Large Language Models for Intent-Driven Session Recommendations

1 code implementation • 7 Dec 2023 • Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong

Intent-aware session recommendation (ISR) is pivotal in discerning user intents within sessions for precise predictions.

Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects

1 code implementation • 14 Jun 2023 • Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma

Conversational recommender systems (CRSs) have become crucial emerging research topics in the field of RSs, thanks to their natural advantages of explicitly acquiring user preferences via interactive conversations and revealing the reasons behind recommendations.

Recommendation Systems

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

2 code implementations • 22 Jun 2022 • Zhu Sun, Hui Fang, Jie Yang, Xinghua Qu, Hongyang Liu, Di Yu, Yew-Soon Ong, Jie Zhang

Recently, one critical issue looms large in the field of recommender systems -- there are no effective benchmarks for rigorous evaluation -- which consequently leads to unreproducible evaluation and unfair comparison.

Benchmarking Recommendation Systems