13 citations · 13 across the 2 of their papers we have counts for
2 papers
cs.IR2026
Bridging the Semantic-Collaborative Gap: An Asymmetric Graph Architecture for Cold-Start Item Recommendation
Anh Truong, John Trenkle, Yuanbo Chen +4
Collaborative filtering and graph-based recommendation models are highly effective because they leverage observed user interactions, but this dependence creates a fundamental cold-…
cs.IR2023★ 13 cited
Beyond Labels: Leveraging Deep Learning and LLMs for Content Metadata
Saurabh Agrawal, John Trenkle, Jaya Kawale
Content metadata plays a very important role in movie recommender systems as it provides valuable information about various aspects of a movie such as genre, cast, plot synopsis, b…