Wine Recommendation System Using the Optimum Degree of Similarity

Title : Wine Recommendation System Using the Optimum Degree of Similarity
Journal : Advanced Science Letters
Authors : JungYeon Seo, HwaMin Lee
Corresponding author : HwaMin Lee

Recently, South Korea’s drinking culture is changing. Not to take drinking, drink to enjoy the atmosphere. There is an increasing consumption of wine to enjoy wine. The taste of the wine is determined by breed, vintage, etc. Wine of the latest trends is a good assessment of the quality, grade, and in particular the lower price. In this paper, to find similar users, based on the evaluation of wine. And we are using a collaborative filtering to recommend the wine that users prefer. To distributed storage of wine data and shorten to analysis time. By adding a weighting element to the system, it is possible to obtain a more accurate recommendation.

This research was supported by the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2014-0-00720) supervised by the IITP (Institute for Information and communications Technology Promotion). Basic Science Research Program through the National Research Foundation of Korea (NRF) funed by the Minisry of Science. ICT and Future Planning (NRF-2017R1A2B4010570) and Soonchunhyang University Research Fund.