network-search-engine






A university-centred European Union link analysis
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 Two of the major families of search engines, Yahoo! and MSN (The Microsoft Network search engine, also known as Windows Live) can also be used for link counting using their linkdomain: and site: advanced search commands. 

On combining link and contents information for web page clustering
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 It is in that a hierarchical network search engine is proposed to cluster hypertext documents to structure a given information space for supporting various services like browsing and querying based on the contents as well as the link structure of each hypertext document. 

Topological tree clustering of social network search results
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 A major review of the methods and algorithms can be found in [5][6]. This paper deals with methods that organise groups (retrieved by a social network search engine) into a set of virtual folders which are labelled automatically using 

Using common hypertext links to identify the best phrasal description of target web documents
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HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering. Proceedings of the Seventh ACM Conference on Hypertext, Washington, DC. 

Link based clustering of web search results
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page under consideration. [9] propose a hierarchical network search engine that clusters hypertext documents to structure a given information space for supporting various services like browsing and querying. All hypertext documents 

Scalable web search by adaptive online agents: An InfoSpiders case study
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Scalable Web Search by Adaptive Online Agents: An InfoSpiders Case Study Filippo Menczer1 and Alvaro E. Monge2 1 Management Sciences Department University

Document clustering for distributed fulltext search
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ACM SIG- COMM. Weiss, R., Velez, B., Sheldon, M., Namprempre, C., Szi- lagyi, P., Duda, A.,Gifford, D. HyPursuit: A hierarchical network search engine that exploits content- link hypertext clustering. ACM Hypertext.

Collection metadata solutions for digital library applications
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 Stanford University and a consortium of network search engine vendors are collaborating on a project to improve the ability of network search engines (metasearch- ers) to choose the appropriate collections for searching, to execute the queries at these sources using local 

Webinessence: A personalized web-based multi-document summarization and recommendation system
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The list is by no means exhaustive, although it highlights the strengths of WebInEssence. Weiss et al. presented their research on a frame- work for the design of a hierarchical network search

Spectral filtering for resource discovery
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Spectral filtering for resource discovery Soumen Chakrabarti Byron E. Dom David Gibson Ravi Kumar Prabhakar Raghavan Sridhar Rajagopalan IBM Almaden Research Center 650 Harry Road San Jose, CA 95120. Andrew TomkinsABSTRACT 

Domain experts for information retrieval in the World Wide Web
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HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hyper text Clustering. Proc. 

Categorisation by Context1
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Adaptive retrieval agents: Internalizing local context and scaling up to the Web
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Machine Learning,

Open architecture for distributed search systems
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R. Weiss, B. Velez, M. Sheldon, C. Namprempre, P. Szilagyi, A. Duda, and D. Gif- ford. HyPursuit: A hierarchical network search engine that exploits content-link hypertext clustering. In Hypertext The Seventh ACM Conference on Hyper- text, pages

Social network extraction of conference participants
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 network efficiently. Categories and Subject Descriptors H.4.m [Information Systems]: Miscellaneous; D.2 [Software]: Software Engineering Keywords social network, search engine, personalized service 1. INTRODUCTION In 

Clustering Web search results using suffix tree methods
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D. Koller and M. Sahami. Hierarchically classifying documents using very few words. MAS Ron Weiss, Bienvenido Velez. Hypursuit: A hierarchical network search engine that exploits content-link hypertext clustering. [3] O. Zamir and O. Etzioni. 

Building a Large Scalable Internet Superserver for Academic Services with Linux Cluster Technology
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 More detail about this effort are as listed: 1. Parallel Search Engines(Nontri Search): NontriSearch is a robot-based search engine, originally designed to serve as Thai enabled campus network search engine inside Kasetsart University. 

Conceptual information extraction with link-based search
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 2 Conceptual Link-Based Search Fig. 1 shows the architecture of personal web search engine using hyperlink structure and fuzzy concept network. Search engine consists of crawling, storing of link struc- ture, ranking, and personalization processes. 

Experiences with the extensible sensing system ess
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 It allows users to define data types, groups, and permission levels. It is also a sensor network search engine, which allows users to query for specific data sets based on geographic location, sensor type, date/time range, and other relevant fields. 

Survey on image content analysis, indexing, and retrieval techniques and status report of MPEG-7
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Tamkang Journal of Science and Engineering, Vol. 2, No. 3, pp. 101-118 (1999) 101 Survey on Image Content Analysis, Indexing, and Retrieval Techniques and Status Report of MPEG-7 Zijun Yang and C.-C. Jay Kuo 

Subject-based organization of the information space in multi-database networks
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Subject-Based Organization of the Information Space in Multi-database Networks Michael P. Papazoglou I and Steven Milliner 2 1 Tilburg University, INFOLAB, PO Box 90153, 5000 LE Tilburg, The Netherlands mikep 

C4-2: Combining link and contents in clustering web search results to improve information interpretation
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 under consideration. It is in [9] that a hierarchical network search engine is proposed to cluster hypertext documents to structure a given information space for supporting various services like browsing and querying. All hypertext 

Discovery and retrieval of logical information units in web
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Page 1. Discovery and Retrieval of Logical Information Units in Web Keishi Tajima Kenji Hatano Takeshi Matsukura Ryouichi Sano Katsumi Tanaka Department of Computer and Systems Engineering Kobe University Nada, Kobe 


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