Fast Recommendation on Latent Collaborative Relations
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 103 === Matrix factorization (MF) methods provide one of the most effective approaches to collaborative filtering. Its main idea is that according to the behavior patterns of people, we can learn the latent factors behind these patterns. Those factors can help up to...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2014
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| Online Access: | http://ndltd.ncl.edu.tw/handle/56121053897792451926 |