Modeling User Viewing Flow using Large Language Models for Article Recommendation
Author:
Affiliation:
1. Northeastern University, Shenyang, China
2. Alibaba Group, Hangzhou, China
3. Unaffiliated, Hangzhou, China
Funder
National Social Science Foundation of China
Natural Science Foundation of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3648305
Reference73 articles.
1. A Comparative Analysis of Article Recommendation Platforms
2. Neural News Recommendation with Long- and Short-term User Representations
3. Content Driven User Profiling for Comment-Worthy Recommendations of News and Blog Articles
4. 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. arXiv preprint arXiv:2305.00447 (2023).
5. Iz Beltagy, Matthew E. Peters, and Arman Cohan. 2020. Longformer: The Long-Document Transformer. CoRR (2020). arXiv:2004.05150
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