In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Millions of users retrieve information from the Internet using search engines. Mining these user sessions can provide valuable information about the quality of user experience and...
The debate within the Web community over the optimal means by which to organize information often pits formalized classifications against distributed collaborative tagging systems...
The asymmetry of activity in virtual communities is of great interest. While participation in the activities of virtual communities is crucial for a community's survival and ...
Major search engines currently use the history of a user's actions (e.g., queries, clicks) to personalize search results. In this paper, we present a new personalized service...