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...

Full description

Bibliographic Details
Main Authors: Yeh, Chi-Hao, 葉旂豪
Other Authors: Liu, Duen-Ren
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/32666628455481501832

Similar Items