A Study of Collaborative Filtering Recommendation Approaches based on Trust Network
碩士 === 國立交通大學 === 管理學院資訊管理學程 === 100 === Recommender systems are successfully applied to many fields. Items that users may be interested in are recommended automatically. Therefore, users can quickly obtain personalized information from huge data and avoid information overloading. Among recommendati...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2012
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| Online Access: | http://ndltd.ncl.edu.tw/handle/74956432119771320206 |