Free Reads
Sign in to view your remaining parses.
Tag Filter
Quantitative Language Generation Tasks
Multimodal Quantitative Language for Generative Recommendation
Published:2/20/2025
Multimodal Generative Recommendation SystemQuantitative Language Generation TasksKnowledge Transfer in Recommendation SystemsApplication of Pre-trained Language Models in RecommendationMultimodal Information Complementarity
This paper introduces MQL4GRec, a method that converts items from various domains and modalities into a unified 'quantitative language' to address cold start issues and knowledge transfer in recommendation systems, achieving NDCG improvements of up to 14.82% over baseline models.
05
MULTIMODAL QUANTITATIVE LANGUAGE FOR GENERATIVE RECOMMENDATION
Published:2/20/2025
Generative Recommendation SystemsMultimodal Knowledge TransferPre-trained Models in RecommendationQuantitative Language Generation TasksRecommendation Performance Improvement
The MQL4GRec framework addresses limitations in generative recommendation systems by transforming item text and images into a unified 'quantitative language', enabling effective crossmodal knowledge transfer. Experiments show significant NDCG improvements, with gains up to 14.82
02