arXiv:2008.10117
공식 코드 · Papers with Code
Collaborative Filtering under Model Uncertainty
원문 초록
In their work, Dean, Rich, and Recht create a model to research recourse and availability of items in a recommender system. We used the definition of predictive multiplicity by Marx, Pin Calmon, and Ustun to examine different variations of this model, using different values for two model parameters. Pairwise comparison of their models show, that most of these models produce very similar results in terms of discrepancy and ambiguity for the availability and only in some cases the availability sets differ significantly.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
ARERec: Attentive Local Interaction Model for Sequential Recommendation
NLGCL: Naturally Existing Neighbor Layers Graph Contrastive Learning for Recommendation
RAG-VisualRec: An Open Resource for Vision- and Text-Enhanced Retrieval-Augmented Generation in Recommendation
IRanker: Towards Ranking Foundation Model
Discrete Scale-invariant Metric Learning for Efficient Collaborative Filtering
RecGPT: A Foundation Model for Sequential Recommendation
토론
이 논문과 연결된 포럼 글이 아직 없습니다.