软件技术有限公司 | Advisor recommendation method and device |
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