Improving Cold-Start Recommendation with a Cross-Site User Interest Transfer Model
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === In this work, we attempt to transfer user interests across websites for cold-start recommendation. Both rating-based and text-based recommender systems may suffer from the cold-start problem. One effective way to ease the cold-start problem is to introduce auxi...
| 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/34663212774729601465 |