Social-based Adjustment Recommender System－ Increasing Recommendation Accuracy by Combining Friends’ Opinions with User-based Collaborative Filtering
碩士 === 國立臺灣大學 === 資訊管理學研究所 === 98 === Recommender system has been studied for many years. The basic types of recommender system are: content-based, collaborative filtering, and hybrid approach. Recently, with the prosperity of social network, many studies begin to notice that the recommendation...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2010
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| Online Access: | http://ndltd.ncl.edu.tw/handle/87618286491567452426 |