FineRec: Exploring Fine-grained Sequential Recommendation
Author:
Affiliation:
1. Dalian University of Technology, Dalian, China
2. Pennsylvania State University, State College, PA, USA
Funder
Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3626772.3657761
Reference47 articles.
1. Keqin Bao Jizhi Zhang Yang Zhang Wenjie Wang Fuli Feng and Xiangnan He. 2023. TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. In RecSys. ACM 1007--1014.
2. Renqin Cai Jibang Wu Aidan San Chong Wang and Hongning Wang. 2021. Category-aware Collaborative Sequential Recommendation. In SIGIR. 388--397.
3. Mohna Chakraborty, Adithya Kulkarni, and Qi Li. 2022. Open-Domain Aspect-Opinion Co-Mining with Double-Layer Span Extraction. In SIGKDD, Aidong Zhang and Huzefa Rangwala (Eds.). ACM, 66--75.
4. Qian Chen Zhiqiang Guo Jianjun Li and Guohui Li. 2023. Knowledge-enhanced Multi-View Graph Neural Networks for Session-based Recommendation. In SIGIR. ACM 352--361.
5. Yongjun Chen Zhiwei Liu Jia Li Julian J. McAuley and Caiming Xiong. 2022. Intent Contrastive Learning for Sequential Recommendation. In WWW. 2172--2182.
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