Video recommendation using crowdsourced time-sync comments

Author:

Ping Qing1

Affiliation:

1. Drexel University

Publisher

ACM

Reference20 articles.

1. Snigdha Chaturvedi Mohit Iyyer and Hal Daumé III. 2017. Unsupervised Learning of Evolving Relationships Between Literary Characters.. In AAAI. 3159--3165. Snigdha Chaturvedi Mohit Iyyer and Hal Daumé III. 2017. Unsupervised Learning of Evolving Relationships Between Literary Characters.. In AAAI . 3159--3165.

2. Personalized Key Frame Recommendation

3. The YouTube video recommendation system

4. Inducing Semantic Micro-Clusters from Deep Multi-View Representations of Novels

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1. Personalized time-sync comment generation based on a multimodal transformer;Multimedia Systems;2024-03-30

2. Sentiment Analysis on Online Videos by Time-Sync Comments;Entropy;2023-07-02

3. Qrator: An Interest-Aware Approach to ABR Streaming Based on User Engagement;IEEE Systems Journal;2022-12

4. An Autonomous Data Collection Pipeline for Online Time-Sync Comments;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06

5. TSCREC: Time-sync Comment Recommendation in Danmu-Enabled Videos;2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI);2020-11

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