The Experts below are selected from a list of 711 Experts worldwide ranked by ideXlab platform
S U Yonghon - One of the best experts on this subject based on the ideXlab platform.
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reSearch and implementation of mobile phone Vertical Search Engine
Computer Science, 2014Co-Authors: S U YonghonAbstract:With the fast development of network technology,universal Search Engine always can not meet many user demands,especially when user needs to Search some information in a field,Vertical Search Engine accords with user demands.Cell phone resource Search was discussed.It initially comes up with a Vertical Search with fairly precise outcome through expanding the use of Heritrix and Lucene.The major reSearch work of this paper is divided into four parts.Firstly,by customizing and extending the Heritrix,it crawled some information from Internet.Secondly,the crawled information was analyzed and cramped out,some of that with the tool of HtmlParser.Thirdly,Lucene used to build a fulltext index and retrieval service for the system.Finally,the system design a MVC connector.The system achieves design goals through the tests of response time,recall ratio and precision ratio.
Yanfang Deng - One of the best experts on this subject based on the ideXlab platform.
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theme correlation algorithm based on the domain ontology in the Vertical Search Engine
International Conference on Multimedia and Expo, 2015Co-Authors: Mingshan Xie, Yanfang DengAbstract:Vertical Search Engine reSearch, more and more .subject-oriented Vertical Search has become one of the hotspots. This paper presents an ontology judgment theme relevance judgments algorithm, combined with Semantic Web technology with traditional information retrieval technology, and referenced by user's feedback, effectively improve the user's Search precision and recall rate, verified by experiment.
Zhou Hongfang - One of the best experts on this subject based on the ideXlab platform.
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topic distillation algorithm for Vertical Search Engine
Computer Engineering, 2009Co-Authors: Lv Lintao, Chen Liping, Zhou HongfangAbstract:HITS algorithm assigns same weight to links between Web pages,which results in topic drift.Aiming at this problem,a new improved HITS algorithm is proposed by assigning appropriate weights to links according to the link value and page semantic topic similarity.Improved HITS algorithm highlights the difference of links importance.Experiments show that the proposed algorithm can improve relevance ratio by 13%~42%.Furthermore,it can well avoid topic drift and improve the accuracy of information collection.It has important theoretical and practical values for Vertical Search Engines reSearch.
Mingshan Xie - One of the best experts on this subject based on the ideXlab platform.
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theme correlation algorithm based on the domain ontology in the Vertical Search Engine
International Conference on Multimedia and Expo, 2015Co-Authors: Mingshan Xie, Yanfang DengAbstract:Vertical Search Engine reSearch, more and more .subject-oriented Vertical Search has become one of the hotspots. This paper presents an ontology judgment theme relevance judgments algorithm, combined with Semantic Web technology with traditional information retrieval technology, and referenced by user's feedback, effectively improve the user's Search precision and recall rate, verified by experiment.
Lv Lintao - One of the best experts on this subject based on the ideXlab platform.
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topic distillation algorithm for Vertical Search Engine
Computer Engineering, 2009Co-Authors: Lv Lintao, Chen Liping, Zhou HongfangAbstract:HITS algorithm assigns same weight to links between Web pages,which results in topic drift.Aiming at this problem,a new improved HITS algorithm is proposed by assigning appropriate weights to links according to the link value and page semantic topic similarity.Improved HITS algorithm highlights the difference of links importance.Experiments show that the proposed algorithm can improve relevance ratio by 13%~42%.Furthermore,it can well avoid topic drift and improve the accuracy of information collection.It has important theoretical and practical values for Vertical Search Engines reSearch.