Next Basket Recommendation Systems for Customers based on Doc2Vec Embedding Model
碩士 === 國立高雄第一科技大學 === 資訊管理系碩士班 === 106 === This study proposes a vector based recommender system to improve the accuracy of the traditional recommender systems. We treat items as words, users’ shopping baskets as sentences, and users’ shopping sequences as articles, then train the Doc2Vec model. A u...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/vc325a |