Preference Analysis and Articles Recommendation based on Text Mining Techniques

碩士 === 國立雲林科技大學 === 資訊管理系 === 106 === IN THE INFORMATION AGE, THERE ARE VARIOUS TYPES OF NEW ARTICLES POSTED ON THE INTERNET EVERY DAY. THE NUMBER OF ARTICLES GROWS AT A RAPID SPEED SO THAT READERS HARDLY KEEP TRACK OF THE ARTICLES THEY MIGHT BE INTERESTED. IN THIS PAPER, WE PROPOSED AN APPROACH TO...

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Bibliographic Details
Main Authors: Chen, JIN-WEI, 陳勁瑋
Other Authors: Hsu, Chung-Chian
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/yk8b2n