期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2017
卷号：5
期号：5
页码：9383
DOI：10.15680/IJIRCCE.2017.0505117
出版社：S&S Publications
摘要：Content mining techniques enhance the approach towards automatically extracting information fromweb page. Currently online shopping has gained enormous focus in social networking. Generally people prefer tochoose most frequently purchased product from their review about that project. Product specification presents thefeatures of user expected product online. But for the purpose of online shopping users have to visit different manuallyto meet their expectation, which is cumbersome task. In order to make this work proposed system designs a novelapproach for mining relevant information in the form query facet from searchable data.QD mining is mechanism that isused for mining searchable data from large number of web pages. Proposed context mining is systematic approach fordocument reading/parsing for expected result. This technique also helps to avoid duplicate web data for user enteredsearch query. Document reading can be done by parsing html tags for list of query facets. Proposed system alsopropagates to recommendation by reviewing users view for the product.
