Results 251 to 260 of about 293,218 (322)
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
Isak Taksa +2 more
semanticscholar +5 more sources
Query Topic Classification and Sociology of Web Query Logs
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 query logs of the national search audience.
Nikolai Buzikashvili
semanticscholar +3 more sources
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 +3 more
semanticscholar +3 more sources
Computers & Electrical Engineering, 2018 Abstract Most of the existing web search systems are query-centric and are not user-centric. Mining images from the Web is a challenging task as it requires choosing the right methodology. A strategy that recommends images for homonyms and contextually similar terms have been proposed.
Gerard Deepak, J. Sheeba Priyadarshini
semanticscholar +3 more sources
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
semanticscholar +3 more sources
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, Yao Zhao, Xu Zhou
semanticscholar +3 more sources
, 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
semanticscholar +3 more sources
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, Gil-Chang Kim
+4 more sources
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Automatic Web Query Classification Using Large Unlabeled Web Pages
2008 The Ninth International Conference on Web-Age Information Management, 2008In 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
openaire +2 more sources
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, 2005Accurate 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
openaire +2 more sources