'Free lunch' enhancement for collaborative filtering with factorization machines

RecSys, pp. 281-284, 2014.

Cited by: 10|Views34
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Abstract:

The advantage of Factorization Machines over other factorization models is their ability to easily integrate and efficiently exploit auxiliary information to improve Collaborative Filtering. Until now, this auxiliary information has been drawn from external knowledge sources beyond the user-item matrix. In this paper, we demonstrate that ...More

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