CN112364259A - Information recommendation method, device, equipment and medium - Google Patents
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Abstract
The application discloses an information recommendation method, which comprises the following steps: marking information concerned by a target user to obtain a user concerned mark; obtaining a social group of a target user, and marking information concerned by the social group to obtain a group concerned mark; and recommending first target information to the target user according to the user attention mark and the group attention mark. Obviously, in the information recommendation method, the first target information is recommended to the target user according to the user attention mark and the group attention mark, so that compared with the prior art, the target user can be prevented from only paying attention to the favorite information content, and the probability of the information cocoon room of the user can be relatively reduced through the setting method. Correspondingly, the information recommendation device, the equipment and the medium have the beneficial effects.
Description
Technical Field
The present invention relates to the field of information recommendation technologies, and in particular, to an information recommendation method, apparatus, device, and medium.
Background
With the rapid development of internet technology, almost all internet applications have multiple information recommendation methods to recommend information to users. In the existing internet information recommendation method, information recommendation is generally performed according to the content concerned by the user, but the information recommendation method easily causes the phenomenon of information cocoon of the user. At present, no effective solution exists for the technical problem.
Therefore, how to reduce the probability of the information cocoon room appearing in the user is a technical problem to be urgently solved by the technical personnel in the field.
Disclosure of Invention
In view of the above, an object of the embodiments of the present invention is to provide an information recommendation method, apparatus, device and medium, so as to reduce the probability of the information cocoon occurrence for a user. The specific scheme is as follows:
an information recommendation method, comprising:
marking information concerned by a target user to obtain a user concerned mark;
obtaining a social group of the target user, and marking the information concerned by the social group to obtain a group concerning mark;
and recommending first target information to the target user according to the user attention mark and the group attention mark.
Preferably, the obtaining of the social group of the target user includes:
acquiring a social group participated in by the target user or a used social platform;
and taking the social group or the contact group of the target user on the social platform as the social group of the target user.
Preferably, the process of recommending the first target information to the target user according to the user attention mark and the group attention mark includes:
and combining the user attention mark and the group attention mark to obtain a first attention mark, and recommending first sub-information to the target user according to the first attention mark.
Preferably, the process of recommending the first target information to the target user according to the user attention mark and the group attention mark includes:
and acquiring a second attention mark of which the mark frequency exceeds a preset threshold value in the user attention mark and the group attention mark, and recommending second sub information to the target user according to the second attention mark.
Preferably, the method further comprises the following steps:
and screening the second attention mark according to a preset screening condition to obtain a third attention mark, and recommending third sub-information to the target user according to the third attention mark.
Preferably, the process of recommending the first target information to the target user according to the user attention mark and the group attention mark includes:
and recommending fourth sub-information to the target user according to the user attention mark and the group attention mark based on a collaborative filtering algorithm.
Preferably, after the process of recommending the first target information to the target user according to the user attention mark and the group attention mark, the method further includes:
re-marking the information concerned by the target user and the social group according to a preset period to respectively obtain a user updating mark and a group updating mark;
and recommending second target information to the target user according to the user updating mark and the group updating mark.
Correspondingly, the embodiment of the invention also discloses an information recommendation device, which comprises:
the user marking module is used for marking the information concerned by the target user to obtain a user concerned mark;
the group marking module is used for acquiring the social group of the target user and marking the information concerned by the social group to obtain a group concerning mark;
and the information recommendation module is used for recommending first target information to the target user according to the user attention mark and the group attention mark.
Correspondingly, the embodiment of the invention also discloses an information recommendation device, which comprises:
a memory for storing a computer program;
a processor for implementing the steps of an information recommendation method as disclosed in the foregoing when executing said computer program.
Accordingly, an embodiment of the present invention also discloses a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, implements the steps of an information recommendation method as disclosed in the foregoing.
Therefore, in the information recommendation method provided by the embodiment of the invention, firstly, information concerned by a target user is marked to obtain a user concerned mark, then, a social group of the target user is obtained, the information concerned by the social group is marked to obtain a group concerned mark, and finally, first target information is recommended to the target user according to the user concerned mark and the group concerned mark. Obviously, in the information recommendation method, the first target information is recommended to the target user according to the user attention mark and the group attention mark, so that compared with the prior art, the target user can be prevented from only paying attention to the favorite information content, and the probability of the information cocoon room of the user can be relatively reduced through the setting method. Correspondingly, the information recommendation device, the equipment and the medium provided by the embodiment of the invention also have the beneficial effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a flowchart of an information recommendation method according to an embodiment of the present invention;
fig. 2 is a structural diagram of an information recommendation apparatus according to an embodiment of the present invention;
fig. 3 is a structural diagram of an information recommendation device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments of the present invention without any creative effort belong to the protection scope of the embodiments of the present invention.
Referring to fig. 1, fig. 1 is a flowchart of an information recommendation method according to an embodiment of the present invention, where the information recommendation method includes:
step S11: marking information concerned by a target user to obtain a user concerned mark;
step S12: obtaining a social group of a target user, and marking information concerned by the social group to obtain a group concerned mark;
step S13: and recommending first target information to the target user according to the user attention mark and the group attention mark.
In this embodiment, an information recommendation method is provided, by which the probability of the occurrence of the information cocoon of the user can be reduced. Specifically, the information recommendation method is described with a processor as an execution subject. The processor may be integrated in a mobile phone, an application server, or other types of mobile terminals, and is not limited in this respect.
In the information recommendation method, firstly, information concerned by a target user is marked to obtain a user attention mark. Such as: the target user likes football and baseball, and then the target user adds interests and hobbies to football and baseball on a webpage browsed by the target user or a platform logged in, and then the webpage browsed by the target user or the platform logged in pushes related information about football and baseball to the target user. In this embodiment, it is necessary to mark the football and baseball that the target user is interested in, and obtain the user attention mark: soccer and baseball.
After the user attention mark is obtained, the social group of the target user is obtained, and it can be understood that in actual life, the target user is not an isolated individual, and certain social groups are necessarily present, such as: football teammates, baseball teams, or QQ and Wechat friends groups, etc.; then, marking the information concerned by the social group of the target user to obtain a group concerning mark, namely, assuming that the user A and the user B are both one member of the social group of the target user, the content information that the user A likes to browse is basketball and ping-pong, and the content information that the user B likes to browse is skating and social hot news, then the group concerning mark of the social group of the target user is: basketball, table tennis, skating and social hot news.
It is conceivable that, in order to reduce the probability of the target user appearing in the information cocoon room, the information base of the browsing information of the target user needs to be expanded, but the reading experience of the target user is greatly reduced by pushing the information to the target user unintentionally, and therefore, in this embodiment, the first target information is recommended to the target user according to the user attention mark and the group attention mark.
In the process of recommending the first target information to the target user according to the user attention mark and the group attention mark, the user attention mark and the group attention mark may be merged, and the first target information may be recommended to the target user according to the merged attention mark, or the first target information may be recommended to the target user according to the attention mark with a larger number of marks among the user attention mark and the group attention mark, or the first target information may be recommended to the target user according to the mark of attention of family and friend of the target user among the user attention mark and the group attention mark, where adaptive adjustment may be performed according to actual conditions, and details thereof are not described in this embodiment.
It can be understood that when the first target information is recommended to the target user according to the target user attention mark and the group attention mark, the information base of the browsing information of the target user is equivalently expanded, and compared with the prior art that information is pushed to the target user only according to the attention mark concerned by the target user, the probability of the occurrence of the information cocoon of the user can be remarkably reduced through the setting mode.
As can be seen, in the information recommendation method provided in this embodiment, first, information that a target user pays attention to is marked to obtain a user attention mark, then, a social group of the target user is obtained, the information that the social group pays attention to is marked to obtain a group attention mark, and finally, first target information is recommended to the target user according to the user attention mark and the group attention mark. Obviously, in the information recommendation method, the first target information is recommended to the target user according to the user attention mark and the group attention mark, so that compared with the prior art, the target user can be prevented from only paying attention to the favorite information content, and the probability of the information cocoon room of the user can be relatively reduced through the setting method.
Based on the above embodiments, this embodiment further describes and optimizes the technical solution, and as a preferred implementation, the above steps: obtaining a social group of a target user, comprising:
acquiring a social group or a used social platform which a target user participates in;
and taking the social group or the contact group of the target user on the social platform as the social group of the target user.
It is understood that the social group of the target user includes a social group set up by the target user in real life by real human relations, and also includes a social group set up by the target user in the virtual network. Such as: the social groups of the target user in the social groups of the driver club, the pulley club and the dance community, and the social groups of the target user in the third-party application platform WeChat and/or QQ and/or Sino microblog. Therefore, in practical applications, in order to obtain the social group of the target user, the social group that the target user participates in or the social platform that is used by the target user may be obtained first, and then the social group that the target user participates in and the contact group of the target user on the social platform are taken as the social group of the target user.
Because the WeChat and/or QQ and/or Sing microblog has the advantages of real-time and rapid information transmission, when the social group of the target user is obtained through the WeChat and/or QQ and/or Sing microblog of the third-party application platform, the purpose of rapidly and accurately obtaining the social group of the target user can be achieved, and therefore the convenience in obtaining the social group of the target user can be further improved.
Obviously, by the technical scheme provided by the embodiment, the diversity and comprehensiveness of the target user social group can be relatively improved.
Based on the above embodiments, this embodiment further describes and optimizes the technical solution, and as a preferred implementation, the above steps: the process of recommending first target information to a target user according to a user attention mark and a group attention mark comprises the following steps:
and combining the user attention mark and the group attention mark to obtain a first attention mark, and recommending first sub-information to the target user according to the first attention mark.
In this embodiment, a specific implementation method for recommending first target information to a target user is provided, that is, in a process of recommending first target information to the target user according to a user attention mark and a group attention mark, the user attention mark and the group attention mark are combined to obtain a first attention mark, and then first sub-information is recommended to the target user according to the first attention mark.
Specifically, when the user concerns the news labeled as football and baseball and the group concerns the news labeled as basketball, table tennis, skating and social hot, the first concern label is the news labeled as football, baseball, basketball, table tennis, skating and social hot. At this time, in the process of recommending information to the target user, information contents related to football, baseball, basketball, table tennis, skating and social hotspot news can be pushed to the target user.
Obviously, according to the technical scheme provided by the embodiment, the information base of the information concerned by the target user is expanded to the greatest extent, so that the probability of the target user appearing in the information cocoon room can be further reduced through the setting mode.
Based on the above embodiments, this embodiment further describes and optimizes the technical solution, and as a preferred implementation, the above steps: the process of recommending first target information to a target user according to a user attention mark and a group attention mark comprises the following steps:
and acquiring a user attention mark and a second attention mark with the mark frequency exceeding a preset threshold value in the group attention marks, and recommending second sub-information to the target user according to the second attention mark.
In practical application, the number of people in the target user social group may be large, and the group attention mark exceeds the upper limit of the information browsed by the user, and in addition, an attention mark marked only once may appear in the group attention mark.
Therefore, in this embodiment, in order to avoid the above situation, after the second attention mark with the mark frequency exceeding the preset threshold value in the user attention mark and the group attention mark is obtained, the second sub information is recommended to the target user according to the second attention mark.
Such as: assuming that the preset threshold is 30 times, if the user pays attention to the mark as basketball, football, table tennis and baseball, in the user paying attention to the mark, the mark times of basketball, football, table tennis and baseball are respectively as follows: 5, 7, 6 and 9 times; and the group attention mark is basketball, gourmet, clothing, hot news, baseball, building and table tennis, and in the group attention mark, the times that basketball, gourmet, clothing, hot news, baseball, building and table tennis are marked are respectively: 27, 40, 35, 20, 22, 5 and 15 times. Then, in the above-mentioned focus marks, since only the focus marks of the basketball, the food, the clothing, and the baseball are more than 30 times, in this case, the basketball, the food, the clothing, and the baseball may be collectively referred to as the second focus mark, and the second sub information may be recommended to the target user according to the second focus mark, the basketball, the food, the clothing, and the baseball.
Obviously, by the setting mode, the probability of related information content with less times of pushing the marks to the target user can be relatively reduced, and therefore the browsing experience of the target user in information browsing can be improved.
As a preferred embodiment, the information recommendation method further includes:
and screening the second attention mark according to a preset screening condition to obtain a third attention mark, and recommending third sub-information to the target user according to the third attention mark.
It is conceivable that, in real life, there may be a phenomenon that the target attention mark in the second attention marks exceeds a preset threshold, but the target attention mark is not the content of interest of the target user. In this case, if information continues to be recommended to the target user according to the target attention mark, the reading experience of the target user is also reduced.
Therefore, in this embodiment, in order to further improve the reading experience of the target user, after the second attention mark is obtained, the second attention mark is further screened according to the preset screening condition, that is, a third attention mark meeting the preset screening condition is screened from the second attention mark, and then, third sub-information is recommended to the target user according to the third attention mark, so that the probability that the target user dislikes the information content is relatively reduced.
For example, when the second attention mark is obtained as basketball, gourmet, clothing and baseball, the target user does not like to waste too much precious time on the clothing and clothing arrangement, that is, the target user sets the preset filtering condition as: a sign of interest not related to clothing, clothing assortment. Then, when a third focus mark meeting a preset screening condition is screened from the second focus marks, the costumes in the second focus mark are removed, and only the third focus marks of basketball, gourmet and baseball are left. At this time, in order to improve the reading experience of the target user, the third sub-information may be recommended to the target user only according to the third concern mark, i.e., basketball, gourmet and baseball.
Obviously, the technical scheme provided by the embodiment can achieve the purpose of improving the reading experience of the target user.
Based on the above embodiments, this embodiment further describes and optimizes the technical solution, and as a preferred implementation, the above steps: the process of recommending first target information to a target user according to a user attention mark and a group attention mark comprises the following steps:
and recommending fourth sub-information to the target user according to the user attention mark and the group attention mark based on a collaborative filtering algorithm.
Because the collaborative filtering algorithm has high recommendation accuracy, the model of the collaborative filtering algorithm has high universality, and the staff can recommend the fourth sub-information to the target user by using the collaborative filtering algorithm without much professional knowledge in the application data field, and the implementation process is simple and easy, in this embodiment, the fourth sub-information is recommended to the target user by using the collaborative filtering algorithm according to the user attention mark and the group attention mark.
Such as: when a user pays attention to and marks basketball, football, table tennis and baseball, and a group pays attention to and marks basketball, food, clothes and hot news, the keywords of basketball, football, table tennis, baseball, food, clothes and hot news in the attention mark can be input into the mathematical model of the collaborative filtering algorithm, and at the moment, the fourth sub-information related to the attention mark basketball, football, table tennis, baseball, food, clothes and hot news can be output by the mathematical model of the collaborative filtering algorithm. Therefore, by the technical scheme provided by the embodiment, the difficulty in realizing the information recommendation method provided by the application in the actual use process can be further reduced.
Based on the above embodiments, this embodiment further describes and optimizes the technical solution, and as a preferred implementation, the above steps: after the process of recommending the first target information to the target user according to the user attention mark and the group attention mark, the method further comprises the following steps:
re-marking the information concerned by the target user and the social group according to a preset period to respectively obtain a user updating mark and a group updating mark;
and recommending second target information to the target user according to the user updating mark and the group updating mark.
It can be understood that in real life, the information concerned by the target user and the target user social group changes with the time, and then the content of the recommended information to the target user should be updated accordingly. Therefore, in this embodiment, in order to achieve the purpose of recommending information to the target user and adapting to the actual life scene of the target user, the information concerned by the target user and the social group of the target user is marked again according to the preset period to obtain the user update mark and the group update mark respectively, and then, second target information is recommended to the target user according to the user update mark and the group update mark.
Specifically, assuming that the attention of the target user is marked as basketball, baseball, ping pong, skiing and football in 1 month, and the attention of the social group of the target user is marked as food, clothing, social hotspot news and tourism, the processor can recommend information to the target user according to the basketball, baseball, ping pong, skiing, football, food, clothing, social hotspot news and tourism in 1 month; and in month 2, the target user's attention is marked as basketball, baseball and soldier ping, and the target user's social group's attention is marked as food, social hotspot news, welfare lottery and photography, then in month 2, the processor can recommend second target information to the target user according to basketball, baseball, soldier pong, food, social hotspot news, welfare lottery and photography.
Obviously, by the technical scheme provided by the embodiment, the information recommended to the target user can be changed along with the change of the information focused by the target user, so that the reading experience of the target user can be further improved.
Referring to fig. 2, fig. 2 is a structural diagram of an information recommendation device according to an embodiment of the present invention, the information recommendation device includes:
the user marking module 21 is configured to mark information that a target user pays attention to, to obtain a user attention mark;
the group marking module 22 is configured to obtain a social group of the target user, and mark information concerned by the social group to obtain a group concerning mark;
and the information recommending module 23 is configured to recommend the first target information to the target user according to the user attention mark and the group attention mark.
Preferably, the population tagging module 22 comprises:
the platform acquisition unit is used for acquiring a social group participated in by a target user or a used social platform;
and the group establishing unit is used for taking the social group or the contact group of the target user on the social platform as the social group of the target user.
Preferably, the information recommending module 23 includes:
and the first recommending unit is used for combining the user attention mark and the group attention mark to obtain a first attention mark and recommending first sub information to the target user according to the first attention mark.
Preferably, the information recommending module 23 includes:
and the second recommending unit is used for acquiring the user attention mark and a second attention mark with the mark frequency exceeding a preset threshold value in the group attention mark, and recommending second sub-information to the target user according to the second attention mark.
Preferably, the method further comprises the following steps:
and the third recommending unit is used for screening the second attention mark according to the preset screening condition to obtain a third attention mark, and recommending third sub-information to the target user according to the third attention mark.
Preferably, the information recommending module 23 includes:
and the fourth recommending unit is used for recommending fourth sub-information to the target user according to the user attention mark and the group attention mark based on a collaborative filtering algorithm.
Preferably, the method further comprises the following steps:
the system comprises a mark updating module, a group updating module and a user information recommending module, wherein the mark updating module is used for marking the information concerned by a target user and a social group again according to a preset period after the process of recommending first target information to the target user according to a user attention mark and a group attention mark so as to respectively obtain a user updating mark and a group updating mark;
and the information updating module is used for recommending second target information to the target user according to the user updating mark and the group updating mark.
The information recommendation device provided by the embodiment of the invention has the beneficial effects of the information recommendation method disclosed in the foregoing.
Referring to fig. 3, fig. 3 is a structural diagram of an information recommendation device according to an embodiment of the present invention, where the information recommendation device includes:
a memory 31 for storing a computer program;
a processor 32 for implementing the steps of an information recommendation method as disclosed in the foregoing when executing the computer program.
The information recommendation device provided by the embodiment of the invention has the beneficial effects of the information recommendation method disclosed by the embodiment of the invention.
Accordingly, an embodiment of the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the steps of the information recommendation method as disclosed in the foregoing are implemented.
The computer-readable storage medium provided by the embodiment of the invention has the beneficial effects of the information recommendation method disclosed in the foregoing.
The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same or similar parts among the embodiments are referred to each other. The device disclosed by the embodiment corresponds to the method disclosed by the embodiment, so that the description is simple, and the relevant points can be referred to the method part for description.
Finally, it should also be noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
The information recommendation method, apparatus, device and medium provided by the present invention are described in detail above, and the principle and the implementation of the present invention are explained in this document by applying specific examples, and the description of the above examples is only used to help understanding the method and the core idea of the present invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. An information recommendation method, comprising:
marking information concerned by a target user to obtain a user concerned mark;
obtaining a social group of the target user, and marking the information concerned by the social group to obtain a group concerning mark;
and recommending first target information to the target user according to the user attention mark and the group attention mark.
2. The information recommendation method according to claim 1, wherein the obtaining of the social group of the target user comprises:
acquiring a social group participated in by the target user or a used social platform;
and taking the social group or the contact group of the target user on the social platform as the social group of the target user.
3. The information recommendation method according to claim 1, wherein the process of recommending the first target information to the target user according to the user attention mark and the group attention mark comprises:
and combining the user attention mark and the group attention mark to obtain a first attention mark, and recommending first sub-information to the target user according to the first attention mark.
4. The information recommendation method according to claim 1, wherein the process of recommending the first target information to the target user according to the user attention mark and the group attention mark comprises:
and acquiring a second attention mark of which the mark frequency exceeds a preset threshold value in the user attention mark and the group attention mark, and recommending second sub information to the target user according to the second attention mark.
5. The information recommendation method of claim 4, further comprising:
and screening the second attention mark according to a preset screening condition to obtain a third attention mark, and recommending third sub-information to the target user according to the third attention mark.
6. The information recommendation method according to claim 1, wherein the process of recommending the first target information to the target user according to the user attention mark and the group attention mark comprises:
and recommending fourth sub-information to the target user according to the user attention mark and the group attention mark based on a collaborative filtering algorithm.
7. The information recommendation method according to any one of claims 1 to 6, wherein after the process of recommending the first target information to the target user according to the user attention mark and the group attention mark, the method further comprises:
re-marking the information concerned by the target user and the social group according to a preset period to respectively obtain a user updating mark and a group updating mark;
and recommending second target information to the target user according to the user updating mark and the group updating mark.
8. An information recommendation apparatus, comprising:
the user marking module is used for marking the information concerned by the target user to obtain a user concerned mark;
the group marking module is used for acquiring the social group of the target user and marking the information concerned by the social group to obtain a group concerning mark;
and the information recommendation module is used for recommending first target information to the target user according to the user attention mark and the group attention mark.
9. An information recommendation apparatus characterized by comprising:
a memory for storing a computer program;
a processor for implementing the steps of an information recommendation method as claimed in any one of claims 1 to 7 when executing said computer program.
10. A computer-readable storage medium, characterized in that a computer program is stored on the computer-readable storage medium, which computer program, when being executed by a processor, carries out the steps of a method for information recommendation according to any one of claims 1 to 7.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116594712A (en) * | 2023-05-29 | 2023-08-15 | 上海炫稷网络科技有限公司 | User center display method and system based on data analysis |
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