A Sequential Embedding Approach for Item Recommendation with Heterogeneous Attributes

28 May 2018Kuan LiuXing ShiPrem Natarajan

Attributes, such as metadata and profile, carry useful information which in principle can help improve accuracy in recommender systems. However, existing approaches have difficulty in fully leveraging attribute information due to practical challenges such as heterogeneity and sparseness... (read more)

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