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NewsTorch: A PyTorch-based Toolkit for Learner-oriented News Recommendation
Rongyao Wang, Veronica Liesaputra, Zhiyi Huang
News recommender systems are devised to alleviate the information overload, attracting more and more researchers' attention in recent years. The lack of a dedicated learner-oriente…
A Survey on LLM-based News Recommender Systems
Rongyao Wang, Veronica Liesaputra, Zhiyi Huang
News recommender systems play a critical role in mitigating the information overload problem. In recent years, due to the successful applications of large language model technologi…
Modeling Multi-interest News Sequence for News Recommendation
Rongyao Wang, Wenpeng Lu
A session-based news recommender system recommends the next news to a user by modeling the potential interests embedded in a sequence of news read/clicked by her/him in a session.…
Aspect-driven User Preference and News Representation Learning for News Recommendation
Rongyao Wang, Wenpeng Lu, Shoujin Wang +3
News recommender systems are essential for helping users to efficiently and effectively find out those interesting news from a large amount of news. Most of existing news recommend…