Simultaneous co-clustering and learning to address the cold start problem in recommender systems

    Knowledge-Based Systems, Volume 82, Issue C, 2015, Pages 11-19.

    Cited by: 69|Bibtex|Views21|Links
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    Abstract:

    Recommender Systems (RSs) are powerful and popular tools for e-commerce. To build their recommendations, RSs make use of varied data sources, which capture the characteristics of items, users, and their transactions. Despite recent advances in RS, the cold start problem is still a relevant issue that deserves further attention, and arises...More

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