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A MapReduce implementation of posterior probability clustering and relevance models for recommendation.

, , and . Eng. Appl. Artif. Intell., (2018)

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A MapReduce implementation of posterior probability clustering and relevance models for recommendation., , and . Eng. Appl. Artif. Intell., (2018)Finding and analysing good neighbourhoods to improve collaborative filtering., , and . Knowl. Based Syst., (2018)Novel and Diverse Recommendations by Leveraging Linear Models with User and Item Embeddings., , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 215-222. Springer, (2020)The wisdom of the rankers: a cost-effective method for building pooled test collections without participant systems., , and . SAC, page 672-680. ACM, (2021)BDI-Sen: A Sentence Dataset for Clinical Symptoms of Depression., , , and . SIGIR, page 2996-3006. ACM, (2023)Beaver: Efficiently Building Test Collections for Novel Tasks., , and . CIRCLE, volume 2621 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Automatic depression score estimation with word embedding models., , and . Artif. Intell. Medicine, (2022)Axiomatic Analysis of Language Modelling of Recommender Systems., , and . International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 25 (Supplement-2): 113-128 (2017)LiMe: linear methods for pseudo-relevance feedback., , and . SAC, page 678-687. ACM, (2018)Shallow Neural Models for Top-N Recommendation., , , and . ECAI, volume 325 of Frontiers in Artificial Intelligence and Applications, page 2911-2912. IOS Press, (2020)