Results 141 to 150 of about 184,038 (192)

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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Classification of Student Web Queries

2017 IEEE 7th Annual Computing and Communication Workshop and Conference (CCWC), 2017
The number of mobile devices used in the K-12 learning space has been growing steadily. Most school-issued devices that connect to the Internet are required to have web filters installed on them. These web filters are designed to filter out inappropriate content and log student activity online.
Jigar Jadav, Andrew Burke, Pratik Dhiman, Michael Kollmer, Charles Tappert   +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, Toby Walkery, Zijian Zhengy, Qiang Yangz, Ying Li   +4 more
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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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Varying approaches to topical web query classification

Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007
Topical classification of web queries has drawn recent interest because of the promise it offers in improving retrieval effectiveness and efficiency. However, much of this promise depends on whether classification is performed before or after the query is used to retrieve documents.
Steven M. Beitzel, Eric C. Jensen, Abdur Chowdhury, Ophir Frieder   +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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Using Web Search Logs to Identify Query Classification Terms

Fourth International Conference on Information Technology (ITNG'07), 2007
Classification of search queries is a complex and computationally challenging task. Typically, search queries are short, reveal very few features per single query and are therefore a weak source for traditional machine learning. In this paper, we present a method that combines limited manual labeling, computational linguistics and information retrieval
Taksa, Isak, Zelikovitz, Sarah, Spink, Amanda   +2 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, Eric C. Jensen, David D. Lewis, Abdur Chowdhury, Ophir Frieder   +4 more
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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, Jiajun Bu, Chun Chen, Peng Huang   +3 more
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Robust classification of rare queries using web knowledge

Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, 2007
We propose a methodology for building a practical robust query classification system that can identify thousands of query classes with reasonable accuracy, while dealing in real-time with the query volume of a commercial web search engine. We use a blind feedback technique: given a query, we determine its topic by classifying the web search results ...
Andrei Z. Broder, Marcus Fontoura, Evgeniy Gabrilovich, Amruta Joshi, Vanja Josifovski, Tong Zhang   +5 more
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