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- W4360995864 abstract "In the current Internet era, recommendation algorithms have been widely used in major video platforms, due to a large number of short videos, self-made videos lack of video evaluation and user ratings lead to low recommendation efficiency, in order to improve the recommendation efficiency, a fusion of video multi-featured danmaku video recommendation algorithm is proposed. Firstly, the sentiment vector of the video is obtained by classifying the danmaku comments of the video with deep neural network and calculating the sentiment similarity; secondly, the topic distribution vector of the video is generated by LDA topic model based on the tags at the bottom of the video homepage and calculating the topic similarity; then, the distribution vector of the video introduction is obtained by using Doc2vec for the title and description of the video; finally, the sentiment similarity, profile similarity and topic similarity of the video are weighted and fused to obtain the comprehensive similarity among the videos. Then we quantify the public popularity of the video by the number of likes, coins and share, and finally, we calculate the user's preference for the video by the history of user likes and coins, and then multiply the public popularity of the video to generate the recommendation value, and select the top-N videos for recommendation. The experimental results show that compared with the danmaku video recommendation algorithm (DRCFT) fused with collaborative filtering and topic model and the original collaborative filtering, the accuracy of the proposed method recommendation is improved by 0.12 on average, the Recall rate is improved by 0.18 on average, and the F1 value is improved by 0.15 on average." @default.
- W4360995864 created "2023-03-30" @default.
- W4360995864 creator A5020895201 @default.
- W4360995864 creator A5056458670 @default.
- W4360995864 date "2022-12-02" @default.
- W4360995864 modified "2023-09-29" @default.
- W4360995864 title "A Study of Danmaku Video Recommendation Algorithm Incorporating Multiple Features" @default.
- W4360995864 doi "https://doi.org/10.1109/icftic57696.2022.10075124" @default.
- W4360995864 hasPublicationYear "2022" @default.
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