Title :
Mining User Interests from Web History
Author_Institution :
Dept. of Comput. Eng., Coll. of Eng., Pune, India
Abstract :
A user´s web history provides a rich source of information regarding her temporally varying interests. In this paper, we develop a technique to extract and rank user interests from web history. Our approach is based on calculating the overall ´spread´ of times at which the keyword was accessed to identify importance.
Keywords :
Internet; data mining; Web history; keyword; user interest extraction; user interest mining; user interest ranking; Electronic publishing; Encyclopedias; History; Internet; Prediction algorithms; Vegetation; Interest Mining; Web History;
Conference_Titel :
Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013 IEEE/WIC/ACM International Joint Conferences on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4799-2902-3
DOI :
10.1109/WI-IAT.2013.198
