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SIGIR
2010
ACM
15 years 1 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
WWW
2011
ACM
14 years 4 months ago
Identifying primary content from web pages and its application to web search ranking
Web pages are usually highly structured documents. In some documents, content with different functionality is laid out in blocks, some merely supporting the main discourse. In ot...
Srinivas Vadrevu, Emre Velipasaoglu
ICTIR
2009
Springer
15 years 4 months ago
"A term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback
Abstract. It is well known that pseudo-relevance feedback (PRF) improves the retrieval performance of Information Retrieval (IR) systems in general. However, a recent study by Cao ...
Raghavendra Udupa, Abhijit Bhole, Pushpak Bhattach...
NORDICHI
2006
ACM
15 years 3 months ago
The FaceReader: measuring instant fun of use
Recently, more and more attention has been paid to emotions in the domain of Human-Computer Interaction. When evaluating a product, one can no longer ignore the emotions a product...
Bieke Zaman, Tara Shrimpton-Smith
IROS
2008
IEEE
258views Robotics» more  IROS 2008»
15 years 4 months ago
3D active appearance model for aligning faces in 2D images
Abstract— Perceiving human faces is one of the most important functions for human robot interaction. The active appearance model (AAM) is a statistical approach that models the s...
Chun-Wei Chen, Chieh-Chih Wang