Results 261 to 270 of about 293,218 (322)
Automatic classification of Web queries using very large unlabeled query logs
ACM Transactions on Information Systems, 2007 Accurate topical classification of user queries allows for increased effectiveness and efficiency in general-purpose Web search systems. Such classification becomes critical if the system must route queries to a subset of topic-specific and resource-constrained back-end databases.
Steven M. Beitzel +4 more
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Personal name classification in web queries
Proceedings of the international conference on Web search and web data mining - WSDM '08, 2008 Personal names are an important kind of Web queries in Web search, and yet they are special in many ways. Strategies for retrieving information on personal names should therefore be different from the strategies for other types of queries. To improve the search quality for personal names, a first step is to detect whether a query is a personal name ...
Dou Shen +4 more
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Semantics-Assisted Deep Web Query Interface Classification
Proceedings of the Eighth International C* Conference on Computer Science & Software Engineering - C3S2E '15, 2008Huge amounts of structured data sources are hidden in the databases behind web forms. Volumes of deep web contents were estimated to be around 500 times those of surface web. However, many web forms are not deep web query interfaces. To retrieve contents in the web databases, an important task is to identify those web forms that are deep web query ...
Chichang Jou
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Automatic Query Type Classification for Web Image Retrieval
2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07), 2007 In this paper, a framework of query classification is proposed for text-based image retrieval. The classification process in this framework consists of three phases. In the first phase, two basic classifiers are employed to classify the image query into certain categories.
Keke Cai +3 more
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Identification and Classification of Deep Web Query Interfaces via Ontology
International Journal of Advancements in Computing Technology, 2011 In order to obtain the large quantities of valuable information on Deep Web, it is required to discover the related individual query interface and design the integrated query interface on which user query request can be submitted. The key challenges are to identify and classify the Deep Web query interface accurately.
Baohua Qiang +4 more
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Deep Web Data Source Classification Based on Query Interface Context
2012 Fourth International Conference on Computational and Information Sciences, 2012 As the volume of information in the Deep Web grows, a Deep Web data source classification algorithm based on query interface context is presented. Two methods are combined to get the search interface similarity. One is based on the vector space. The classical TF-IDF statistics are used to gain the similarity between search interfaces.
Zilu Cui, Yuchen Fu
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Research on Automatic Classification for Deep Web Query Interfaces
2008 International Symposiums on Information Processing, 2008In recent years, the Web is "deepened" rapidly and users have to browse quantities of Web sites to access Web databases in a specific domain. So, to build an unified query interface which integrates query interfaces of a domain to access various Web databases at the same time becomes a very important issue.
Peiguang Lin +3 more
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Automatic classification of deep web databases with simple query interface
2009 International Conference on Industrial Mechatronics and Automation, 2009 Deep Web database classify is a key operation in organizing Deep Web resources. We address the problem of identifying the domain of web databases with simple query interface. The existing methods can not effectively classify this type of web databases, to solve this problem, we propose an new framework that can automatically and accurately classify web
Xuefeng Xian +4 more
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Inducing and Refining Topics for Web Query Classification Using a Semantic Network
Journal of Computational and Theoretical Nanoscience, 2018 Web query classification, the task of inferring topical categories from a web search query is a non-trivial problem in Information Retrieval domain. The topic categories inferred by a Web query classification system may provide a rich set of features for improving query expansion and web advertising.
Rituparna Kumar, M. Chandrasekaran
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A Feature-Free Flexible Approach to Topical Classification of Web Queries
2011 Seventh International Conference on Semantics, Knowledge and Grids, 2011 The task of topical classification of Web queries is to classify Web queries into a set of target categories. Machine learning based conventional approaches usually rely on external sources of information to obtain additional features for Web queries and training data for target categories.
Lin Li +4 more
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