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Statistical biases in Information Retrieval metrics for recommender systems

, , and . Information Retrieval Journal, 20 (6): 606--634 (Dec 1, 2017)
DOI: 10.1007/s10791-017-9312-z

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A multilayer ontology-based hybrid recommendation model., , and . AI Commun., 21 (2-3): 203-210 (2008)Understanding Similarity Metrics in Neighbour-based Recommender Systems., and . ICTIR, page 13. ACM, (2013)Reenvisioning Collaborative Filtering vs Matrix Factorization., , , and . CoRR, (2021)Relating Personality Types with User Preferences in Multiple Entertainment Domains., , and . UMAP Workshops, volume 997 of CEUR Workshop Proceedings, CEUR-WS.org, (2013)Self-adjusting hybrid recommenders based on social network analysis., , and . SIGIR, page 1147-1148. ACM, (2011)Personalized recommendations in e-participation: offline experiments for the 'Decide Madrid' platform., , , and . CitRec@RecSys, page 5:1-5:6. ACM, (2017)On the robustness and discriminative power of information retrieval metrics for top-N recommendation., , , and . RecSys, page 260-268. ACM, (2018)Precision-oriented evaluation of recommender systems: an algorithmic comparison., , and . RecSys, page 333-336. ACM, (2011)Top-N Recommendation Algorithms: A Quest for the State-of-the-Art., , , , and . UMAP, page 121-131. ACM, (2022)Adherence and Constancy in LIME-RS Explanations for Recommendation (Long paper)., , , , , and . KaRS/ComplexRec@RecSys, volume 2960 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)