Abstracts of Annual Conference of Japan Society for Management Information
Annual Conference of Japan Society for Management Information 2015 Autumn
Session ID : K1-8
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Abstract
Recommendation using Deep Learning
*Takuya OsadaTakashi Namatame
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Abstract

There are recommender systems to help make decisions of purchases. However, the existing algorithms of recommendation do not fully capture the customer's decision-making that was complicated by the current information society, because they simplify the customer's decision-making. Therefore, we need recommendations in consideration of complicated decision-making. On the other hand, the past few years, Deep Learning achieved in the field of image recognition and speech recognition. Using the Deep Learning, it can be expected that we'll be able to perform recommendations in consideration of complicated decision-making. In this study, we construct a recommendation algorithm using Deep Learning and evaluate its performance.

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© 2015 by Japan Society for Management Information
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