330 citations · 358 across the 14 of their papers we have counts for
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cs.IR2016
Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering
Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov +2
Cold start problem in Collaborative Filtering can be solved by asking new users to rate a small seed set of representative items or by asking representative users to rate a new ite…
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…