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» Clustering query refinements by user intent
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SIGMOD
2010
ACM
239views Database» more  SIGMOD 2010»
13 years 5 months ago
Call to order: a hierarchical browsing approach to eliciting users' preference
Computing preference queries has received a lot of attention in the database community. It is common that the user is unsure of his/her preference, so care must be taken to elicit...
Feng Zhao, Gautam Das, Kian-Lee Tan, Anthony K. H....
WWW
2008
ACM
14 years 5 months ago
Pivotbrowser: a tag-space image searching prototype
We propose a novel iterative searching and refining prototype for tagged images. This prototype, named PivotBrowser, captures semantically similar tag sets in a structure called p...
Xiaoyan Li, Lidan Shou, Gang Chen, Xiaolong Zhang,...
SIGIR
2012
ACM
11 years 7 months ago
Mining query subtopics from search log data
Most queries in web search are ambiguous and multifaceted. Identifying the major senses and facets of queries from search log data, referred to as query subtopic mining in this pa...
Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian...
JILT
2000
96views more  JILT 2000»
13 years 4 months ago
Automatic Classification and Intelligent Clustering for WWWeb Information Retrieval Systems
In this paper we present some aspects of an intelligent interface for a WWWeb legal information retrieval system. Our system is able to keep the context of the user interaction in...
Paulo Quaresma, Irene Pimenta Rodrigues
CIKM
2010
Springer
13 years 3 months ago
A structured approach to query recommendation with social annotation data
Query recommendation has been recognized as an important mean to help users search and also improve the usability of search engines. Existing approaches mainly focus on helping us...
Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen