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.IR2026
TubiFM: Unified Item, Carousel, and Search Ranking for Streaming Discovery
Alexandre Salle, Chenglei Niu, Suchismit Mahapatra +7
Personalized discovery systems often train separate models for item ranking, carousel ranking, and search, even though these tasks expose complementary signals from the same viewer…