CN111242724A - Object pushing method and device - Google Patents
Object pushing method and device Download PDFInfo
- Publication number
- CN111242724A CN111242724A CN202010010142.1A CN202010010142A CN111242724A CN 111242724 A CN111242724 A CN 111242724A CN 202010010142 A CN202010010142 A CN 202010010142A CN 111242724 A CN111242724 A CN 111242724A
- Authority
- CN
- China
- Prior art keywords
- user
- objects
- house source
- source information
- preset database
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000012549 training Methods 0.000 claims description 19
- 238000012545 processing Methods 0.000 claims description 13
- 230000014759 maintenance of location Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 19
- 230000006399 behavior Effects 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 230000003287 optical effect Effects 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000000644 propagated effect Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/16—Real estate
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Marketing (AREA)
- Development Economics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Human Resources & Organizations (AREA)
- Primary Health Care (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The embodiment of the disclosure provides an object pushing method and device, and the method comprises the following steps: acquiring at least one first object browsed by a first user in a historical period; based on the at least one first object, performing object search in a first preset database to obtain a first object set, wherein the first preset database comprises a plurality of reference objects and associated objects corresponding to each reference object; based on the first set of objects, determining a target object to push to the first user. According to the scheme of the embodiment of the disclosure, the object which the user is interested in can be obtained without the user performing click operation, and the user stickiness and the user retention are favorably improved.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of internet, in particular to an object pushing method and device.
Background
At present, various kinds of information are displayed on various platforms, and when a user desires to acquire desired information, the user generally enters each platform to input search conditions for searching to achieve effective acquisition.
For example, when a user wants to buy a house, the user wants to obtain the house source information, and the user can obtain the corresponding house source information by browsing the interested house source on the website or the corresponding APP. According to the scheme, the user needs to actively click and browse the house source every time to acquire corresponding information, and the operation is troublesome.
Disclosure of Invention
The embodiment of the disclosure provides an object pushing method and device, which are used for solving the problem that the existing scheme is troublesome to operate.
In a first aspect, an embodiment of the present disclosure provides an object pushing method, including:
acquiring at least one first object browsed by a first user in a historical period;
based on the at least one first object, performing object search in a first preset database to obtain a first object set, wherein the first preset database comprises a plurality of reference objects and associated objects corresponding to each reference object;
based on the first set of objects, determining a target object to push to the first user.
In one possible implementation manner, the similarity between the reference object and the associated object corresponding to the reference object is greater than or equal to a first threshold; or the like, or, alternatively,
a distance between the object position of the reference object and an object position in an associated object to which the reference object corresponds is less than or equal to a second threshold.
In a possible implementation manner, performing an object search in a first preset database based on the at least one first object to obtain a first object set includes:
for each first object, performing object search in the first preset database based on the first object to obtain a second object set corresponding to the first object, wherein the second object set comprises the first object and an associated object of the first object;
and obtaining the first object set based on the second object set corresponding to each first object.
In a possible implementation manner, obtaining the first object set based on the second object set corresponding to each first object includes:
and merging the associated objects in the second object set corresponding to each first object to obtain the first object set.
In one possible implementation, obtaining at least one first object browsed by a first user during a historical period includes:
acquiring a user identifier of the first user;
and acquiring at least one first object browsed by the first user in the historical period in a second preset database based on the user identifier of the first user, wherein the second preset database comprises a plurality of user identifiers and objects browsed by the user in the historical period corresponding to each user identifier.
In one possible implementation, the method further includes:
and determining the historical time period based on the current time, wherein the historical time period is a time period of which the time difference with the current time is less than a preset value.
In one possible implementation, determining a target object to be pushed to the first user based on the first set of objects includes:
inputting the objects in the first object set into a preset model, and determining a target object pushed to the first user based on the output of the preset model, wherein the preset model is obtained by training according to multiple groups of training samples, and each group of training samples comprises multiple sample objects and corresponding target sample objects.
In a second aspect, an embodiment of the present disclosure provides an object pushing apparatus, including:
the acquisition module is used for acquiring at least one first object browsed by a first user in a historical period;
the processing module is used for searching objects in a first preset database based on the at least one first object to obtain a first object set, wherein the first preset database comprises a plurality of reference objects and associated objects corresponding to the reference objects;
and the pushing module is used for determining a target object pushed to the first user based on the first object set.
In one possible implementation manner, the similarity between the reference object and the associated object corresponding to the reference object is greater than or equal to a first threshold; or the like, or, alternatively,
a distance between the object position of the reference object and an object position in an associated object to which the reference object corresponds is less than or equal to a second threshold.
In a possible implementation manner, the processing module is specifically configured to:
for each first object, performing object search in the first preset database based on the first object to obtain a second object set corresponding to the first object, wherein the second object set comprises the first object and an associated object of the first object;
and obtaining the first object set based on the second object set corresponding to each first object.
In a possible implementation manner, the processing module is specifically configured to:
and merging the associated objects in the second object set corresponding to each first object to obtain the first object set.
In a possible implementation manner, the obtaining module is specifically configured to:
acquiring a user identifier of the first user;
and acquiring at least one first object browsed by the first user in the historical period in a second preset database based on the user identifier of the first user, wherein the second preset database comprises a plurality of user identifiers and objects browsed by the user in the historical period corresponding to each user identifier.
In a possible implementation manner, the obtaining module is further configured to:
and determining the historical time period based on the current time, wherein the historical time period is a time period of which the time difference with the current time is less than a preset value.
In a possible implementation manner, the pushing module is specifically configured to:
inputting the objects in the first object set into a preset model, and determining a target object pushed to the first user based on the output of the preset model, wherein the preset model is obtained by training according to multiple groups of training samples, and each group of training samples comprises multiple sample objects and corresponding target sample objects.
In a third aspect, an embodiment of the present invention provides an electronic device, including: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the computer-executable instructions stored by the memory causes the at least one processor to perform the object pushing method of any one of the first aspects.
In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, where a computer executing instruction is stored, and when a processor executes the computer executing instruction, the object pushing method according to any one of the first aspect is implemented.
The object pushing method and device provided by the embodiment of the disclosure first obtain at least one first object browsed by a first user in a historical period, and then perform object search in a first preset database based on the at least one object to obtain a first object set, wherein the first preset database comprises a plurality of reference objects and associated objects corresponding to each reference object. Finally, a target object pushed to the first user is determined based on the first set of objects. According to the scheme of the embodiment of the disclosure, according to at least one first object browsed by a first user in a historical period, an object interested by the first user can be obtained, and then a first object set is obtained according to the first object, wherein the first object set comprises an associated object of the first object, and the associated object of the first object is an object having a certain association relationship with the first object. And determining an associated object in the first object set as a target object to be pushed to the first user, wherein the first user is interested in the first object, so that the first user has a high probability of being interested in the associated object having an association relationship with the first object. According to the scheme, the object which the user is interested in can be obtained without the user actively executing clicking operation, the pushed target object is obtained according to the first object browsed by the first user in the historical time period, the first user is high in possibility of being interested in the target object, and the user stickiness and user retention are favorably improved.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present disclosure, and for those skilled in the art, other drawings can be obtained according to the drawings without inventive exercise.
Fig. 1 is a schematic view of an application scenario of an object pushing method according to an embodiment of the present disclosure;
fig. 2 is a schematic flowchart of an object pushing method according to an embodiment of the present disclosure;
fig. 3 is a first schematic diagram illustrating establishment of a first preset database according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating establishment of a first preset database according to an embodiment of the present disclosure;
fig. 5 is a schematic flowchart of an object pushing method according to another embodiment of the disclosure;
fig. 6 is a schematic view illustrating browsing of house source information provided by the embodiment of the present disclosure;
fig. 7 is a schematic diagram of a second set of objects provided by an embodiment of the present disclosure;
FIG. 8 is a schematic diagram of a first set of object determination provided by an embodiment of the present disclosure;
fig. 9 is a schematic diagram of pushing a target object provided by an embodiment of the present disclosure;
fig. 10 is a schematic structural diagram of an object pushing apparatus according to an embodiment of the present disclosure;
fig. 11 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure.
Detailed Description
To make the objects, technical solutions and advantages of the embodiments of the present disclosure more clear, the technical solutions of the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the described embodiments are some, but not all embodiments of the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
Fig. 1 is a schematic view of an application scenario of an object pushing method provided in an embodiment of the present disclosure, as shown in fig. 1, including a server 11 and a terminal device 12, where the server 11 and the terminal device 12 are connected through a wireless network. The user may browse one or more objects through the terminal device 12, specifically, the terminal device 12 may display a plurality of objects, and after finding an object of interest, the user clicks on the terminal device 12 to view specific information of the object of interest.
For example, when browsing the house source information, the user may view the house source information through the house source APP on the terminal device 12, where each house source information is an object. As shown in fig. 1, 4 house source information are exemplified in the terminal device 12, wherein the user is interested in the second house source information of the 4 house source information, and the user can click the corresponding position on the screen of the terminal device 12. After clicking the interested house source information, the house source information can be browsed, and for example, various attribute information of a house corresponding to the house source information, including a city, a position, an area, a house type and the like, can be obtained.
The user can browse different objects in different time periods, after the server 11 obtains browsing behaviors of the user in a historical time period in the background, a target object is determined according to at least one first object browsed by the user, for example, the house source information which is interested by the user is recommended to the user, the house source information appears on the terminal device 12, and the house source information is obtained by actively pushing the terminal device 12 to the user without actively clicking by the user.
It should be noted that the application scenario shown in fig. 1 is only an example, the object pushing method provided in the embodiment of the present disclosure may also be applied to many other scenarios, for example, besides being applied to house source information recommendation, the object pushing method may also be applied to advertisement information pushing, commodity information pushing, and the like, and the apparatus for performing the operation step may be the terminal device illustrated in fig. 1, and may also be other possible electronic devices, which are not all examples of the embodiment of the present disclosure.
Hereinafter, the technical means shown in the present disclosure will be described in detail by specific examples. It should be noted that the following embodiments may be combined with each other, and the description of the same or similar contents in different embodiments is not repeated.
Fig. 2 is a schematic flowchart of an object pushing method provided in the embodiment of the present disclosure, and as shown in fig. 2, the method may include:
s21, at least one first object browsed by the first user in the historical period is obtained.
The history period is a time period between current times and is a period before object pushing is performed to the first user. The first objects viewed by the users in different history periods may be different, as may the first objects viewed by different users in the same history period.
The first user is one of a plurality of users, and the pushed target object is also pushed for the first user. In the embodiment of the disclosure, different users can be distinguished by different IDs, the first user is determined by the IDs, and the first object browsed by the first user in the history period is acquired. The ID may be, for example, an ID of a terminal device used by the user, and the first user is determined according to the ID of the terminal device; the ID may also be, for example, an account ID registered by the user in the background, and login is performed according to the registered account ID, thereby determining the first user.
Taking house source information push as an example, a first user can register and log in on a house source APP, then check the house source information on the house source APP, and click on terminal equipment after finding the interested house source information to browse the interested house source information. For example, a first user sees 4 house source information on a house source APP, which are house source information a, house source information B, house source information C and house source information D, where the house source information C is a house source that the first user is interested in, and at this time, the first user may perform a click operation to browse specific information of the house source information C. After browsing the house source information C, the house source information C becomes a first object that the first user browses in the history period.
The first object is an object that the first user browses during the history period and is an object of interest to the first user. Each object has corresponding attribute information, and after the server acquires at least one first object, the server can also acquire the attribute information of the first object, so that the object interested by the first user can be acquired, and the object push is performed according to the object interested by the first user.
S22, based on the at least one first object, performing object search in a first preset database to obtain a first object set, where the first preset database includes a plurality of reference objects and associated objects corresponding to each reference object.
After the at least one first object is obtained, object searching is carried out in a first preset database based on the at least one first object, and a first object set is obtained. The first preset database in the embodiment of the present disclosure includes a plurality of reference objects and associated objects corresponding to each reference object. Different reference objects and corresponding associated objects are also different.
The related object corresponding to the reference object refers to an object having a certain related relationship with the reference object, the related relationship may be, for example, that the similarity between the reference object and some attribute information of the related object is high and exceeds a certain threshold, the related relationship may also be, for example, that some attribute information or characteristics of the reference object and the related object satisfy a certain preset condition, and the like.
For example, when the reference object is the house source information a, the associated object may be house source information of a house whose distance from the house corresponding to the house source information a is within a certain value range, and the association relationship is that the indicated positions of the reference object and the associated object satisfy a certain condition, that is, the distance between the indicated position of the reference object and the indicated position of the associated object is less than a certain value. For example, the related object may also be house source information of houses of the same house type in the same area and the same area as the house corresponding to the house source information a, and the relevance relationship is that the similarity between the reference object and some attribute information of the related object is high.
In the embodiment of the present disclosure, there may be a plurality of first objects, each first object has a corresponding associated object, and a first object set is obtained according to the plurality of associated objects.
S23, determining a target object pushed to the first user based on the first object set.
After the first object set is obtained, a target object pushed to the first user is determined according to the first object set, wherein the target object is one of a plurality of associated objects in the first object set. In the embodiment of the present disclosure, the pushing of the object is completed without a click operation actively performed by the user, that is, the object pushing is actively initiated to the user. In order to prevent excessive disturbance to the user, the frequency of push cannot be too high, so within a limited number of pushes, it is necessary to find the object of most interest to the first user for push.
In the embodiment of the disclosure, a first object set is obtained by searching in a first preset database according to a first object, where the first object set includes an associated object of the first object, and the associated object of the first object is an object having a certain association relationship with the first object, so that when a first user is interested in the first object, a probability that the first user is interested in the associated object of the first object is higher. Then, one of the plurality of associated objects included in the first object set is determined as a target object to be pushed to the first user.
The object pushing method provided by the embodiment of the disclosure includes the steps of firstly obtaining at least one first object browsed by a first user in a historical period, and then searching for an object in a first preset database based on the at least one object to obtain a first object set, wherein the first preset database includes a plurality of reference objects and associated objects corresponding to the reference objects. Finally, a target object pushed to the first user is determined based on the first set of objects. According to the scheme of the embodiment of the disclosure, according to at least one first object browsed by a first user in a historical period, an object interested by the first user can be obtained, and then a first object set is obtained according to the first object, wherein the first object set comprises an associated object of the first object, and the associated object of the first object is an object having a certain association relationship with the first object. And determining an associated object in the first object set as a target object to be pushed to the first user, wherein the first user is interested in the first object, so that the first user has a high probability of being interested in the associated object having an association relationship with the first object. According to the scheme, the object which the user is interested in can be obtained without the user actively executing clicking operation, the pushed target object is obtained according to the first object browsed by the first user in the historical time period, the first user is high in possibility of being interested in the target object, and the user stickiness and user retention are favorably improved.
On the basis of the above-described embodiments, the technical solutions of the present disclosure will be described in detail below with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
Before determining to push a target object to a first user, object search needs to be performed in a first preset database according to a first object, wherein the first preset database includes a plurality of reference objects and associated objects corresponding to each reference object. Before searching for the object in the first preset database according to the first object, the first preset database is also required to be established. The establishment of the first preset database will be described below with reference to fig. 3 and 4.
Optionally, the first preset database includes a plurality of reference objects and associated objects corresponding to each reference object, and a similarity between a reference object and an associated object corresponding to the reference object is greater than or equal to a first threshold.
Fig. 3 is a schematic diagram illustrating establishment of a first preset database provided in the embodiment of the present disclosure, as shown in fig. 3, taking an object as house source information as an example, 7 house source information are illustrated in fig. 3, which are house source information a, house source information B, house source information C, house source information D, house source information E, house source information F, and house source information G, respectively.
In fig. 3, each house source information is used for providing each item of information of the corresponding house source, and may include, for example, information of a city where the house source is located, a location of an area where the house source is located, an area, a house type, a business district, and the like. Fig. 3 illustrates various information of 7 house sources corresponding to 7 house source information, and in the embodiment of the present disclosure, a city, a business district, and a house area in the house source information are taken as examples for explanation.
In the embodiment of the disclosure, corresponding proportion weights or corresponding scores can be set for the city, the business district and the house area in the house source information. For example, when the cities in the two house source information are the same, the similarity scores of the two house source information are accumulated for 3 points, when the business circles in the two house source information are the same, the similarity scores of the two house source information are accumulated for 3 points, when the difference between the house areas in the two house source information is less than 15 square meters, the similarity scores of the two house source information are accumulated for 2 points, and the like.
Then, a similarity score between each house source information and the other house source information is calculated. And aiming at any one house source information, taking the house source information with the similarity score exceeding a certain value with the house source information as the house source information with a certain incidence relation with the house source information. At this time, if the room source information is the first object, the room source information having a certain association relationship with the room source information is an associated object of the first object, and the similarity between the first object and the associated object of the first object is greater than or equal to the first threshold.
Through the above manner, the associated object corresponding to each reference object is determined, and then the first object set can be obtained according to the associated object corresponding to each reference object, and in the first object set, according to any one reference object, the associated object of the reference object can be known, that is, the reference object and the corresponding associated object have a corresponding relationship.
As shown in fig. 3, taking the related object of the house source information a as an example, the city where the house source information a is located is beijing, the business district where the house source information a is located is business district a, and the area of the house is 90 flat. The city where the house source information B is located is also Beijing, the business circle is also the business circle A, and the similarity score between the house source information B and the house source information A is 6 points at the moment; the city of the house source information C is also Beijing, the house area is 90 flat, and the similarity score between the house source information C and the house source information A is 6 points; the city of the house source information D is also Beijing, the business circle is also the business circle A, the area of the house is 100 flat, and the similarity score between the house source information D and the house source information A is 8 points; the city of the house source information E is also Beijing, the house area is 90 level, and the similarity score between the house source information E and the house source information A is 6 points; the city of the house source information F is also Beijing, and the similarity score between the house source information F and the house source information A is 3 points at the moment; the city where the house source information G is located, the business district where the house source information G is located are different from the house source information A, the difference of the house area exceeds 15 degrees, and the similarity score of the house source information G and the house source information A is 0.
Through the above calculation, a similarity score between the house source information a and other house source information is obtained, and then the similarity score is compared with the first threshold value. For example, in fig. 3, the first threshold is set to 5 points, and when the similarity score exceeds 5 points, the similarity between two house source information is considered to be high, as shown in fig. 3, according to the similarity score, the associated objects of the house source information a, namely, the house source information B, the house source information C, the house source information D and the house source information E, can be obtained, and according to the house source information a and the associated objects thereof, the set 31 is obtained.
By the above method, the house source information a and the corresponding set 31 thereof can be obtained, and the set 31 is the related object of the house source information a. For each reference object, the corresponding associated object can be determined in the above manner, and then the first preset database can be obtained according to each reference object and the corresponding associated object.
Optionally, the first preset database includes a plurality of reference objects and associated objects corresponding to each reference object, and a distance between an object position of a reference object and an object position in an associated object corresponding to the reference object is less than or equal to a second threshold.
Fig. 4 is a schematic diagram illustrating establishment of a first preset database according to an embodiment of the present disclosure, as shown in fig. 4, taking an object as house source information as an example, 8 house source information are illustrated in fig. 4, which are house source information a, house source information B, house source information C, house source information D, house source information E, house source information F, house source information G, and house source information H, respectively.
In the embodiment of the disclosure, the related objects of the objects are mainly referred according to the house source positions in the house source information. And for any one house source information, obtaining the distance between the house source in the house source information and the house source in other house source information according to the house source position in the house source information and the house source position in other house source information. And when the distance between the two house sources is smaller than or equal to a second threshold value, determining that the two house source information are mutually related objects. The second threshold is a threshold set in advance, and may be set according to actual needs, and this is not particularly limited in the embodiment of the present disclosure.
As shown in fig. 4, the second threshold is set to be 3km, and the distance between the house sources corresponding to any two house source information is shown in fig. 4. Taking the house source information a as a reference object as an example, in fig. 4, distances between the house source of the house source information a and the house sources of the house source information C, the house source information D, the house source information G, and the house source information H are less than 3km, so the house source information C, the house source information D, the house source information G, and the house source information H are associated objects of the house source information a. The distance between the house source of the house source information A and the house source of the house source information B, the house source information E and the house source information F is more than 3km, so the house source information B, the house source information E and the house source information F are not the related objects of the house source information A.
By the above method, the house source information a and the corresponding set 41 thereof can be obtained, and the set 41 is the related object of the house source information a. For each reference object, the corresponding associated object can be determined in the above manner, and then the first preset database can be obtained according to each reference object and the corresponding associated object.
The establishment of the first preset database is exemplified in the embodiment shown in fig. 3 and 4, and the solution of the present disclosure will be specifically described with reference to fig. 5.
Fig. 5 is a schematic flowchart of an object pushing method according to another embodiment of the present disclosure, as shown in fig. 5, including:
and S51, acquiring the user identification of the first user.
In the embodiment of the present disclosure, personalized target objects are pushed to different users, so that a user identifier of a first user needs to be obtained, where the user identifier is used for distinguishing different users, and the user identifiers of different users are different. For example, when a user acquires an object using a terminal device, each terminal device has a corresponding device ID, and a unique terminal device can be determined according to the device ID.
The user ID may be a device ID or a user ID, for example, a user registers on the platform, the platform assigns a different user ID to each registered user, and the user can be uniquely determined according to the user ID.
Meanwhile, the user ID and the equipment ID can also be associated, after the user changes the used terminal equipment, the user and the new terminal equipment used by the user can be determined according to the user ID, so that the user ID and the previous equipment ID can be unbound, and the user ID and the equipment ID of the new terminal equipment used by the user are associated, so that the problem of information loss caused by the fact that the user changes the terminal equipment can be avoided.
S52, based on the user identifier of the first user, obtaining at least one first object browsed by the first user in the historical time period in a second preset database, where the second preset database includes a plurality of user identifiers and objects browsed by the user in the historical time period corresponding to each user identifier.
The second preset database is a database which is composed of objects browsed by the user in the historical period and corresponding to the user identifications. Before at least one first object browsed by a first user in a historical period is acquired in a second preset database, the second preset database needs to be established.
In the embodiment of the disclosure, after the browsing click behavior of the user on the preset platform is acquired, one or more objects browsed by the user on the preset platform are acquired, the browsing time corresponding to the object browsed by the user is acquired, and then the user identifier of the user and the objects browsed by the user are added to the second preset database. Therefore, the second preset database includes the objects browsed by the first user at various times, and at least one first object browsed by the first user in a historical period can be extracted from the second preset database according to the user identifier of the first user.
Before the first object is acquired, the history period needs to be determined first, and optionally, the history period may be determined based on the current time, where the history period is a period in which a time difference with the current time is smaller than a preset value. For example, if the preset value is 10 days, the historical period may be a period within 10 days before the current time and a period more than 10 days before the current time with reference to the current time as the historical period. By means of the arrangement, the first object clicked by the first user in a too early time period can be filtered out, and the first object clicked by the first user in a near future can be acquired, so that the first user is more likely to be interested in the acquired objects in the first object set.
Taking personalized house source pushing as an example, the personalized house source pushing mainly comprises two parts, namely an offline part and an online part. The method comprises the steps of collecting click behaviors of users and establishing house source inverted information.
Aiming at the collection of the clicking behaviors of the user, the server records the first object each time the user clicks and browses the first object. Then, the server records the object identification of the first object, constitutes the clicking behavior of the user, and stores the object identification in a second preset database with the user ID as the main key.
Fig. 6 is a schematic view illustrating browsing of house source information provided by the embodiment of the present disclosure, as shown in fig. 6, a user wants to buy a house in the near future, and thus, multiple browsing clicks of the house source information are performed through a mobile phone. Before 15 days, the house source information A is browsed by a first browsing click through a house source APP. And browsing the house source information B by browsing and clicking for the second time through the house source APP 3 days ago.
And the server acquires the two browsing click behaviors of the user, records the browsing click behaviors, and stores the browsing click behaviors in a second preset database related to the user ID.
As described above, the second preset database includes the browsing time when each first object is browsed, in addition to the browsed first object. Based on the current time, a history period can be determined, wherein the history period is a period of time having a time difference with the current time smaller than a preset value. For example, in the example of fig. 5, the history period is a period having a time difference less than 10 days from the current time, the house source information a browsed 15 days ago is not the first object browsed by the first user in the history period, and the house source information B browsed 3 days ago is the first object browsed by the first user in the history period.
S53, for each first object, performing object search in the first preset database based on the first object to obtain a second object set corresponding to the first object, where the second object set includes the first object and an associated object of the first object.
S53 is a step of establishing room source inverted information, where a similarity between the first object and an associated object corresponding to the first object is greater than or equal to a first threshold, or a distance between an object position of the first object and an object position in the associated object corresponding to the first object is less than or equal to a second threshold.
Taking personalized house source information push as an example, when the similarity between the first object and the associated object corresponding to the first object is greater than or equal to a first threshold, the similarity between the two house source information is considered to be high. The calculation of the similar house source information mainly considers several indexes such as cities, regions, business circles, areas, prices, house types and the like. One possible method for measuring whether two house source information are similar is as follows: if the houses corresponding to the two house source information are in the same business circle, adding 1 to the similarity score; if the area/price difference does not exceed 10%, then the similarity score is increased by 1, the more the area/price difference, the smaller the similarity score is added, and so on. According to the method, the similarity score between any two house source information can be obtained. Assuming that N pieces of house source information having the highest similarity scores with the house source information i are [ a _0, a _1, a _2 … a _99], a key-value pair of (i, (a _0, a _1, a _2, …, a _99)) may be set according to the N pieces of house source information, [ a _0, a _1, a _2 … a _99], that is, a second object set corresponding to the house source information i is formed. If similar houses of a certain set of houses are to be obtained, the corresponding key-value pairs are searched according to the house source information.
Optionally, another way to determine the associated object of the reference object is that the distance between the object position of the reference object and the object position in the associated object corresponding to the reference object is less than or equal to the second threshold.
For example, the house source information i includes position information of houses, and a distance between the houses corresponding to any two house source information can be obtained according to the two house source information. One way to determine this is to determine that the two houses are near each other if the distance between the two houses is less than 3km, and the corresponding two house source information are the objects associated with each other. For a certain set of houses, the distance between the house and all other houses is obtained according to the house source information. Assuming that houses near a set of houses i are [ a _0, a _1, a _2, …, a _99], a key-value pair of (i, (a _0, a _1, …, a _99)) can be set in the database, and [ a _0, a _1, a _2 … a _99] constitutes a second set of objects corresponding to the house source information i. Therefore, if a house source nearby a certain set of house needs to be taken, only the house source information of the set of house needs to be searched.
Fig. 7 is a schematic diagram of a second object set provided in the embodiment of the present disclosure, as shown in fig. 7, the second object set includes a first object 71 and a set 72, the first object 71 is an object i, and a plurality of associated objects including the object i in the set 72 are respectively a _1, a _2, a _3, a _4, a _5, a _6, and a _7, and then a second object set 73 is obtained according to the object i and its associated object.
S54, obtaining the first object set based on the second object set corresponding to each first object.
When the related object of the first object is an object with the similarity to the first object being greater than or equal to a first threshold, taking personalized room source information recommendation as an example, according to browsing clicking operation of the first user in a historical time period, storing room source information with high similarity in a clicking history offline for online calling. The ID of the first user and the ID of the house source information i are obtained. And establishing inverted information according to the ID of the house source information i to obtain a list [ a _0, a _1, a _2 … a _99] of the associated objects of the house source information i. Then, a key-value pair of (user ID, [ a _0, a _1, a _2 … a _99]) is established based on the ID of the first user. If there is already a key-value pair with "user ID" as key, then only the value needs to be updated to the list concatenated with [ a _0, a _1, a _2 … a _99, value ]. In this way, all the associated objects of the first object that the first user has clicked on in the last N browsing sessions can be stored.
When the associated object of the first object is an object whose object position and the object position of the first object are less than or equal to the second threshold, taking personalized house source information recommendation as an example, after obtaining the ID of the user and the ID of the clicked house source information i, establishing inverted information according to d of the clicked house source information i, and obtaining a list [ a _0, a _1, a _2 … a _99] of associated objects corresponding to the house source information i. Then, a key-value pair of (user ID, [ a _0, a _1, a _2 … a _99]) is established based on the ID of the first user. If there is already a key-value pair with "user ID" as key, then only the value needs to be updated to the list concatenated with [ a _0, a _1, a _2 … a _99, value ]. In this way, the managed object of the first object clicked by the user in the last N browsing times can be stored.
Fig. 8 is a schematic diagram illustrating a first object set determination provided by an embodiment of the present disclosure, as shown in fig. 8, at least one first object browsed by a user in a history period is first obtained, and in fig. 8, a total of 3 first objects, i1, i2, and i3, are included.
Then, for each first object, object search is performed in a first preset database to obtain a second object set corresponding to the first object, wherein the second object set comprises the first object and an associated object of the first object.
And aiming at the first object i1, performing object search in a first preset database according to the first object i1 to obtain a second object set corresponding to the first object i1, wherein the second object set comprises objects a _1, a _2, a _3, a _4, a _5, a _6 and a _ 7. Similarly, for the first object i2, a corresponding second object set is obtained, and the second object set includes objects a _8, a _9, a _10, a _3, a _6, a _11, and a _ 12. For the first object i3, a corresponding second object set is obtained, and the second object set comprises objects a _13, a _14, a _3, a _8, a _15, a _16 and a _ 17.
A set 81 is obtained according to the objects in the three second object sets, as shown in fig. 8, in this case, the set 81 includes a plurality of repeated objects, and the deduplication processing needs to be performed, for example, the objects a _3, a _6, and a _ 8. After the repetitive objects are removed, the first object set is obtained based on the second object set corresponding to each first object, and specifically, the relevant objects in the second object set corresponding to each first object may be merged to obtain the first object set. As shown in fig. 8, in the first object set 82, objects a _1, a _2, a _3, a _4, a _5, a _6, a _7, a _8, a _9, a _10, a _11, a _12, a _13, a _14, a _15, a _16, a _17 are included, and a user ID, i.e., a user identification, is included.
And S55, inputting the objects in the first object set into a preset model, and determining a target object pushed to the first user based on the output of the preset model, wherein the preset model is obtained by training according to multiple groups of training samples, and each group of training samples comprises multiple sample objects and corresponding target sample objects.
And after the first object set is obtained, determining one object in the first object set as a target object. Optionally, the objects in the first object set may be input to a preset model, and the target object may be determined according to an output of the preset model, where the preset model may be obtained by training the objects browsed by the user in a historical period. For example, the server may obtain a plurality of sample objects browsed by the sample user in the history period, determine one sample object as a target sample object among the plurality of sample objects, and mark a label on the target object. And obtaining a group of training samples according to the plurality of sample objects and the corresponding target sample objects. According to the mode, multiple groups of training samples can be obtained, and then the preset model is trained based on the multiple groups of training samples. After the preset model is trained, the objects in the first object set are input into the preset model, a target object output by the preset model can be obtained, and then the target object is pushed to the first user.
Fig. 9 is a schematic diagram of pushing a target object according to an embodiment of the present disclosure, and as shown in fig. 9, the target object includes a mobile phone 91 and a mobile phone 92, where the mobile phone 91 and the mobile phone 92 are the same mobile phone, and different from that, the mobile phone 91 is in a screen-off state, and the mobile phone 92 is in a screen-on state.
In the embodiment of the present disclosure, the pushing of the target object is actively pushed. In the mobile phone 91, the screen is turned off, and after the target object is determined according to the above manner, the mobile phone 91 performs the pushing, at this time, as shown in the mobile phone 92, the mobile phone is in a screen-on state, and the house source pushing information appears on the mobile phone interface, and the house source pushing information includes the basic information of the target object: hai lake district of Beijing, first trade circle, three-room one-hall house source.
The house source information in fig. 9 is only an example of the target object and does not constitute a limitation on the target object. According to the mode, the interested target object can be obtained without clicking operation of the user.
The object pushing method provided by the embodiment of the disclosure includes the steps of firstly obtaining at least one first object browsed by a first user in a historical period, and then searching for an object in a first preset database based on the at least one object to obtain a first object set, wherein the first preset database includes a plurality of reference objects and associated objects corresponding to the reference objects. Finally, a target object pushed to the first user is determined based on the first set of objects. According to the scheme of the embodiment of the disclosure, according to at least one first object browsed by a first user in a historical period, an object interested by the first user can be obtained, and then a first object set is obtained according to the first object, wherein the first object set comprises an associated object of the first object, and the associated object of the first object is an object having a certain association relationship with the first object. And determining an associated object in the first object set as a target object to be pushed to the first user, wherein the first user is interested in the first object, so that the first user has a high probability of being interested in the associated object having an association relationship with the first object. According to the scheme, the object which the user is interested in can be obtained without the user actively executing clicking operation, the pushed target object is obtained according to the first object browsed by the first user in the historical time period, the first user is high in possibility of being interested in the target object, and the user stickiness and user retention are favorably improved.
Fig. 10 is a schematic structural diagram of an object pushing apparatus provided in the embodiment of the present disclosure, as shown in fig. 10, including an obtaining module 101, a processing module 102, and a pushing module 103, where:
the obtaining module 101 is configured to obtain at least one first object browsed by a first user in a historical period;
the processing module 102 is configured to perform object search in a first preset database based on the at least one first object to obtain a first object set, where the first preset database includes a plurality of reference objects and associated objects corresponding to each reference object;
the pushing module 103 is configured to determine a target object to be pushed to the first user based on the first set of objects.
In one possible implementation manner, the similarity between the reference object and the associated object corresponding to the reference object is greater than or equal to a first threshold; or the like, or, alternatively,
a distance between the object position of the reference object and an object position in an associated object to which the reference object corresponds is less than or equal to a second threshold.
In a possible implementation manner, the processing module 102 is specifically configured to:
for each first object, performing object search in the first preset database based on the first object to obtain a second object set corresponding to the first object, wherein the second object set comprises the first object and an associated object of the first object;
and obtaining the first object set based on the second object set corresponding to each first object.
In a possible implementation manner, the processing module 102 is specifically configured to:
and merging the associated objects in the second object set corresponding to each first object to obtain the first object set.
In a possible implementation manner, the obtaining module 101 is specifically configured to:
acquiring a user identifier of the first user;
and acquiring at least one first object browsed by the first user in the historical period in a second preset database based on the user identifier of the first user, wherein the second preset database comprises a plurality of user identifiers and objects browsed by the user in the historical period corresponding to each user identifier.
In a possible implementation manner, the obtaining module 101 is further configured to:
and determining the historical time period based on the current time, wherein the historical time period is a time period of which the time difference with the current time is less than a preset value.
In a possible implementation manner, the pushing module 103 is specifically configured to:
inputting the objects in the first object set into a preset model, and determining a target object pushed to the first user based on the output of the preset model, wherein the preset model is obtained by training according to multiple groups of training samples, and each group of training samples comprises multiple sample objects and corresponding target sample objects.
The apparatus provided in the embodiment of the present disclosure may be configured to implement the technical solution of the method embodiment, and the implementation principle and the technical effect are similar, which are not described herein again.
Fig. 11 is a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure, and referring to fig. 11, a schematic structural diagram of an electronic device 110 suitable for implementing an embodiment of the present disclosure is shown, where the electronic device 110 may be a terminal device or a server. Among them, the terminal Device may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a Digital broadcast receiver, a Personal Digital Assistant (PDA), a tablet computer (PAD), a Portable Multimedia Player (PMP), a car terminal (e.g., car navigation terminal), etc., and a fixed terminal such as a Digital TV, a desktop computer, etc. The electronic device shown in fig. 11 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 11, the electronic device 110 may include a processing device (e.g., a central processing unit, a graphics processor, etc.) 111, which may perform various suitable actions and processes according to a program stored in a Read Only Memory (ROM) 112 or a program loaded from a storage device 118 into a Random Access Memory (RAM) 113. In the RAM 113, various programs and data necessary for the operation of the electronic apparatus 110 are also stored. The processing device 111, the ROM112, and the RAM 113 are connected to each other through a bus 114. An input/output (I/O) interface 115 is also connected to bus 114.
Generally, the following devices may be connected to the I/O interface 115: input devices 116 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 117 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage devices 118 including, for example, magnetic tape, hard disk, etc.; and a communication device 119. The communication means 119 may allow the electronic device 110 to communicate wirelessly or by wire with other devices to exchange data. While fig. 11 illustrates an electronic device 110 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via the communication device 119, or installed from the storage device 118, or installed from the ROM 112. The computer program, when executed by the processing device 111, performs the above-described functions defined in the object pushing method of the embodiment of the present disclosure.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to perform the methods shown in the above embodiments.
Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of Network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present disclosure, and not for limiting the same; although embodiments of the present disclosure have been described in detail with reference to the foregoing embodiments, those skilled in the art will appreciate that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the embodiments of the present disclosure.
Claims (10)
1. An object pushing method, comprising:
acquiring at least one first object browsed by a first user in a historical period;
based on the at least one first object, performing object search in a first preset database to obtain a first object set, wherein the first preset database comprises a plurality of reference objects and associated objects corresponding to each reference object;
based on the first set of objects, determining a target object to push to the first user.
2. The method according to claim 1, wherein the similarity between the reference object and the associated object corresponding to the reference object is greater than or equal to a first threshold; or the like, or, alternatively,
a distance between the object position of the reference object and an object position in an associated object to which the reference object corresponds is less than or equal to a second threshold.
3. The method of claim 1, wherein performing an object search in a first predetermined database based on the at least one first object to obtain a first set of objects comprises:
for each first object, performing object search in the first preset database based on the first object to obtain a second object set corresponding to the first object, wherein the second object set comprises the first object and an associated object of the first object;
and obtaining the first object set based on the second object set corresponding to each first object.
4. The method of claim 3, wherein obtaining the first set of objects based on the second set of objects corresponding to each first object comprises:
and merging the associated objects in the second object set corresponding to each first object to obtain the first object set.
5. The method of any of claims 1-3, wherein obtaining at least one first object viewed by a first user during a historical period comprises:
acquiring a user identifier of the first user;
and acquiring at least one first object browsed by the first user in the historical period in a second preset database based on the user identifier of the first user, wherein the second preset database comprises a plurality of user identifiers and objects browsed by the user in the historical period corresponding to each user identifier.
6. The method of claim 5, further comprising:
and determining the historical time period based on the current time, wherein the historical time period is a time period of which the time difference with the current time is less than a preset value.
7. The method of any one of claims 1-6, wherein determining a target object to push to the first user based on the first set of objects comprises:
inputting the objects in the first object set into a preset model, and determining a target object pushed to the first user based on the output of the preset model, wherein the preset model is obtained by training according to multiple groups of training samples, and each group of training samples comprises multiple sample objects and corresponding target sample objects.
8. An object pushing apparatus, comprising:
the acquisition module is used for acquiring at least one first object browsed by a first user in a historical period;
the processing module is used for searching objects in a first preset database based on the at least one first object to obtain a first object set, wherein the first preset database comprises a plurality of reference objects and associated objects corresponding to the reference objects;
and the pushing module is used for determining a target object pushed to the first user based on the first object set.
9. An electronic device, comprising: at least one processor and memory;
the memory stores computer-executable instructions;
the at least one processor executing the memory-stored computer-executable instructions cause the at least one processor to perform the object pushing method of any of claims 1 to 7.
10. A computer-readable storage medium having stored therein computer-executable instructions that, when executed by a processor, implement the object pushing method of any one of claims 1 to 7.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010010142.1A CN111242724A (en) | 2020-01-06 | 2020-01-06 | Object pushing method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010010142.1A CN111242724A (en) | 2020-01-06 | 2020-01-06 | Object pushing method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111242724A true CN111242724A (en) | 2020-06-05 |
Family
ID=70866314
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010010142.1A Pending CN111242724A (en) | 2020-01-06 | 2020-01-06 | Object pushing method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111242724A (en) |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160154887A1 (en) * | 2014-12-01 | 2016-06-02 | Comcast Cable Communications, LLC. | Content Recommendation System |
US20160274744A1 (en) * | 2015-03-17 | 2016-09-22 | Comcast Cable Communications, Llc | Real-Time Recommendations and Personalization |
CN106649774A (en) * | 2016-12-27 | 2017-05-10 | 北京百度网讯科技有限公司 | Artificial intelligence-based object pushing method and apparatus |
CN108989573A (en) * | 2018-08-22 | 2018-12-11 | 海南新软软件有限公司 | A kind of information push method, apparatus and system |
CN109446412A (en) * | 2018-09-25 | 2019-03-08 | 中国平安人寿保险股份有限公司 | Product data method for pushing, device, equipment and medium based on web page tag |
CN110069698A (en) * | 2017-11-01 | 2019-07-30 | 北京京东尚科信息技术有限公司 | Information-pushing method and device |
CN110634047A (en) * | 2019-09-05 | 2019-12-31 | 北京无限光场科技有限公司 | Method and device for recommending house resources, electronic equipment and storage medium |
-
2020
- 2020-01-06 CN CN202010010142.1A patent/CN111242724A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20160154887A1 (en) * | 2014-12-01 | 2016-06-02 | Comcast Cable Communications, LLC. | Content Recommendation System |
US20160274744A1 (en) * | 2015-03-17 | 2016-09-22 | Comcast Cable Communications, Llc | Real-Time Recommendations and Personalization |
CN106649774A (en) * | 2016-12-27 | 2017-05-10 | 北京百度网讯科技有限公司 | Artificial intelligence-based object pushing method and apparatus |
CN110069698A (en) * | 2017-11-01 | 2019-07-30 | 北京京东尚科信息技术有限公司 | Information-pushing method and device |
CN108989573A (en) * | 2018-08-22 | 2018-12-11 | 海南新软软件有限公司 | A kind of information push method, apparatus and system |
CN109446412A (en) * | 2018-09-25 | 2019-03-08 | 中国平安人寿保险股份有限公司 | Product data method for pushing, device, equipment and medium based on web page tag |
CN110634047A (en) * | 2019-09-05 | 2019-12-31 | 北京无限光场科技有限公司 | Method and device for recommending house resources, electronic equipment and storage medium |
Non-Patent Citations (1)
Title |
---|
杨启秀: "《高校图书馆管理与服务创新研究》", 北京航空航天大学出版社, pages: 177 - 178 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11194822B2 (en) | Search ranking method and apparatus, electronic device and storage medium | |
CN109377329B (en) | House resource recommendation method and device, storage medium and electronic equipment | |
CN107679211B (en) | Method and device for pushing information | |
US20190335011A1 (en) | Method and device for information pushin | |
CN110619076B (en) | Search term recommendation method and device, computer and storage medium | |
CN110704751B (en) | Data processing method and device, electronic equipment and storage medium | |
CN107426328B (en) | Information pushing method and device | |
WO2017166647A1 (en) | Navigation information pushing method and device, and apparatus | |
CN107885873B (en) | Method and apparatus for outputting information | |
CN110633381B (en) | Method and device for identifying false house source, storage medium and electronic equipment | |
CN110634047B (en) | Method and device for recommending house resources, electronic equipment and storage medium | |
CN110619078B (en) | Method and device for pushing information | |
CN113592535B (en) | Advertisement recommendation method and device, electronic equipment and storage medium | |
CN113327146B (en) | Information tracking method and device | |
CN109510874A (en) | Electronic certificate method for pushing, device and electronic equipment based on LBS | |
CN111222960A (en) | Room source recommendation method and system based on public traffic zone | |
CN110827101B (en) | Shop recommending method and device | |
CN108600329B (en) | Method and equipment for pushing information and displaying information | |
CN112836128A (en) | Information recommendation method, device, equipment and storage medium | |
CN115225945A (en) | Object display method and device, electronic equipment and computer readable storage medium | |
CN111475722B (en) | Method and apparatus for transmitting information | |
CN113918659A (en) | Data operation method and device, storage medium and electronic equipment | |
CN111597439A (en) | Information processing method and device and electronic equipment | |
CN110633411A (en) | Method and device for screening house resources, electronic equipment and storage medium | |
CN112348614B (en) | Method and device for pushing information |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200605 |