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» Language intent models for inferring user browsing behavior
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WWW
2010
ACM
13 years 11 months ago
Exploring searcher interactions for distinguishing types of commercial intent
An improved understanding of the relationship between search intent, result quality, and searcher behavior is crucial for improving the effectiveness of web search. While recent p...
Qi Guo, Eugene Agichtein
ICCPOL
2009
Springer
13 years 11 months ago
Dialogue Strategies to Overcome Speech Recognition Errors in Form-Filling Dialogue
Abstract. In a spoken dialogue system, the speech recognition performance accounts for the largest part of the overall system performance. Yet spontaneous speech recognition has an...
Sangwoo Kang, Songwook Lee, Jungyun Seo
OTM
2005
Springer
13 years 10 months ago
OWL-Based User Preference and Behavior Routine Ontology for Ubiquitous System
In ubiquitous computing, behavior routine learning is the process of mining the context-aware data to find interesting rules on the user’s behavior, while preference learning tri...
Kim Anh Pham Ngoc, Young-Koo Lee, Sungyoung Lee
WEBI
2009
Springer
13 years 11 months ago
In the Mood to Click? Towards Inferring Receptiveness to Search Advertising
Abstract—We present a method for modeling, and automatically inferring, the current interest of a user in search advertising. Our task is complementary to that of predicting ad r...
Qi Guo, Eugene Agichtein, Charles L. A. Clarke, Az...
WSDM
2009
ACM
178views Data Mining» more  WSDM 2009»
13 years 11 months ago
User Browsing Graph: Structure, Evolution and Application
This paper focuses on ‘user browsing graph’ which is constructed with users’ click-through behavior modeled with Web access logs. User browsing graph has recently been adopt...
Yiqun Liu, Min Zhang, Shaoping Ma, Liyun Ru