A Data-Driven Imbalanced Classifying Method for Recommendation Systems
碩士 === 國立中正大學 === 電機工程研究所 === 105 === The main goal of a recommendation system is to suggest services or items that users like. However, the system suffers from the sparsity problem if the percentage of user feedbacks is very small in the historical database. The sparsity problem will have the effec...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2016
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| Online Access: | http://ndltd.ncl.edu.tw/handle/72743108023917816891 |