Proceedings of the 32nd ACM International Conference on Information and Knowledge Management 2023
DOI: 10.1145/3583780.3614781
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APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation

Mingjia Yin,
Hao Wang,
Xiang Xu
et al.

Abstract: The sequential recommendation system has been widely studied for its promising effectiveness in capturing dynamic preferences buried in users' sequential behaviors. Despite the considerable achievements, existing methods usually focus on intra-sequence modeling while overlooking exploiting global collaborative information by inter-sequence modeling, resulting in inferior recommendation performance. Therefore, previous works attempt to tackle this problem with a global collaborative item graph constructed by pr… Show more

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Cited by 6 publications
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References 63 publications
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