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The vast body of reviews for individual items makes it difficult for users to extract useful information. And the opinions expressed by these users can be easily influenced through the communication services provided by the E-Commerce systems. A number of works are proposed for information extraction from a large review corpora, and these techniques may release users from the tiresome task of reading...
Nowadays, growing number of social networks are available on the internet, with which users can conveniently make friends, share information, and exchange ideas with each other. As the result, large amount of data are generated from activities of those users. Such data are regarded as valuable resources to support different mining tasks, such as predicting friends for a user, ranking users in terms...
In general, users may influence each other by their activities in social networks. It is interesting to explore hidden relationships of users based on their social activities. In this paper, we define and study a novel community detection problem that is to discover the hidden community structure in large social networks based on their common interests. We observe that the users typically pay more...
With the advance of the Internet, e-commerce systems have become extremely important and convenient to human being. More and more products are sold on the web, and more and more people are purchasing products online. As a result, an increasing number of customers post product reviews at merchant websites and express their opinions and experiences in any network space such as Internet forums, discussion...
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