IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Information System, Electronic Commerce>
Apparel Goods Recommender System Using image feature
Yufeng DuanRyosuke Saga
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2020 Volume 140 Issue 1 Pages 93-99

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Abstract

Recommender system is an information-filtering tool used in solving the problem that the user's preference in information overload. In recent years, with the development of deep learning, more and more research has begun to try the combination of deep learning and recommender system, and achieved good results. In this paper, we propose a novel probabilistic model. This model integrates a deep neural network model for extracting image shape features into the apparel goods recommender system to achieve good performance.

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© 2020 by the Institute of Electrical Engineers of Japan
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