Results 251 to 260 of about 184,073 (301)
Enrichment and Reductionism: Two Approaches for Web Query Classification
, 2011 Classifying web queries into predefined target categories, also known as web query classification, is important to improve search relevance and online advertising. Web queries are however typically short, ambiguous and in constant flux. Moreover, target categories often lack standard taxonomies and precise semantic descriptions.
Ritesh Agrawal +3 more
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Research on Web Page Classification Method Based on Query Log
Journal of Shanghai Jiaotong University (Science), 2017 Web page classification is an important application in many fields of Internet information retrieval, such as providing directory classification and vertical search. Methods based on query log which is a light weight version of Web page classification can avoid Web content crawling, making it relatively high in efficiency, but the sparsity of user ...
Feiyue Ye, Ma Yixing
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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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Web Queries Classification Based on the Syntactical Patterns of Search Types
, 2017 Nowadays, people make frequent use of search engines in order to find the information they need on the web. The abundance of available data has rendered the process of obtaining relevant information challenging in terms of processing and analyzing it. A broad range of web queries classification techniques have been proposed with the aim of helping in ...
Alaa Mohasseb +3 more
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Web query classification using improved visiting probability algorithm and babelnet semantic graph
2015 AI & Robotics (IRANOPEN), 2015 In this paper, an unsupervised method which is not use log data is offered to solve ”the problem of web query classification”. The aim of the proposed approach is the mapping of all the problem components to the BabelNet concepts and solving the problem by using these concepts.
Haniyeh Rashidghalam, Fariborz Mahmoudi
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Automatic web query classification using labeled and unlabeled training data
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, 2005 Accurate topical categorization of user queries allows for increased effectiveness, efficiency, and revenue potential in general-purpose web search systems. Such categorization becomes critical if the system is to return results not just from a general web collection but from topic-specific databases as well.
Steven M. Beitzel +6 more
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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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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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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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