389 citations · 2.3k across the 33 of their papers we have counts for
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cs.IR2013★ 127 cited
Using Temporal Data for Making Recommendations
Andrew Zimdars, David Maxwell Chickering, Christopher Meek
We treat collaborative filtering as a univariate time series estimation problem: given a user's previous votes, predict the next vote. We describe two families of methods for trans…
cs.IR2013★ 4 cited
CFW: A Collaborative Filtering System Using Posteriors Over Weights Of Evidence
Carl Kadie, Christopher Meek, David Heckerman
We describe CFW, a computationally efficient algorithm for collaborative filtering that uses posteriors over weights of evidence. In experiments on real data, we show that this met…