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» Learning to rank for information retrieval (LR4IR 2008)
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WWW
2008
ACM
16 years 6 months ago
Recommending questions using the mdl-based tree cut model
The paper is concerned with the problem of question recommendation. Specifically, given a question as query, we are to retrieve and rank other questions according to their likelih...
Yunbo Cao, Huizhong Duan, Chin-Yew Lin, Yong Yu, H...
SIGIR
2008
ACM
15 years 6 months ago
Improving biomedical document retrieval using domain knowledge
Research articles typically introduce new results or findings and relate them to knowledge entities of immediate relevance. However, a large body of context knowledge related to t...
Shuguang Wang, Milos Hauskrecht
WACV
2008
IEEE
16 years 16 days ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert
ESWS
2008
Springer
15 years 8 months ago
Enhancing Semantic Search using N-Levels Document Representation
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: For a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
WWW
2008
ACM
16 years 6 months ago
Which "Apple" are you talking about ?
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Mandar Rahurkar, Dan Roth, Thomas S. Huang