Collaborative Search Engine for Enhancing Personalized User Search Based on Domain Knowledge.
In the fast moving world, users cross over large amount of data for their daily life. Due to the misinterpretation of the context, user cannot retrieve the proper context or failure to retrieve the information. The main aim of this paper is to design and implement a personalized search engine which...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 8 |
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| Autores principales: | , |
| Formato: | algorithm equations & formulas tables/charts Journal Article |
| Publicado: |
Springer Nature
Aug2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=137490022&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 137490022 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Aug2019 vid: 43 iid: 8 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 137490022 137490022 137490022 10.1007/s10916-019-1350-1 137490022 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Collaborative Search Engine for Enhancing Personalized User Search Based on Domain Knowledge. aug: au: Senthilkumar N C Pradeep Reddy Ch affil: School of Information Technology and Engineering, VIT, Vellore, India sug: subj: Web Search Engines Internet Searching Methods User-Computer Interface Software Design Knowledge Information Retrieval Cloud Computing Decision Trees Feedback Linguistics Computerized Literature Searching, End User ab: In the fast moving world, users cross over large amount of data for their daily life. Due to the misinterpretation of the context, user cannot retrieve the proper context or failure to retrieve the information. The main aim of this paper is to design and implement a personalized search engine which works based on the domain of the user with the specific constraints suggested by the user. In this paper, the proposed system, build a search engine with web content which get information from the document corpus for the domain through the cloud databases. Web search engine re-ranks the generic results based on a ranking of a context linked with the domain. In this system, collaborative search service helps to improve the relevancy of the search results and to reduce the overtime on bad links and hence caters to customized needs with collaborative feedback using fuzzy decision tree based on fuzzy rules. pubtype: Academic Journal doctype: algorithm equations & formulas tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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