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Joint Representation Learning Model for Top-N Recommendation

posted Mar 4, 2018, 5:50 PM by Qingyao Ai
    The Web has accumulated a rich source of information, such as text, image, rating, etc, which represent different aspects of user preferences. In this work, we propose a Joint Representation Learning (JR
L) framework in which each type of information source (review text, product image, numerical rating, etc) is adopted to learn the corresponding user and item representations based on available (deep) representation learning architectures. [CIKM'17] [code]

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