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ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 9 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
PAKDD
2010
ACM
172views Data Mining» more  PAKDD 2010»
15 years 9 months ago
Semi-supervised Tag Recommendation - Using Untagged Resources to Mitigate Cold-Start Problems
Tag recommender systems are often used in social tagging systems, a popular family of Web 2.0 applications, to assist users in the tagging process. But in cold-start situations i.e...
Christine Preisach, Leandro Balby Marinho, Lars Sc...
KDD
2009
ACM
179views Data Mining» more  KDD 2009»
15 years 9 months ago
A viewpoint-based approach for interaction graph analysis
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
Sitaram Asur, Srinivasan Parthasarathy
KDD
1998
ACM
165views Data Mining» more  KDD 1998»
15 years 8 months ago
Daily Prediction of Major Stock Indices from Textual WWW Data
We predict stock markets using information containedin articles published on the Web. Mostly textual articles appearingin the leading and the most influential financial newspapers...
Beat Wüthrich, D. Permunetilleke, S. Leung, V...
KDD
2010
ACM
244views Data Mining» more  KDD 2010»
15 years 8 months ago
Connecting the dots between news articles
The process of extracting useful knowledge from large datasets has become one of the most pressing problems in today’s society. The problem spans entire sectors, from scientists...
Dafna Shahaf, Carlos Guestrin