Automatically Mining Facets For Queries From Their Search Results Using Association Rule And Textual Entailment

Khot Kishor Ganpati , B.R.Solunke

Query Facet, Faceted Search, Summarization, User Intent

We address the issue of discovering inquiry features which are numerous gatherings of words or expressions that clarify and sum up the substance covered by a question. We accept that the significant parts of a question are typically introduced and rehashed in the inquiry's top recovered records in the style of records, and question features can be mined out by conglomerating these huge records. We further dissect the issue of rundown duplication, and discover better question aspects can be mined by demonstrating fine-grained similitudes among records and punishing the copied records. A Facet item is typically a word or a phrase. A query may have multiple facets that summaries the information about the query from different perspectives. We address the problem of finding query facets which are multiple groups of words or phrases that explain and summarize the content covered by a query. We propose a systematic solution, which we refer to automatically mine query facets by extracting and grouping frequent list from free text ,html tags, and repeat regions within top search result. We assume that important aspect of query are usually presented and repeated in the queries top retrieved document in the style of lists, query facets can be mined out by aggregating these significant lists

Published Paper   E-Certificate

"Automatically Mining Facets For Queries From Their Search Results Using Association Rule And Textual Entailment", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.6, Issue 9, page no.64 - 69, September-2021, Available :https://ijsdr.org/papers/IJSDR2109011.pdf

Volume 6 Issue 9, September-2021

Pages : 64 - 69

Paper Reg. ID: IJSDR_193655

Published Paper Id: IJSDR2109011

Downloads: 000347175

Research Area: Engineering

Country: Aurangabad, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR2109011

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR2109011

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition