Augmenting Item Exposure in Collaborative Filtering
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 103 === New items, e.g., mobile apps and movies, have been growing so fast that most of them cannot get discovered in a recommendation system. We propose a two-stage approach to appropriately promote new items. Different from pre- vious works on Collaborative Filtering...
| 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/84760829000459962775 |