most citedFusing Similarity Models with Markov Chains for Sparse Sequential Recommendation

95 citations · 95 across the 1 of their papers we have counts for

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cs.IR2016★ 95 cited

Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation

Ruining He, Julian McAuley

Predicting personalized sequential behavior is a key task for recommender systems. In order to predict user actions such as the next product to purchase, movie to watch, or place t…