The Real-time Updating Problem for Recommendation Systems with Implicit Feedback
碩士 === 國立交通大學 === 電信工程研究所 === 103 === With the prosperity of e-commerce, online vendors use the recommendation systems in different fields. Classic algorithms for data analysis, such as cosine-similarity, user-based collaborative filtering, are designed assuming that data are stationary and will not...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2015
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| Online Access: | http://ndltd.ncl.edu.tw/handle/umq5rr |