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Paper Title: Context Based Diversification for Keyword Queries Over XML Data Using Improved Information Retrieval Query Model
Authors Name: Sayalee Suradkar , Mrs. S. A. Kinariwala , Mr. R. B. Patil
Unique Id: IJSDR2010056
Published In: Volume 5 Issue 10, October-2020
Abstract: Although keyword search terms can help people find a lot of information, the ambiguity of the keyword search query makes search query responses more efficient, especially for short keywords and obscure. By solving this challenge, in this article, we will propose ways to make it easier to find contextual XML keywords in XML data, short and vague keyword queries, and XML data. It comes from a search query using a simple property selection style. We then designed a powerful XML keyword analysis model to measure the quality of each candidate. Then propose two algorithms to determine the highest search order for the researchers. Two selection criteria are targeted: K. The selected research participant will be the most relevant for the search term while the maximum number of results is covered. At the end of the detailed evaluation, real data and summary data, we demonstrate the effectiveness of the proposed distribution model and our algorithm.
Keywords: XML keyword search, context-based diversification
Cite Article: "Context Based Diversification for Keyword Queries Over XML Data Using Improved Information Retrieval Query Model", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 10, page no.363 - 370, October-2020, Available :http://www.ijsdr.org/papers/IJSDR2010056.pdf
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Publication Details: Published Paper ID: IJSDR2010056
Registration ID:192670
Published In: Volume 5 Issue 10, October-2020
DOI (Digital Object Identifier):
Page No: 363 - 370
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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