815 citations · 3.2k across the 142 of their papers we have counts for
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cs.LG2016★ 19 cited
Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks
Evgeny Frolov, Ivan Oseledets
Conventional collaborative filtering techniques treat a top-n recommendations problem as a task of generating a list of the most relevant items. This formulation, however, disregar…
cs.LG2016
Tensor Methods and Recommender Systems
Evgeny Frolov, Ivan Oseledets
A substantial progress in development of new and efficient tensor factorization techniques has led to an extensive research of their applicability in recommender systems field. Ten…