4.4k citations · 4.6k across the 16 of their papers we have counts for
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cs.IR2021★ 2 cited
Revisiting the Performance of iALS on Item Recommendation Benchmarks
Steffen Rendle, Walid Krichene, Li Zhang +1
Matrix factorization learned by implicit alternating least squares (iALS) is a popular baseline in recommender system research publications. iALS is known to be one of the most com…
cs.IR2021★ 2 cited
Item Recommendation from Implicit Feedback
Steffen Rendle
The task of item recommendation is to select the best items for a user from a large catalogue of items. Item recommenders are commonly trained from implicit feedback which consists…