Results 261 to 270 of about 184,073 (301)

A Hybrid Semantic Algorithm for Web Image Retrieval Incorporating Ontology Classification and User-Driven Query Expansion

, 2018
There is always a need to increase the overall relevance of results in Web search systems. Most existing web search systems are query-driven and give the least preferences to the users’ needs. Specifically, mining images from the Web are a highly cumbersome task as there are so many homonyms and canonically synonymous terms.
Gerard Deepak, J. Sheeba Priyadarshini
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The Classification and Solution Strategy of Conflicts in Deep Web Query Interface Integration

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing, 2008
The query interface integration is the key technology in realization of Deep Web information integration. However the bottleneck problem is the solution of differences and conflicts of query interfaces. TheThe most existed query interface integration work mainly focused on the conflict of attribute labels and attribute value, but there are many kinds ...
Anxiang Ma, Daming Sun, Bin Zhang, Kening Gao, Yin Zhang   +4 more
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Prediction on Intent Classification of Java and C# Web queries using Semi-supervision

2021 24th International Conference on Computer and Information Technology (ICCIT), 2021
Md. Ashfaqul Haque, Israt Jahan Dristy, Mohammad Tariqul Islam Tuhin, Ali Hossain Sagar, Jayed Mohammad Barek   +4 more
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A Deep Web Query Interfaces Classification Method Based on RBF Neural Network

Wuhan University Journal of Natural Sciences, 2007
This paper proposes a new approach for classification for query interfaces of Deep Web, which extracts features from the form’s text data on the query interfaces, assisted with the synonym library, and uses radial basic function neural network (RBFNN) algorithm to classify the query interfaces.
Yuan, Fang, Zhao Zhao, Yao -, Zhou Zhou, Xu   +5 more
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RETRACTED ARTICLE: Automated query classification based web service similarity technique using machine learning

Journal of Ambient Intelligence and Humanized Computing, 2020
B. Saravana Balaji, S. Balakrishnan, K. Venkatachalam, V. Jeyakrishnan   +3 more
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Graph-Based Web Query Classification

2015 12th Web Information System and Application Conference (WISA), 2015
Understanding Web users' search intent expressed by their queries is essential for a search engine to provide the appropriate answers. Web query classification (QC) algorithms have been widely studied to improve the accuracy and meet users' demands. Some QC algorithms convert queries into vectors and use SVM or CRF model as the classifier.
Chunwei Xia, Xin Wang
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Automatic Web Query Classification Using Large Unlabeled Web Pages

2008 The Ninth International Conference on Web-Age Information Management, 2008
In this paper, a novel and simple method is employed to automatically construct domain knowledge base for query classification from large-scale Web pages. Besides, using context as the feature of words, the resource of relevant words is built automatically in order to extend the user's query.
Jingbo Yu, Na Ye
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Minimizing Web Diversion Using Query Classification and Text Mining

Smrithi Agrawal, K.S. Kadam, Jeenal Mehta, Varsha Hole   +3 more
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Query type classification for web document retrieval

Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, 2003
The heterogeneous Web exacerbates IR problems and short user queries make them worse. The contents of web documents are not enough to find good answer documents. Link information and URL information compensates for the insufficiencies of content information. However, static combination of multiple evidences may lower the retrieval performance.
In-Ho Kang, GilChang Kim
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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.
R. Sathish Kumar, M. Chandrasekaran
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