Product Recommendation Based on Follow Influence Analysis
碩士 === 國立交通大學 === 資訊管理研究所 === 101 === With its flourishing development of Web 2.0, people not only passively receive the information, but actively share the information with others by web 2.0 technology. Yet, for people, there is the information overload problem to filter the explosive information...
Main Authors: | , |
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Other Authors: | |
Format: | Others |
Language: | en_US |
Published: |
2013
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Online Access: | http://ndltd.ncl.edu.tw/handle/32666628455481501832 |