EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation-Reference-Cited by-同舟云学术

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EEG-SVRec: An EEG Dataset with User Multidimensional Affective Engagement Labels in Short Video Recommendation

Published:2024-07-10 Issue: Volume: Page:698-708
ISSN:
Container-title:Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Zhang Shaorun¹^ORCID,He Zhiyu¹^ORCID,Ye Ziyi¹^ORCID,Sun Peijie¹^ORCID,Ai Qingyao¹^ORCID,Zhang Min¹^ORCID,Liu Yiqun¹^ORCID

Affiliation:

1. DCST, Tsinghua University, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3626772.3657890

Reference49 articles.

1. Bias on the web

2. The Limits of Popularity-Based Recommendations, and the Role of Social Ties

3. Neural Attentional Rating Regression with Review-level Explanations

4. Zhongxia Chen Xiting Wang Xing Xie Tong Wu Guoqing Bu Yining Wang and Enhong Chen. 2019. Co-attentive multi-task learning for explainable recommendation.. In IJCAI. 2137--2143.

5. Keith M Davis III, Michiel Spapé, and Tuukka Ruotsalo. 2021. Collaborative filtering with preferences inferred from brain signals. In Proceedings of the Web Conference 2021. 602--611.

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