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Video recommendation reason generating system and method

A video recommendation and generation system technology, applied in the direction of electrical digital data processing, special data processing applications, instruments, etc., can solve problems such as incomprehensible recommendation systems, unsatisfactory thumbnail quality, and unknown reasons for recommendation

Inactive Publication Date: 2014-12-17
SHANGHAI LIANSHANG NETWORK TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] 1. The display is relatively simple:
[0004] The recommendation results of existing recommendation engines are often a list of recommendation results with a flat structure. The importance of the recommendation results in the list can only be provided to the user according to the sorting order. where, unable to focus
[0005] 2. Incomplete and inaccurate information:
[0006] For example, on video sites, some videos uploaded by users, although the content of the video itself is high-quality, but the title description entered by the user is not accurate enough, and the quality of the thumbnail is not ideal.
If these videos appear in the recommendation results, it is difficult to attract users to click on the recommendation list because there is no additional supplementary description
[0007] 3. The reason for the recommendation is unknown:
[0008] Users usually do not understand the system and are confused by the results recommended by the recommendation system

Method used

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  • Video recommendation reason generating system and method
  • Video recommendation reason generating system and method
  • Video recommendation reason generating system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] see figure 1 , figure 1 A schematic diagram of the video recommendation reason generation system of this embodiment, including a filter unit 2, a selection unit 3, and a recommendation reason unit 1 composed of a video collection, the recommendation reason unit 1 is used to provide the filter unit 2 with videos based on various recommendation reasons; The filtering unit 2 is used to filter the videos recommended by the recommendation reason unit 1 to remove unqualified videos; the selection unit 3 is used to recommend the videos filtered by the filtering unit 2 and display them to the user.

[0048] see figure 2 , figure 2 For the video recommendation reason generating system of the present embodiment, include a schematic diagram of a detailed module of the recommendation reason unit 1, the recommendation reason unit 1 includes a home page recommendation module 10, a leaderboard recommendation module 11, a statistical recommendation module 12, a comment recommendati...

Embodiment 2

[0057] see image 3 , image 3 is another embodiment of the present invention. In this implementation, on the basis of the first embodiment, a weight setting unit 4 is added to assign importance weights to each recommendation unit. For the same video, there may be multiple recommendation reasons among the above-mentioned recommendation reasons at the same time, so there are multiple recommendation reasons. In order to further improve the recommendation of high-quality videos, usually only one recommendation will be displayed for the same video at the same time. reason. Therefore, it is necessary to optimize each of the above-mentioned recommendation reasons, and select a best-quality recommendation reason. One is to increase diversity and prevent visual fatigue. There should be a certain opportunity to display various reasons for recommendation. The second is to prevent too many reasons for a certain recommendation, resulting in a large number of repeated recommendation re...

Embodiment 3

[0061] The present invention also provides a method for generating video recommendation reasons, comprising the following steps:

[0062] 1): Provide video resources;

[0063] 2): Filter the provided videos and remove unqualified videos;

[0064] 3): Recommend displaying the filtered videos.

[0065] Among them, for the provided video resources, the recommendation is based on the following a\b\c\d\e or any combination thereof to form the recommendation reason,

[0066] a. Collect videos that have appeared on the homepage to generate recommendation reasons related to the homepage; for example, "Today's homepage headline video". For some important channel pages, similar recommendation reasons can also be generated.

[0067] b. Collect top-ranked videos of various rankings to generate ranking recommendation reasons, for example, collect top 50 videos in various categories and generate ranking recommendation reasons. Take the funny category as an example, if the ranking is gre...

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Abstract

The invention discloses a video recommendation reason generating system and method. The video recommendation reason generating system comprises a filter unit, a selection unit and a recommendation reason unit composed of video sets. The recommendation reason unit is used for videos based on various recommendation reasons for the filter unit. The filter unit is used for filtering the videos based on the recommendation reasons so as to remove the videos which do not satisfy the condition. The selection unit is used for conducting recommendation and display on the videos filtered through the filter unit. Various video resource data are collected and classified to form the videos based on various recommendation reasons, the classified videos are screened and filtered, and therefore high-quality videos are recommended and displayed to users.

Description

technical field [0001] The invention relates to network online video technology, in particular to a system and method for generating video recommendation reasons. Background technique [0002] With the development of information technology and the Internet, people have gradually entered the era of information overload from the era of information scarcity. For information consumers, it is very difficult to find the information they are interested in from the massive amount of information; at the same time, for information producers, it is also very difficult to make the information they produce stand out and attract the attention of users. The recommendation engine was created to solve this problem. The recommendation engine of the prior art has the following problems: [0003] 1. The display is relatively simple: [0004] The recommendation results of existing recommendation engines are often a list of recommendation results with a flat structure. The importance of the re...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/735
Inventor 吕鹏陈运文姜迅陈华清
Owner SHANGHAI LIANSHANG NETWORK TECHNOLOGY CO LTD