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Video recommendation method and device, electronic equipment, storage medium and program product

A video recommendation and video technology, applied in the fields of electronic equipment, storage media and program products, devices, and video recommendation methods, can solve the problems of low interest, need to be improved, and do not consider the distribution of user interests, and achieve high accuracy.

Active Publication Date: 2022-07-08
BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, each user may have different habits of watching videos. For example, user A likes to watch similar types of videos repeatedly, while user B rejects repeated viewing of similar types of videos.
Therefore, user A will tend to watch videos similar to "top videos in history", and user B will be less interested in videos similar to "top videos in history"
However, the global sum of the features of multiple historical videos with the same weight does not consider the distribution of user interests. Therefore, the accuracy of video recommendation for users needs to be improved.

Method used

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  • Video recommendation method and device, electronic equipment, storage medium and program product
  • Video recommendation method and device, electronic equipment, storage medium and program product
  • Video recommendation method and device, electronic equipment, storage medium and program product

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Embodiment Construction

[0100] In order to make those skilled in the art better understand the technical solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings.

[0101] It should be noted that the terms "first", "second" and the like in the description and claims of the present disclosure and the above drawings are used to distinguish similar objects, and are not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used may be interchanged under appropriate circumstances so that the embodiments of the disclosure described herein can be practiced in sequences other than those illustrated or described herein. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatus and methods co...

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Abstract

The invention relates to a video recommendation method and apparatus, an electronic device, a storage medium and a program product. The method comprises the steps of obtaining video vectors of a plurality of candidate videos and a user vector of a target user; according to a plurality of historical videos watched by the target user, obtaining a historical sequence of the target user formed by video vectors of the plurality of historical videos; the user vector of the target user and the historical sequence are input into a first neural network, a personalized sequence of the target user is obtained, and the personalized sequence of the target user comprises the ratio of the interest of the target user in each historical video to the total interest of the target user in the multiple historical videos; and inputting the video vectors of the plurality of candidate videos and the personalized sequence of the target user into a video recommendation system to obtain a recommended video of the target user determined from the plurality of candidate videos. The personalized sequence disclosed by the invention can reflect the interest distribution of the user in the historical sequence, so that the video which better conforms to the interest distribution of the user can be recommended based on the personalized sequence.

Description

technical field [0001] The present disclosure relates to the technical field of video recommendation, and in particular, to a video recommendation method, apparatus, electronic device, storage medium and program product. Background technique [0002] The video recommendation system predicts the user's interest and preference for the candidate video according to the characteristics of the candidate video, the characteristics of the historical videos that the user has watched, etc., so as to recommend the video for the user. In the related art, when a video recommendation system adopts the features of historical videos watched by a user, the features of multiple historical videos are usually summed globally with the same weight, so that the summed video features represent the user's interest preference. [0003] However, each user may have different video viewing habits. For example, user A likes to watch similar types of videos repeatedly, while user B refuses to watch simila...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/735G06F16/78G06F16/9535G06N3/08
CPCG06F16/735G06F16/78G06F16/7867G06F16/9535G06N3/08
Inventor 骆明楠廖一桥
Owner BEIJING DAJIA INTERNET INFORMATION TECH CO LTD
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