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96
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ACL
2010
15 years 1 months ago
Comparable Entity Mining from Comparative Questions
Comparing one thing with another is a typical part of human decision making process. However, it is not always easy to know what to compare and what are the alternatives. To addre...
Shasha Li, Chin-Yew Lin, Young-In Song, Zhoujun Li
135
Voted
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 6 months ago
eTrust: understanding trust evolution in an online world
Most existing research about online trust assumes static trust relations between users. As we are informed by social sciences, trust evolves as humans interact. Little work exists...
Jiliang Tang, Huan Liu, Huiji Gao, Atish Das Sarma...
133
Voted
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
111
Voted
KDD
2006
ACM
146views Data Mining» more  KDD 2006»
16 years 4 months ago
Structure and evolution of online social networks
In this paper, we consider the evolution of structure within large online social networks. We present a series of measurements of two such networks, together comprising in excess ...
Ravi Kumar, Jasmine Novak, Andrew Tomkins
133
Voted
WWW
2007
ACM
16 years 4 months ago
Modeling user behavior in recommender systems based on maximum entropy
We propose a model for user purchase behavior in online stores that provide recommendation services. We model the purchase probability given recommendations for each user based on...
Tomoharu Iwata, Kazumi Saito, Takeshi Yamada