3 papers
cs.IR2026
Popcorn: A Configurable Benchmark for Visual Evidence in Multimodal Movie Recommendation
Ali Tourani, Fatemeh Nazary, Yashar Deldjoo +1
Movies are long-form audiovisual works, yet recommender benchmarks often rely on trailers, thumbnails, or metadata. These sources differ in semantics and scalability: full movies p…
cs.AI2026
Multi-Dimensional Evaluation of Sustainable City Trips with LLM-as-a-Judge and Human-in-the-Loop
Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl +1
Evaluating nuanced conversational travel recommendations is challenging when human annotations are costly and standard metrics ignore stakeholder-centric goals. We study LLMs-as-Ju…
cs.IR2026
TRACE: A Conversational Framework for Sustainable Tourism Recommendation with Agentic Counterfactual Explanations
Ashmi Banerjee, Adithi Satish, Wolfgang Wörndl +1
Traditional conversational travel recommender systems primarily optimize for user relevance and convenience, often reinforcing popular, overcrowded destinations and carbon-intensiv…