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cs.IR2025
Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments
Yifan Liu, Qianfeng Wen, Jiazhou Liang +6
Natural Language Recommendation (NLRec) generates item suggestions based on the relevance between user-issued NL requests and NL item description passages. Existing NLRec approache…
cs.CL2025
Transparent Reference-free Automated Evaluation of Open-Ended User Survey Responses
Subin An, Yugyeong Ji, Junyoung Kim +3
Open-ended survey responses provide valuable insights in marketing research, but low-quality responses not only burden researchers with manual filtering but also risk leading to mi…
cs.IR2025★ 3 cited
Empowering Retrieval-based Conversational Recommendation with Contrasting User Preferences
Heejin Kook, Junyoung Kim, Seongmin Park +1
Conversational recommender systems (CRSs) are designed to suggest the target item that the user is likely to prefer through multi-turn conversations. Recent studies stress that cap…