A study on personalized of important post and comment in social network

碩士 === 國立高雄應用科技大學 === 資訊工程系 === 101 === In recent years, the rapid development of the network, internet has become an indispensable part of people's lives, with the internet into everyone's lives, people communicate, access information tools, gradually by letter, telephone, mobile phone, i...

Full description

Bibliographic Details
Main Authors: Yu-Jhih Huang, 黃育智
Other Authors: Chun-Yuan Hsiao
Format: Others
Language:zh-TW
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/89024186784669479409
Description
Summary:碩士 === 國立高雄應用科技大學 === 資訊工程系 === 101 === In recent years, the rapid development of the network, internet has become an indispensable part of people's lives, with the internet into everyone's lives, people communicate, access information tools, gradually by letter, telephone, mobile phone, into a network, Social Networks also emerged, internet has a huge number of users, and the user also has a complex link between relationships of these complex relationships constitute a social network. The birth of social networks which is to become the communication between people, contacts and exchanges in an emotional tool, and in a large number of links on social networks will bring a lot of information between intelligence, and how to find the most important information from a lot of data is the main objective of our study. We study focused on Facebook, Facebook present in everyone's life occupy a lot of use, Facebook has a large membership, Facebook users can post articles on Facebook and respond to the above article, if the response to its articles or articles showing affection can also press the "Like" (Like), previous studies carried out for the title of the article or the content or the article click rate and respond to popular to do research; We will respond to the text content of the article as well as the content of their articles for hyphenation analyze the degree of importance, and considered the most important social networks on the relationship between users, the interaction between users of different intensity will produce a link to recalculate the importance of articles in order to identify important articles and palindromes.