Results 1 to 10 of about 267,481 (220)
Building bridges for web query classification [PDF]
Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, 2006 Web query classification (QC) aims to classify Web users' queries, which are often short and ambiguous, into a set of target categories. QC has many applications including page ranking in Web search, targeted advertisement in response to queries, and ...
Dou Shen +3 more
semanticscholar +4 more sources
Normalized Web Distance Based Web Query Classification [PDF]
Journal of Computer Science, 2012 Problem statement: The problem is to classify a given web query to a set of 67 target categories. The target categories are ranked based on the degree of similarity to a given query.
Lovelyn Rose S
semanticscholar +4 more sources
Query Topic Classification and Sociology of Web Query Logs [PDF]
Computación y Sistemas, 2015 In the paper, the objects, tasks, and a general procedure of the sociological analysis of Web search engine query logs are described and illustrated by a methodologically complete study of the cross-nation search image changes based on two-year spaced ...
Nikolai Buzikashvili
semanticscholar +4 more sources
Analysis of Varying Approaches to Topical Web Query Classification [PDF]
Proceedings of the Third International ICST Conference on Scalable Information Systems, 2008 Topical classification of web queries has drawn recent interest from forums such as the 2005 KDD Cup because of the promise it offers in improving retrieval effectiveness and efficiency.
Steven M. Beitzel +3 more
semanticscholar +3 more sources
Web knowledge and Wordnet based Automatic Web Query Classification
International Journal of Computer Applications, 2011 search queries are the starting point to access the contents in the WWW for most of the users. Capturing the user intent behind a query statement is crucial for any search engine and is equivalent to figuring out the category to which the query belongs ...
S. Lovelyn Rose, K. R. Chandran
semanticscholar +4 more sources
A Supervised Learning Algorithm for Binary Domain Classification of Web Queries using SERPs [PDF]
arXiv, 2016 General purpose Search Engines (SEs) crawl all domains (e.g., Sports, News, Entertainment) of the Web, but sometimes the informational need of a query is restricted to a particular domain (e.g., Medical). We leverage the work of SEs as part of our effort to route domain specific queries to local Digital Libraries (DLs).
Alexander C. Nwala, Michael L. Nelson
arxiv +8 more sources
Query enrichment for web-query classification [PDF]
ACM Transactions on Information Systems, 2006 Web-search queries are typically short and ambiguous. To classify these queries into certain target categories is a difficult but important problem. In this article, we present a new technique called query enrichment, which takes a short query and maps ...
Dou Shen +6 more
semanticscholar +4 more sources
Cross-language query classification using web search for exogenous knowledge [PDF]
Proceedings of the Second ACM International Conference on Web Search and Data Mining, 2009 The non-English Web is growing at phenomenal speed, but available language processing tools and resources are predominantly English-based. Taxonomies are a case in point: while there are plenty of commercial and non-commercial taxonomies for the English ...
Xuerui Wang +4 more
semanticscholar +4 more sources
Automatic Query Reformulation Using Classification in Web Searching
International Journal of Computer Science and Informatics, 2012 The search query is a set of words or phrases a user enters when looking for information on a specific topic or subject. Formulating a search query is a challenging task for most of users because they are required to express their anomalous states of knowledge.
R. M. Suresh, Kurmachalam Ajay Kumar
openalex +2 more sources
Analysis and automatic classification of web search queries for diversification requirements [PDF]
Proceedings of the American Society for Information Science and Technology, 2012 AbstractSearch result diversification enables the modern day search engines to construct a result list that consists of documents that are relevant to the user query and at the same time, diverse enough to meet the expectations of a diverse user population.
Sumit Bhatia +2 more
openalex +3 more sources