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» Probabilistic User Behavior Models
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UAI
2003
14 years 11 months ago
Collaborative Ensemble Learning: Combining Collaborative and Content-Based Information Filtering via Hierarchical Bayes
Collaborative filtering (CF) and contentbased filtering (CBF) have widely been used in information filtering applications, both approaches having their individual strengths and...
Kai Yu, Anton Schwaighofer, Volker Tresp, Wei-Ying...
AGENTS
1997
Springer
15 years 2 months ago
A Methodology for Building Believable Social Agents
Believable agents are defined to be interactive versions of quality characters in traditional artistic media like film. Such agents are useful in applications such as interactive ...
W. Scott Neal Reilly
WWW
2005
ACM
15 years 11 months ago
Analysis of topic dynamics in web search
We report on a study of topic dynamics for pages visited by a sample of people using MSN Search. We examine the predictive accuracies of probabilistic models of topic transitions ...
Xuehua Shen, Susan T. Dumais, Eric Horvitz
SIGSOFT
2006
ACM
15 years 11 months ago
Scenarios, goals, and state machines: a win-win partnership for model synthesis
Models are increasingly recognized as an effective means for elaborating requirements and exploring designs. For complex systems, model building is far from an easy task. Efforts ...
Christophe Damas, Bernard Lambeau, Axel van Lamswe...
93
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RECSYS
2009
ACM
15 years 4 months ago
Ordering innovators and laggards for product categorization and recommendation
Different buyers exhibit different purchasing behaviors. Some rush to purchase new products while others tend to be more cautious, waiting for reviews from people they trust. In...
Sarah K. Tyler, Shenghuo Zhu, Yun Chi, Yi Zhang