文章基本信息

标题：Intelligent Recommender in Stock Market
本地全文：下载
作者：Mandar Ganesh Deshpande ; Ashwin Prabhu ; Nishi Tiku 等
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：10831
DOI：10.15680/IJIRCCE.2017.0505334
出版社：S&S Publications
摘要：Internet users around the world have been growing rapidly and this growth has the opportunities forglobal and regional investmentsThis paper analyses the impact of investment on markets we discuss the relevance of our findings for differentiation inrisk, price convergence and decline in profit in a variety of markets where traditional agents are faced with changingcompetitive landscape as a result of online investment and trading.A recommender system based on web mining techniques to trace investor’s behaviour and learn his/her preferenceadaptively. The system can provide practical recommendations, and is able to help web users to save enormous time forinternet browsing.“With Web Intelligence, we can deploy a trading-chain to investors and brokers so they can analyse pattern andidentify processes that will save considerable time and cost.”
关键词：Recommendation System; Trading; Investment; AI; Web mining.