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Ukiyo-e recommender system using restricted boltzmann machine

Published:04 December 2017Publication History

ABSTRACT

In this study, we implement an Ukiyo-e recommender system based on a restricted Boltzmann machine (RBM) for recommending Ukiyo-e prints to Ukiyo-e novices. This system can solve the problem of searching Ukiyo-e prints using keywords that are known only to Ukiyo-e experts. This system thus enables even an Ukiyo-e novice to obtain appropriate Ukiyo-e prints based on his interests. The user selects his interests amongst the few prints that are displayed initially. Then, with the use of an RBM, the system can find prints that match the user's interests. It can reconstruct the content information before making any recommendations.

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        cover image ACM Other conferences
        iiWAS '17: Proceedings of the 19th International Conference on Information Integration and Web-based Applications & Services
        December 2017
        609 pages
        ISBN:9781450352994
        DOI:10.1145/3151759

        Copyright © 2017 ACM

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        Publication History

        • Published: 4 December 2017

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