Dynamic Similarity Collaborative Filtering of Recommendation System
碩士 === 國立交通大學 === 資訊科學與工程研究所 === 101 === In the researches of Recommendation System, Collaborative Filtering is one of the most effective approaches. With high accuracy in recommendations, however, few researches focus on Dynamic Collaborative Filtering which considers the time influence in Collabor...
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Format: | Others |
Language: | en_US |
Published: |
2012
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Online Access: | http://ndltd.ncl.edu.tw/handle/20475132382030614965 |