272 citations · 451 across the 9 of their papers we have counts for
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cs.IR2019★ 3 cited
Markov Random Fields for Collaborative Filtering
Harald Steck
In this paper, we model the dependencies among the items that are recommended to a user in a collaborative-filtering problem via a Gaussian Markov Random Field (MRF). We build upon…
cs.IR2019★ 272 cited
Embarrassingly Shallow Autoencoders for Sparse Data
Harald Steck
Combining simple elements from the literature, we define a linear model that is geared toward sparse data, in particular implicit feedback data for recommender systems. We show tha…
cs.IR2019★ 12 cited
Collaborative Filtering via High-Dimensional Regression
Harald Steck
While the SLIM approach obtained high ranking-accuracy in many experiments in the literature, it is also known for its high computational cost of learning its parameters from data.…