MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations
Author:
Affiliation:
1. City University of Hong Kong, Hong Kong
2. University of Sydney, Australia
3. Jilin University, China and City University of Hong Kong, Hong Kong
4. Michigan State University, USA
5. Guangdong Institute of Smart Education, Jinan University, China
Funder
APRC - CityU New Research Initiatives
Huawei Innovation Research Program
HKIDS Early Career Research Grant
Ant Group (CCF-Ant Research Fund)
SIRG - CityU Strategic Interdisciplinary Research Grant
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3543507.3583378
Reference49 articles.
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2. Attentive Collaborative Filtering
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4. Keunho Choi , Donghee Yoo , Gunwoo Kim , and Yongmoo Suh . 2012. A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis. electronic commerce research and applications 11, 4 ( 2012 ), 309–317. Keunho Choi, Donghee Yoo, Gunwoo Kim, and Yongmoo Suh. 2012. A hybrid online-product recommendation system: Combining implicit rating-based collaborative filtering and sequential pattern analysis. electronic commerce research and applications 11, 4 (2012), 309–317.
5. $$M^3$$-IB: A Memory-Augment Multi-modal Information Bottleneck Model for Next-Item Recommendation
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