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ACL
2008
13 years 10 months ago
Learning Document-Level Semantic Properties from Free-Text Annotations
This paper demonstrates a new method for leveraging unstructured annotations to infer semantic document properties. We consider the domain of product reviews, which are often anno...
S. R. K. Branavan, Harr Chen, Jacob Eisenstein, Re...
CIKM
2011
Springer
12 years 9 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
ICML
1998
IEEE
14 years 9 months ago
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting
In a recent paper, Friedman, Geiger, and Goldszmidt [8] introduced a classifier based on Bayesian networks, called Tree Augmented Naive Bayes (TAN), that outperforms naive Bayes a...
Moisés Goldszmidt, Nir Friedman, Thomas J. ...
TAL
2010
Springer
13 years 7 months ago
Concept Based Representations for Ranking in Geographic Information Retrieval
Abstract. Geographic Information Retrieval (GIR) is a specialized Information Retrieval (IR) branch that deals with information related to geographical locations. Traditional IR en...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
PERSUASIVE
2009
Springer
14 years 3 months ago
A behavior model for persuasive design
This paper presents a new model for understanding human behavior. In this model (FBM), behavior is a product of three factors: motivation, ability, and triggers, each of which has...
B. J. Fogg