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：2018
卷号：6
期号：5
页码：5557-5562
DOI：10.15680/IJIRCCE.2018.0605088
出版社：S&S Publications
摘要：Data mining is very popular area for research which helps us in business improvement. Using Data
mining techniques helps for mining customer preferences and helps in mining information of customer reviews. This
paper is concerned with the problem of mining competitors from the Web. Nowadays, the fierce competition in the
market necessitates every company to know not only which companies are its primary competitors but also in which
domains the company’s rivals compete with itself and what is the competitors strength in a specific competitive
domain. For finding competitors need to use customer opinion and how many customer purchasing product according
to their features. We present efficient methods for evaluating competitiveness in large review datasets and address the
natural problem of finding the top-k competitors of a given item. Our approach is evaluated against strong baselines via
user study and experiments on multiple datasets from various domains.
