Video recommendation method, device, computer equipment and storage medium
A video recommendation and video technology, applied in the field of machine learning, can solve the problems of ACT model losing user feature information and low video recommendation accuracy, and achieve the effect of improving gradient dispersion, reducing computational pressure, and improving accuracy
Active Publication Date: 2021-08-03
深圳市雅阅科技有限公司
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Problems solved by technology
[0005] Embodiments of the present invention provide a video recommendation method, device, computer equipment, and storage medium, which can solve the problem that the ACT model loses information in user features and video features, resulting in low video recommendation accuracy
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[0093] In order to make the objectives, technical solutions and advantages of the present invention clearer, the embodiments of the present invention will be further described in detail below with reference to the accompanying drawings.
[0094] figure 1 It is a schematic diagram of an implementation environment of a video recommendation method provided by an embodiment of the present invention. see figure 1 , at least one terminal 101 and a server 102 may be included in this implementation environment.
[0095] The at least one terminal 101 is used for browsing videos, and the server 102 is used for recommending videos to at least one user corresponding to the at least one terminal 101 .
[0096] In some embodiments, an application client may be installed on each of the at least one terminal 101, and the application client may be any client that can provide a video browsing service, so that the server 102 can The behavior log on the client side collects sample user data an...
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The invention discloses a video recommendation method, device, computer equipment and storage medium, belonging to the field of machine learning. The method includes: inputting the video into the first feature extraction network, performing feature extraction on at least one continuous video frame in the video, and outputting video features of the video; inputting user data of the user into the second feature extraction network, and performing feature extraction on the discrete video frames Feature extraction is performed on the user data to output the user features of the user; feature fusion is performed based on the video features and the user features to obtain the recommendation probability of recommending the video to the user; according to the recommendation probability, it is determined whether to recommend the video to the user. The present invention uses different networks for feature extraction for user features and video features, avoids losing information in user features and video features, and improves the accuracy of video recommendation.
Description
technical field [0001] The present invention relates to the field of machine learning, and in particular, to a video recommendation method, device, computer equipment and storage medium. Background technique [0002] With the development of network technology, more and more users can watch videos at any time through the terminal, and the server can recommend some videos that the user may be interested in from the massive video database, so as to better satisfy the user's video viewing need. [0003] During the recommendation process, the server can extract the joint feature between any video in the video library and the user based on the attention collaborative filtering (ACT) model, and repeat the above steps for each video in the video library to obtain the same The multiple joint features corresponding to each video are further ranked according to the Euclidean distance between the multiple joint features, and the ranking of all the joint features is obtained, thereby re...
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IPC IPC(8): H04N21/25H04N21/45H04N21/466H04N21/482
CPCH04N21/251H04N21/252H04N21/4532H04N21/4826H04N21/4668H04N21/26603H04N21/25891H04N21/23418G06V20/41G06V10/454G06V10/82G06N3/08G06V10/806G06N3/045G06F18/253H04N21/44008H04N21/4666G06V20/46G06F18/251
Inventor 苏舟刘书凯孙振龙饶君丘志杰刘毅刘祺王良栋商甜甜梁铭霏陈磊张博
Owner 深圳市雅阅科技有限公司