Improve Rating Prediction Using Extended Deep Cooperative Neural Network and Reviews
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 107 === In recent years, collaborative filtering methods based on matrix factorization techniques have achieved great success in recommender systems, while cold-start and data sparsity have not solved well. Item reviews written by users have a large amount of informati...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2018
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| Online Access: | http://ndltd.ncl.edu.tw/handle/qc9e62 |