MovieLens-1M

A new dual-encoder transformer model, RetrievalFormer, can score new items from features alone, keeping a shared search-and-recommendation index open to cold items without retraining, according to an …

Researchers propose Cardinality-Decomposed Loss (CDL) to address a silent failure in Graph Neural Networks for heterogeneous recommendation graphs, where Bayesian Personalized Ranking (BPR) causes att…

A new framework called RouteRec, introduced in a preprint on arXiv, evaluates task-aware agent ranking under cost constraints for recommender systems, finding that item-level learned aggregation outpe…