CN113836324A - Information recommendation method, electronic equipment and server - Google Patents
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Abstract
The invention relates to an information recommendation method for a content reading interface, electronic equipment and a server, and belongs to the technical field of the Internet. The method comprises the following steps: displaying information content, and monitoring a setting area according to recommendation of information; acquiring recommendation characteristic information set by a user in the setting area; and acquiring recommendation information related to the recommendation characteristic information, and displaying the recommendation information. When the user watches the content information, the recommendation characteristic information can be set without exiting the current page, and because the recommendation characteristic information is actively set by the user, other contents can be continuously consumed from other content branches.
Description
Technical Field
The invention relates to the technical field of internet, in particular to the technical field of information recommendation, and specifically relates to an information recommendation method, electronic equipment and a server for a content reading interface.
Background
With the rapid development of internet technology, more and more people are used to obtain information through mobile terminals, such as watching video, listening to music or reading news by using mobile phones. Typically, the online platform will try to recommend more relevant content to the user. However, the inventors of the present application found that: in the prior art, the information recommendation method is often accompanied by multi-layer jump of the interface, and the user returns to the first page or the first entered page, so that the user has poor immersion. In addition, the information recommendation method in the prior art is often single in recommendation content, cannot meet diversified browsing requirements of users, and is prone to the situation that the users are tired in browsing.
Disclosure of Invention
The present invention is directed to overcome the above-mentioned shortcomings in the prior art, and provides an information recommendation method for a content reading interface, comprising: displaying information content, and monitoring a setting area according to recommendation of information; acquiring recommendation characteristic information set by a user in the setting area; and acquiring recommendation information related to the recommendation characteristic information, and displaying the recommendation information. For the information content recommended by the interface, the user can actively set the recommendation characteristic information in the above way, and the recommendation of the related information is not performed only according to the content currently watched by the user or the historical watching record of the user, so that the user has an active setting authority for the recommendation of the information, and the finally displayed recommendation information can better meet the interest of the user.
Optionally, the information includes at least one of video information, live broadcast information, music information, column information, picture information, text information, game information, merchandise information, and user information. Therefore, for the recommended information type, the user can obtain various types of information by setting one piece of recommendation characteristic information, so that the watching interest of the user can be met, and the user can obtain more selectable resources.
Optionally, the setting area is a setting area including a plurality of TAGs (TAG) associated with the displayed information content. The tag content can be the attribute, keyword or author of the information, and the like, and can be accurately associated with the recommended information content, so that the user can more clearly know the recommended characteristic information based on the recommended information displayed in the interface.
Optionally, the obtaining of the recommendation feature information set by the user in the setting area includes: receiving an adjustment request for adding, deleting or changing the sequence of the plurality of labels; and combining the adjusted labels as the recommendation characteristic information. The label is an important recommendation basis for recommendation information, and the content contained in the label is short, so that the display of a display screen is facilitated, recommendation characteristic information can be displayed to a user more intuitively, and the user can set each label conveniently through various operation modes.
Optionally, the obtaining recommendation information related to the recommendation feature information and displaying the recommendation information include: calculating a weight value according to the sequence of each label in the adjusted label combination; and acquiring the recommendation information related to each label according to the weight value, and displaying the recommendation information in sequence. By the method, the user can adjust the proportion of different recommendation information or the displayed position sequence by adjusting the sequencing of the labels, so that the user can conveniently screen out the information content which is most interested in, and according to the recommendation result, the number proportion of a certain type of video which the user wants to see is larger or the position sequence is closer to the upper part.
Optionally, the information recommendation method for a content reading interface further includes: and displaying the historical label combination according to the operation request. The user can conveniently search the historical label combinations in the future, and the subjective interest of the user can be more comprehensively analyzed through the historical label combinations.
Optionally, the obtaining of the recommendation feature information set by the user in the setting area includes: receiving an operation request for adding one history label combination to the setting area; and combining the added history labels as the recommendation characteristic information. After the user inquires the historical label combination, one group of label combination is directly added to the setting area, and the recommended information content can be obtained, so that the trouble caused by forgetting the label combination set by the user once is avoided, and the operation of setting the recommended characteristic information by the user is facilitated.
Optionally, the obtaining of the recommendation feature information set by the user in the setting area includes: receiving an operation request for adding one information content to the setting area; and using the added information content as the recommendation characteristic information. For example, when a user accidentally sees a certain video, which is interesting to the lead actor of the video, the user may add the video to a setting area, and various works about the lead actor may be displayed. The user does not need to know the specific steps executed by the background in the recommendation process, and only needs to add the interested information content to the setting area of the information recommendation, so that the operation of the user is facilitated.
Optionally, the obtaining of the recommendation feature information set by the user in the setting area includes: receiving an operation request for adding one picture in the picture information or one segment of characters in the character information to the setting area; and taking the added pictures or characters as the recommended characteristic information. For example, a news newsletter contains a plurality of keywords, the user can add only one interested keyword into the setting area, and other keywords which are not interested by the user are not taken as the basis of recommendation, so that the finally recommended information content is more in line with the interest of the user.
The invention also provides electronic equipment which comprises a memory, a processor and a display, wherein the memory stores information; the processor is used for enabling the display to display information content and monitoring a setting area according to information recommendation; acquiring recommendation characteristic information set by a user in the setting area; acquiring recommendation information related to the recommendation characteristic information, and enabling the display to display the recommendation information; the display is used for receiving the operation of a user and displaying information.
The invention also provides a server for executing the following steps:
receiving recommendation characteristic information of information sent by a client, wherein the recommendation characteristic information is obtained by the client in the following way: displaying information content, and monitoring a setting area according to recommendation of information; acquiring recommendation characteristic information set by a user in the setting area;
and sending recommendation information related to the recommendation characteristic information to the client, and enabling the client to display the recommendation information.
The invention further provides a computer-readable storage medium, on which a computer program is stored, which, when executed by a processor, implements the information recommendation method for a content reading interface as described in any of the above.
According to the above, the information recommendation method for a content reading interface provided by the embodiment of the invention comprises the following steps: displaying information content, and monitoring a setting area according to recommendation of information; acquiring recommendation characteristic information set by a user in the setting area; and acquiring recommendation information related to the recommendation characteristic information, and displaying the recommendation information. When the user watches the content information, the recommendation characteristic information can be set without exiting the current page, and because the recommendation characteristic information is actively set by the user, other contents can be continuously consumed from other content branches. By adopting the embodiment of the invention, the requirement of the user on the diversity of the recommended content is met by setting the area, interface skipping is not needed, the immersion feeling of the user during browsing is enhanced, and the user viscosity is increased.
Drawings
FIG. 1 is a schematic diagram of a prior art interface including video recommendations;
FIG. 2 is a schematic interface diagram of a video home page in the prior art;
FIG. 3 is a flowchart illustrating an information recommendation method for a content reading interface according to an embodiment of the present invention;
FIG. 4 is a schematic view of an interface including a setting region according to an embodiment of the present invention;
FIG. 5 is a schematic diagram illustrating the recommendation of information based on tags according to one embodiment of the present invention;
FIG. 6 is a schematic diagram of an interface for providing recommended features information in the form of a video according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of an interface capable of combining history tags as recommendation feature information according to an embodiment of the present invention
FIG. 8 is a schematic diagram of an interface capable of using a picture as recommended feature information according to an embodiment of the present invention;
FIG. 9 is a schematic diagram of an interface capable of using text as recommended features information according to an embodiment of the present invention;
FIG. 10 is a schematic block diagram of an electronic device according to an embodiment of the invention;
FIG. 11 is a schematic block diagram of a server and client connection according to an embodiment of the present invention.
Detailed Description
The inventor of the present invention finds that the information recommendation method in the prior art has the following disadvantages:
1. in terms of the defects of continuous consumption of content at the interactive level, for example, starting from any one video detail page, the user can continue to consume the same type of video through the recommended video of the video detail page, but when the recommended video enters a certain depth on the path, the backspace can only return to the first page or the first entered page, and the user cannot continue to consume other content from other content branches.
2. Regarding the defects of continuous consumption of content and information type recommendation, for example, for continuous consumption of short videos, the probability of the next recommended content is still the short video type that the user ever sees, and the user cannot expand more categories on the basis of the content and can only accurately position the content by searching. In the long past, the possibility of the user to expand a new type can only be solved through the initiative of the user.
3. In view of the drawback of continuous consumption of content at the product structure level, for example, if a user watches creative work a, the recommended work may only have related creative work a1 and creative work a2, etc., and if the user wants to watch the secondarily created work, the user needs to search by himself.
In the prior art, for example, please refer to fig. 1, a playing area a1 plays a video requested by a user, and a recommendation area a2 recommends a plurality of videos, which are related to the video in the playing area a 1. Further, the information recommendation method in the prior art may also recommend the information according to the history of videos watched by the user, and the videos in the history may be videos that are missed by the user, or videos that the user finds himself or herself does not like after watching for a while, so the videos recommended by the prior art scheme may not be the types that the user likes. Further, even though the prior art can exclude the video watched by the user within a certain time from the recommended basis, it does not exclude the scene that the mobile phone of a certain user is used by multiple people. In addition, regarding the type of information recommended, for example, the playing area a1 is playing a video about "superman", and the recommendation area a2 recommends a related video, for example, "superman return", "superman 4: and 'superman 2', etc., if the user wants to watch all the works of the main actor in the video played in the playing area a1, and the works may not only be limited to the video, but also may be live games, or related historical news, etc., the user is required to search one by one, which undoubtedly adds a lot of trouble. In another case, for example, the user is interested in other videos and wants to generate continuous branch consumption with the other videos as recommended starting points, the user needs to quit the interface shown in fig. 1, go back to the video home page, such as the interface shown in fig. 2, and then search for videos by the user before continuing content consumption, which is very tedious.
Therefore, in order to overcome the above-mentioned drawbacks, an embodiment of the present invention provides an information recommendation method for a content reading interface. In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Referring to fig. 3, the information recommendation method for a content reading interface according to the present embodiment includes the following steps:
s1: displaying information content, and monitoring a setting area according to recommendation of information;
s2: acquiring recommendation characteristic information set by a user in the setting area;
s3: and acquiring recommendation information related to the recommendation characteristic information, and displaying the recommendation information.
In this embodiment, the recommended feature information is information content or a tag set by the user in the setting area.
In this way, when the user watches the content information, the recommendation characteristic information can be set without exiting the current page, and as the recommendation characteristic information is actively set by the user, other content can be continuously consumed from other content branches, in addition, the finally recommended content is not only the content that the user wants to watch, but also the information type of the recommended content is not limited, for example, the user can set a video, a picture, a text or a group of labels as the recommendation characteristic information, and the finally displayed recommendation information can comprise videos, music, live broadcasts, games and the like.
Example 1
As an example of the present invention, the setting area may be a setting area including a plurality of tabs related to the displayed information content. And if the user slides the setting area to the left, a related label is added. For example, please refer to fig. 4, T represents a setting area, V represents a video playing area, R represents a video recommendation area, a video played in the video playing area V is a "batman" related subject matter, when the user slides the setting area T to the left, a "batman" tag is automatically added, and a recommendation pool is refreshed, and a video related to "batman" is added in the video recommendation area R at this time. Specifically, a video work containing the 'batman' tag has other tags, and when a related tag is added, all videos containing the 'batman' tag need to be traversed, and the other tags of the videos need to be collected and added to a tag combination as the related tag. If the user deletes a "super hero" tag, the relevant video in the video recommendation area R for "super hero" is removed. At this time, by clicking the recommended video at any time, the video playing area V plays a new video, but the label does not change.
The user may also set the recommendation priority by adjusting the arrangement order of the tags, for example, the user browses many videos related to superpeople, and suddenly finds that there is a "superperson" in the related tags, for example, the "superperson" tag is located at the end of the tag ordering, the percentage of related videos related to the "superperson" in the video recommendation area R is the least or is arranged at the lowest, and if the "superperson" tag is dragged to the front by the user at this time, the percentage of related videos related to the "superperson" in the recommended videos displayed in the video recommendation area R becomes the largest or is arranged at the top of the video recommendation area R. From the perspective of background data processing, a weight value can be calculated according to the sequence of each label in the adjusted label combination, then recommendation information related to each label is obtained according to the weight value, and the recommendation information is displayed in sequence or in proportion. The recommended videos that are most easily seen, or most seen, by the user are obtained by the user by adjusting the order of the tags. The labels can be added or deleted, the positions can be adjusted, a black-and-white list of the labels can be set, so that a certain type of video is recommended preferentially or recommended forbidding the certain type of video, and the color of the labels can be set to serve as personalized setting of a user. In addition, in the browsing process of the recommended videos, in order to simplify the step of viewing the recommended videos related to the browsed videos by the user, the user can also see the content tag combination browsed by the user, and the user does not only simply receive the black box videos pushed by the big data. And, the user can review the historical video content that he or she has viewed.
In view of the above-mentioned priority of recommendation, as an implementation, for example, when a tag related to "batman" is newly added, all videos containing the "batman" tag need to be traversed so as to obtain all related tags, and then the repetition times of all tags are inevitably obtained. For example, in three videos using the "batman" tag, the tag of the "super hero" is repeated for the most times, and then the "super hero" and the "batman" tag are considered to have stronger association with the content, so as to have higher "recommendation priority", otherwise the priority is low. When the label combination appears, whether the label combination has label contents frequently previewed by the user is analyzed, if yes, the label combination is determined to be a label 'A', the label 'A' is taken as a main part, a related label of the label 'A' is searched, and more similar contents are recommended. For example, traversing all videos, searching videos with related tags, and pushing videos with large praise amount, large browsing number and/or high comprehensive favorite rating to a recommendation list. As shown in fig. 5, since the tags may represent video content, the recommendation list will be based on the current tags, so as to collect videos with high content relevance, and ensure the depth of the recommended content; meanwhile, the related label of the current label is used as an auxiliary to search more similar contents, so that the breadth of the recommended contents is ensured, and the possibility that the user finds the contents is increased. It is easy to see that the jump path of the interface is optimized, the complicated situation of interface jump caused by too deep path is avoided, the immersion feeling of the user during browsing is ensured by a plurality of interfaces, and the viscosity of the user is increased.
Example 2
In order to facilitate the user operation, in the information recommendation method for the content reading interface according to the embodiment of the present invention, the user may directly use a video as recommendation feature information, so as to generate a new recommendation pool, and the background also records the content attribute of the video in the background. Referring to fig. 6, 1 indicates a setting area, and 2 indicates a recommended video. For example, after the user drags the video 2 into the setting area 1, a recommended video related to the video 2 can be obtained. It should be noted that, the essence of using a video as recommendation feature information is to analyze a tag combination of the video, and use the tag combination as a recommendation source, thereby obtaining a series of recommendation priorities of related tags and tags. In addition, the tag combination in the history tag can also be used as recommendation feature information again, so that the user can continuously view the video of the type, namely, the history tag is used as recommendation feature information again. For example, referring to fig. 7, 3 indicates a certain historical tab combination, and the user can drag the tab combination 3 into the setting area 1, so that the obtained recommended video is related to the tab combination 3. By adopting the recommendation method of the embodiment, when a user browses or inquires a certain information content, the information content can be directly set as the recommendation characteristic information, and then the interface can display the related recommendation content.
Example 3
As a preferred embodiment of the present invention, the information is not limited to video information, but may be live information, music information, section information, picture information, text information, game information, activity pages, commodity information, or user information, and the like, that is, the user can obtain recommendation information with multiple attributes through one-time recommendation setting. For example, for the "superman" tag, the recommended information may be in the form of movie and television columns, or in the form of live game streams.
Referring to fig. 8, the interface may include video, text and picture information, and after the picture 4 is dragged to the setting area 1, the interface refreshes recommendation information, and the new recommendation information may be various types of information such as games, commodities, music, etc. related to the tag included in the picture 4.
Referring to fig. 9, a user may select a keyword, for example, the user selects a keyword from the information 5 by long pressing, and drags the selected keyword to the setting area 1, so that the recommended information after the interface is refreshed is related to the selected keyword. Therefore, the user can obtain more abundant related information for a certain recommendation characteristic information because the type of recommendation information is not limited. For example, when the user uses the name of the interested author as the recommendation feature information, the interface can display the works of the author (including novels, movies, music and games), the related real-time news of the author, and the like, so that the user can obtain richer and comprehensive information, thereby increasing the stickiness of the user.
According to the above, since both the spirit consumption and the material consumption require precise consumption (for example, many praise, hundreds of UP main, weekly watching, ten million regeneration, and recent update), the information recommendation method for the content reading interface provided by the embodiment can play a role of screening. By adopting the information recommendation method for the content reading interface, provided by the embodiment of the invention, a user can continue to start a recommendation process from the recommended video stream of the video detail page, consumption can be started at the moment when interest is generated in a certain culture, and continuous consumption can be started in any area of a product. Therefore, the method and the device can meet the requirement of the user on diversity of the recommended content, do not need interface jump, enhance the immersion feeling of the user during browsing and increase the viscosity of the user.
An embodiment of the present invention provides an electronic device, please refer to fig. 10, which includes a memory, a processor and a display, wherein the memory stores information; the processor is used for enabling the display to display information content and monitoring a setting area according to information recommendation; acquiring recommendation characteristic information set by a user in the setting area; acquiring recommendation information related to the recommendation characteristic information, and enabling the display to display the recommendation information; the display is used for receiving the operation of a user and displaying information. The steps executed by the processor are not limited to the above, and may be executed as necessary in any of the above embodiments.
Referring to fig. 11, an embodiment of the present invention further provides a server, where the server performs the following steps: receiving recommendation characteristic information of information sent by a client, wherein the recommendation characteristic information is obtained by the client in the following way: displaying information content, and monitoring a setting area according to recommendation of information; receiving an operation request on the setting area to obtain the recommended feature information; and sending recommendation information related to the recommendation characteristic information to the client, and enabling the client to display the recommendation information. For example, a user adds a video as recommendation feature information in a setting area, a client sends the recommendation feature information to a server, the server sends related recommendation videos to the client according to the recommendation feature information, and the client displays the recommendation videos after receiving the recommendation videos. The steps executed by the server are not limited to the above, and the steps necessary for any of the above embodiments may be executed.
An embodiment of the present invention further provides a computer-readable storage medium, wherein a computer program is stored on the computer-readable storage medium, and when being executed by a processor, the computer program implements the information recommendation method for a content reading interface according to any of the above embodiments.
In this specification, the invention has been described with reference to specific embodiments thereof. It will, however, be evident that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
Claims (11)
1. An information recommendation method for a content reading interface, comprising:
displaying information content, and monitoring a setting area according to recommendation of information;
acquiring recommendation characteristic information set by a user in the setting area;
and acquiring recommendation information related to the recommendation characteristic information, and displaying the recommendation information.
2. The information recommendation method for content reading interface as claimed in claim 1, wherein the information comprises at least one of video information, live information, music information, bulletin information, picture information, text information, game information, merchandise information and user information.
3. The information recommendation method for content reading interface as claimed in claim 1, wherein the setting area is a setting area comprising a plurality of tags associated with the displayed information content.
4. The information recommendation method for content reading interface as claimed in claim 3, wherein said obtaining recommendation feature information set by the user in said setting area comprises:
receiving an adjustment request for adding, deleting or changing the sequence of the plurality of labels;
and combining the adjusted labels as the recommendation characteristic information.
5. The information recommendation method for content reading interface as claimed in claim 4, wherein said obtaining recommendation information related to said recommendation feature information and displaying said recommendation information comprises:
calculating a weight value according to the sequence of each label in the adjusted label combination;
and acquiring the recommendation information related to each label according to the weight value, and displaying the recommendation information in sequence.
6. The information recommendation method for content reading interface as recited in claim 5, further comprising:
and displaying the historical label combination according to the operation request.
7. The information recommendation method for content reading interface as claimed in claim 6, wherein said obtaining recommendation feature information set by the user in said setting area comprises:
receiving an operation request for adding one history label combination to the setting area;
and combining the added history labels as the recommendation characteristic information.
8. The information recommendation method for content reading interface as claimed in claim 1, wherein said obtaining recommendation feature information set by the user in said setting area comprises:
receiving an operation request for adding one information content to the setting area;
and using the added information content as the recommendation characteristic information.
9. The information recommendation method for content reading interface as claimed in claim 2, wherein said obtaining recommendation feature information set by the user in said setting area comprises:
receiving an operation request for adding one picture in the picture information or one segment of characters in the character information to the setting area;
and taking the added pictures or characters as the recommended characteristic information.
10. An electronic device comprising a memory, a processor, and a display,
the memory stores information;
the processor is used for enabling the display to display information content and monitoring a setting area according to information recommendation; acquiring recommendation characteristic information set by a user in the setting area; acquiring recommendation information related to the recommendation characteristic information, and enabling the display to display the recommendation information;
the display is used for receiving the operation of a user and displaying information.
11. A server, characterized in that the server is configured to perform the steps of:
receiving recommendation characteristic information of information sent by a client, wherein the recommendation characteristic information is obtained by the client in the following way: displaying information content, and monitoring a setting area according to recommendation of information; acquiring recommendation characteristic information set by a user in the setting area;
and sending recommendation information related to the recommendation characteristic information to the client, and enabling the client to display the recommendation information.
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