Qiwei Bi — accepted AI-conference papers

2022

MINER: Multi-Interest Matching Network for News Recommendation

Jian Li, Jieming Zhu, Qiwei Bi, Guohao Cai, Lifeng Shang, Zhenhua Dong +2

ACL 2022findings

Personalized news recommendation is an essential technique to help users find interested news. Accurately matching user’s interests and candidate news is the key to news recommendation. Most existing methods learn a single user embedding from user’s historical behaviors to represent the reading inte…

Cited by 87 Source ↗PDF ↗Scholar ↗

2022

MTRec: Multi-Task Learning over BERT for News Recommendation

Qiwei Bi, Jian Li, Lifeng Shang, Xin Jiang, Qun Liu, Hanfang Yang

ACL 2022findings

Existing news recommendation methods usually learn news representations solely based on news titles. To sufficiently utilize other fields of news information such as category and entities, some methods treat each field as an additional feature and combine different feature vectors with attentive poo…

Cited by 38 Source ↗PDF ↗Scholar ↗