Attention Mechanism indicating Item Novelty for Sequential Recommendation
Author:
Affiliation:
1. National Cheng Kung University,Department of Electrical Engineering,Tainan,Taiwan
2. Institute of Computer and Communication Engineer, National Cheng Kung University,Department of Electrical Engineering,Tainan,Taiwan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10068562/10068565/10068599.pdf?arnumber=10068599
Reference16 articles.
1. BERT4Rec
2. BPR: bayesian personalized ranking from implicit feedback;rendle;UAI 2009 Proceedings of the twenty-fifth conference on uncertainty in artificial intelligence,2009
3. Challenging the long tail recommendation
4. Attention is all you need;vaswani;Proceedings of the 31st International Conference on Neural Information Processing Systems,2017
5. Matching Novelty While Training: Novel Recommendation Based on Personalized Pairwise Loss Weighting
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