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» Term Ranking for Clustering Web Search Results
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IMC
2006
ACM
15 years 4 months ago
Web search clickstreams
Search engines are a vital part of the Web and thus the Internet infrastructure. Therefore understanding the behavior of users searching the Web gives insights into trends, and en...
Nils Kammenhuber, Julia Luxenburger, Anja Feldmann...
SIGIR
2008
ACM
14 years 10 months ago
Directly optimizing evaluation measures in learning to rank
One of the central issues in learning to rank for information retrieval is to develop algorithms that construct ranking models by directly optimizing evaluation measures used in i...
Jun Xu, Tie-Yan Liu, Min Lu, Hang Li, Wei-Ying Ma
CIKM
2010
Springer
14 years 8 months ago
Context modeling for ranking and tagging bursty features in text streams
Bursty features in text streams are very useful in many text mining applications. Most existing studies detect bursty features based purely on term frequency changes without takin...
Wayne Xin Zhao, Jing Jiang, Jing He, Dongdong Shan...
ACL
2009
14 years 8 months ago
The Impact of Query Refinement in the Web People Search Task
Searching for a person name in a Web Search Engine usually leads to a number of web pages that refer to several people sharing the same name. In this paper we study whether it is ...
Javier Artiles, Julio Gonzalo, Enrique Amigó...
CVPR
2012
IEEE
13 years 16 days ago
WhittleSearch: Image search with relative attribute feedback
We propose a novel mode of feedback for image search, where a user describes which properties of exemplar images should be adjusted in order to more closely match his/her mental m...
Adriana Kovashka, Devi Parikh, Kristen Grauman