Transfer Learning for Content-Based Recommender Systems using Tree Matching

15 May 2013Naseem BiadsyLior RokachArmin Shmilovici

In this paper we present a new approach to content-based transfer learning for solving the data sparsity problem in cases when the users' preferences in the target domain are either scarce or unavailable, but the necessary information on the preferences exists in another domain. We show that training a system to use such information across domains can produce better performance... (read more)

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