Downloading: Efficient Top-k List Extraction from the Web
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064



To prevent Server Overload, Your Article PDF will be Downloaded in Next Seconds

Efficient Top-k List Extraction from the Web

Jyoti H. Yadav, M. M. Deshpande

Abstract: In todays technological world the largest source of getting the information is World Wide Web. But most information i.e. present on web is of different format for e.g. it may be structured, non-structured. So when user enters any query or top-k items query on search engine he gets many URL linking as result which is time consuming to fetch every URL. So to avoid above problems we present our proposed new technique for extraction of top-k list. It will give exact result which user wants in less time. It describes top-k instance of general interest.

Keywords: Top-k list, Title extract, Dust removal, Parsing



Top