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View all- Roy SKumar ASuresh Kumar R(2024)Metadata and Review-Based Hybrid Apparel Recommendation System Using Cascaded Large Language ModelsIEEE Access10.1109/ACCESS.2024.346279312(140053-140071)Online publication date: 2024
The reasoning and generalization capabilities of LLMs can help us better understand user preferences and item characteristics, offering exciting prospects to enhance recommendation systems. Though effective while user-item interactions are abundant, ...
Recommendation system serves as a conduit connecting users to an incredibly large, diverse and ever growing collection of contents. In practice, missing information on fresh (and tail) contents needs to be filled in order for them to be exposed and ...
Content-aware recommendation approaches are essential for providing meaningful recommendations for new (i.e.,cold-start) items in a recommender system. We present a content-aware neural hashing-based collaborative filtering approach (NeuHash-CF), which ...
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