Factual and Informative Review Generation for Explainable Recommendation

12 September 2022

Papers citing "Factual and Informative Review Generation for Explainable Recommendation"

7 / 7 papers shown

Title
Display Content, Display Methods and Evaluation Methods of the HCI in Explainable Recommender Systems: A Survey Weiqing Li Yue Xu Yuefeng Li Yinghui Huang 23 0 0 14 May 2025
HF4Rec: Human-Like Feedback-Driven Optimization Framework for Explainable Recommendation Jiakai Tang Jingsen Zhang Zihang Tian Xueyang Feng Lei Wang Xu Chen OffRL 162 0 0 19 Apr 2025
GaVaMoE: Gaussian-Variational Gated Mixture of Experts for Explainable Recommendation Fei Tang Yongliang Shen Hang Zhang Zeqi Tan Wenqi Zhang Guiyang Hou Kaitao Song Weiming Lu Yueting Zhuang 50 0 0 15 Oct 2024
Entity-Based Knowledge Conflicts in Question Answering Shayne Longpre Kartik Perisetla Anthony Chen Nikhil Ramesh Chris DuBois Sameer Singh HILM 245 239 0 10 Sep 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 306 0 27 Apr 2021
Explaining Answers with Entailment Trees Bhavana Dalvi Peter Alexander Jansen Oyvind Tafjord Zhengnan Xie Hannah Smith Leighanna Pipatanangkura Peter Clark ReLM FAtt LRM 242 184 0 17 Apr 2021
Measuring Association Between Labels and Free-Text Rationales Sarah Wiegreffe Ana Marasović Noah A. Smith 282 170 0 24 Oct 2020