Cool Papers · cs.IR (papers.cool) · RSS 摘要

信源：Cool Papers · cs.IR (papers.cool) · https://papers.cool/arxiv/cs.IR/feed

• REGER: Modeling inter-item Relations with Semantic IDs for Generative Recommendation — Personalized recommendation depends on learning semantic and collaborative relations among items from online content and user interactions. Generative recommendation (GR) offers a…
• Can Complementary Signals Bridge Similarity Islands? Manifold-Augmented Graph Embedding for Multimodal Recommendation — Multimodal Recommender Systems (MMRS) leverage rich item features to mitigate data sparsity, yet similarity-driven graph construction and propagation can favor semantically simila…
• When Is Additional Retrieval Worthwhile? A Cost-Aware Study of Evidence Gain and Answer Reliability in RAG — Retrieval-augmented generation (RAG) can benefit from more sophisticated retrieval, but extra retrieval may be unnecessary for many questions and gains in evidence retrieval may n…
• LESSRec: Level-Specific History Modeling for Semantic ID-Based Recommendation — Semantic ID-based recommendation represents each item as a sequence of semantic tokens obtained through residual quantization. This paradigm generates the next item's tokens autor…
• Modeling Preference Dependencies with Directed Acyclic Graphs for Narrative-Driven Recommendation — Narrative-driven recommendation allows users to express multifaceted needs through free-form text where stated preferences naturally qualify and condition one another. Existing me…