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» A probabilistic method for inferring preferences from clicks
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SIGIR
2006
ACM
14 years 1 months ago
Learning user interaction models for predicting web search result preferences
Evaluating user preferences of web search results is crucial for search engine development, deployment, and maintenance. We present a real-world study of modeling the behavior of ...
Eugene Agichtein, Eric Brill, Susan T. Dumais, Rob...
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
14 years 10 days ago
Item Preference Parameters from Grouped Ranking Observations
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
Hideitsu Hino, Yu Fujimoto, Noboru Murata
ACNS
2010
Springer
145views Cryptology» more  ACNS 2010»
13 years 11 months ago
A Hybrid Method to Detect Deflation Fraud in Cost-Per-Action Online Advertising
Abstract. Web advertisers prefer the cost-per-action (CPA) advertisement model whereby an advertiser pays a web publisher according to the actual amount of transactions, rather tha...
Xuhua Ding
EMNLP
2009
13 years 5 months ago
A Structural Support Vector Method for Extracting Contexts and Answers of Questions from Online Forums
This paper addresses the issue of extracting contexts and answers of questions from post discussion of online forums. We propose a novel and unified model by customizing the struc...
Wen-Yun Yang, Yunbo Cao, Chin-Yew Lin
AAAI
2006
13 years 9 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos