Video recommendation method and system based on dynamic trust perception

A video recommendation and dynamic technology, applied in digital data information retrieval, special data processing applications, instruments, etc., to achieve the effect of improving accuracy, solving honesty problems, and improving accuracy

Active Publication Date: 2022-01-28
YANTAI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above contradictions bring certain challenges to the prediction of users' final preferences.

Method used

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  • Video recommendation method and system based on dynamic trust perception
  • Video recommendation method and system based on dynamic trust perception
  • Video recommendation method and system based on dynamic trust perception

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0064] Such as figure 1 As shown, this embodiment provides a video recommendation method based on dynamic trust awareness, and proposes a dynamic trust awareness based preference evolution model (Dynamic Trust-aware Preferences EvolutionModel, DTPEM). DTPEM proposes a dynamic bounded confidence operator, which is used to model the dynamics of bounded confidence thresholds; a dynamic heterogeneous interaction preference acceptance operator is introduced, which is used to model the user's acceptance of the influence of interactive object preferences; The dynamic heterogeneous trust degree is used to model the honesty degree of user preference expression; for the four preferences of users, a new preference evolution formula is designed by combining the dynamic heterogeneous interactive preference acceptance and dynamic heterogeneous trust degree. The model proposed by the invention can better simulate the real process of user preference evolution in real life, and overcomes the s...

Embodiment approach

[0073]As an implementation manner, the initial real information or initial communication information is input into the trained neural network to obtain the preference category.

[0074] As an implementation, x i (t 0 )∈[0,1] is t 0 time user A i Initial true preference for (i=1,2,...,N); z ij (t 0 )∈[0,1] is t 0 Moment A i to A j Expressed initial communication preferences. Specifically, x i (t 0 )∈[0,1] is user A i The initial true preference for this video, x i (t 0 )=0, means user A i Didn't like the video at first, x i (t 0 )=1, means user A i Loved the video at first ;z ij (t 0 ) User A i to user A j Expressed initial communication preference for this video, z ij (t 0 )=0, means user A i to user A j Indicates that you don't like the video at first, z ij (t 0 )=1, means user A i to user A j Indicates that the video is liked very much at the beginning; if the initial communication information between two users is set to empty, then let z ij (t ...

Embodiment 2

[0153] The present embodiment provides a video recommendation system based on dynamic trust perception, which specifically includes the following modules:

[0154] The initial preference acquisition module is configured to: acquire all users' initial real preferences and initial communication preferences for a certain video;

[0155] A preference evolution module configured to: input the initial real preferences and initial communication preferences of all users into a preference evolution model based on dynamic trust perception to obtain the final real preferences of all users for the video;

[0156]A video recommendation module, which is configured to: recommend video to all users according to the final real preference of the video by all users;

[0157] The preference evolution model based on dynamic trust perception sequentially evolves the user's real preference, communication preference, public preference and estimated preference through dynamic heterogeneous interaction...

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Abstract

The invention belongs to the technical field of preference estimation, and provides a video recommendation method and system based on dynamic trust perception. The method comprises the following steps: obtaining initial real preferences and initial communication preferences of all users for a certain video; inputting the initial real preferences and the initial communication preferences of all the users into a preference evolution model based on dynamic trust perception to obtain final real preferences of all the users to the video; recommending videos to all the users according to the final real preferences of all the users to the video. According to a preference evolution model based on dynamic trust perception, real preference, communication preference, public preference, and estimation preference of users are evolved in sequence through dynamic heterogeneous interaction preference acceptability and dynamic heterogeneous trust degree, so that the preference evolution accuracy is improved, and more videos of interest are recommended to the users.

Description

technical field [0001] The invention belongs to the technical field of video recommendation, and in particular relates to a video recommendation method and system based on dynamic trust perception. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] In recent years, with the rapid development of Internet technology, people can conveniently express and exchange their views and opinions and form comments according to their preferences for related videos through communication tools such as the Internet. At present, it is necessary to accurately and timely predict the public's preferences for different videos, so as to recommend videos of interest to users. Therefore, it is of great application value to estimate the preferences of user groups for different videos, grasp the interests of user groups for different videos, and recommend videos of in...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/735G06F16/9535G06F16/9536
CPCG06F16/735G06F16/9535G06F16/9536
Inventor 刘志中孟令强初佃辉海燕贾卫华
Owner YANTAI UNIV
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