Tag: recommendation systems
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Preventing Manipulation in Popularity-Biased Online Reviews
Explore how sparse attacks manipulate online reviews and how behavioral diversity can buffer popularity-biased rating systems from distortion.
SRBench: Benchmarking Sequential Recommendations with LLMs
Discover SRBench, a new framework for comprehensive benchmarking of sequential recommendation models using large language models for fair and accurate eval...
SemaCDR: LLM-Based Cross-Domain Sequential Recommendations
Discover SemaCDR, an LLM-powered framework enhancing cross-domain sequential recommendations with transferable semantics and adaptive fusion techniques.
TRU: Efficient Multimodal Recommendation Unlearning Method
Discover TRU, a targeted reverse update framework enhancing efficiency in multimodal recommendation unlearning with superior retain-forget balance.
TME-PSR: Advanced Time-Aware Multi-Interest Sequential Recommendations
Discover TME-PSR, a model enhancing sequential recommendations with time-awareness, multi-interest profiling, and personalized explanations for better user...