A social hypertext model for finding community in blogs
Proceedings of the seventeenth conference on Hypertext and hypermedia
Automatic Identification of Chinese Weblogger's Interests Based on Text Classification
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Detection of Bloggers' Interests: Using Textual, Temporal, and Interactive Features
WI '06 Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence
Discovering users' topics of interest on twitter: a first look
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
A recommender system based on tag and time information for social tagging systems
Expert Systems with Applications: An International Journal
Potential topics discovery from topic frequency transition with semi-supervised learning
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part II
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Blogs have been expanded at an incredible speed in recent years. Plentiful personal information makes blogs a popular way mining user profiles. In this paper, we propose a novel bloggers' interests modeling approach based on forgetting mechanism. A new forgetting function is introduced to track interest drift. Based on that, the Short Term Interest Models (STIM) and Long Term Interest Models (LTIM) are constructed to describe bloggers' short-term and long-term interests. The experiments show that both models can identify bloggers' preferences well respectively.