Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 232,061,907 papers from all fields of science
Search
Sign In
Create Free Account
Web query classification
Known as:
Query categorization
, Web query categorization
, Web query topic classification
Expand
A Web query topic classification/categorization is a problem in information science. The task is to assign a Web search query to one or more…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
8 relations
Categorization
Document classification
Information retrieval
Information science
Expand
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Review
2013
Review
2013
Overview of the NTCIR-10 1CLICK-2 Task
Makoto P. Kato
,
Matthew Ekstrand-Abueg
,
Virgil Pavlu
,
T. Sakai
,
Takehiro Yamamoto
,
Mayu Iwata
NTCIR Conference on Evaluation of Information…
2013
Corpus ID: 11451641
This is an overview of the NTCIR-10 1CLICK-2 task (the second One Click Access task). Given a search query, 1CLICK aims to…
Expand
2011
2011
Web knowledge and Wordnet based Automatic Web Query Classification
Lovelyn Rose
,
K. R. Chandran
,
Ted Pedersen
,
Siddharth Patwardhan
,
Jason Michelizzi
2011
Corpus ID: 10114620
search queries are the starting point to access the contents in the WWW for most of the users. Capturing the user intent behind a…
Expand
2009
2009
Gazpacho and summer rash: lexical relationships from temporal patterns of web search queries
Enrique Alfonseca
,
Massimiliano Ciaramita
,
Keith B. Hall
Conference on Empirical Methods in Natural…
2009
Corpus ID: 8459419
In this paper we investigate temporal patterns of web search queries. We carry out several evaluations to analyze the properties…
Expand
2009
2009
Cross-language query classification using web search for exogenous knowledge
Xuerui Wang
,
A. Broder
,
E. Gabrilovich
,
V. Josifovski
,
B. Pang
Web Search and Data Mining
2009
Corpus ID: 7546313
The non-English Web is growing at phenomenal speed, but available language processing tools and resources are predominantly…
Expand
Review
2009
Review
2009
Database Support for Automatic Web Queries Categorization
Ernestina Menasalvas Ruiz
,
S. Garcia
2009
Corpus ID: 54152190
The increasing usage of web search engines together with the potential added value of knowing user interests when submitting a…
Expand
2008
2008
Methods for combining Content-based and Textual-based Approaches in Medical Image Retrieval
M. Khemakhem
,
K. Pinel-Sauvagnat
,
M. Boughanem
Conference and Labs of the Evaluation Forum
2008
Corpus ID: 12348374
This paper describes our participation to the Medical Image Retrieval task of Image CLEF 2008. Our aim was to evaluate different…
Expand
2007
2007
Using Web Search Logs to Identify Query Classification Terms
Isak Taksa
,
Sarah Zelikovitz
,
A. Spink
International Conference on Information…
2007
Corpus ID: 18287998
Classification of search queries is a complex and computationally challenging task. Typically, search queries are short, reveal…
Expand
2007
2007
Automatic Query Type Classification for Web Image Retrieval
Keke Cai
,
Jiajun Bu
,
Chun Chen
,
Peng Huang
International Conference on Multimedia and…
2007
Corpus ID: 27512488
In this paper, a framework of query classification is proposed for text-based image retrieval. The classification process in this…
Expand
2004
2004
Analyzing the Effect of Query Class on Document Retrieval Performance
Paweł Kowalczyk
,
Ingrid Zukerman
,
M. Niemann
Australian Conference on Artificial Intelligence
2004
Corpus ID: 15751183
Analysis of queries posed to open-domain question-answering systems indicates that particular types of queries are dominant, e.g…
Expand
2003
2003
Content-Aware DataGuides for Indexing Large Collections of XML Documents
Felix Weigel
,
H. Meuss
,
François Bry
,
K. Schulz
2003
Corpus ID: 15004874
XML is well-suited for modelling structured data with textual content. However, most indexing approaches perform structure and…
Expand
By clicking accept or continuing to use the site, you agree to the terms outlined in our
Privacy Policy
(opens in a new tab)
,
Terms of Service
(opens in a new tab)
, and
Dataset License
(opens in a new tab)
ACCEPT & CONTINUE