CSRS: A Context and Sequence Aware Recommendation System

Abstract

The effectiveness of recommendation systems is improving with the incorporation of richer context. The frequentist recommendation methods such as Markov models are not efficient in simultaneous use of context and preference sequences over items due to state space explosion. On the other end, abstractionist models such as Matrix Factorization where each item… (More)
DOI: 10.1145/3015157.3015159

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