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：2016
卷号：4
期号：2
页码：2107
DOI：10.15680/IJIRCCE.2016.0402064
出版社：S&S Publications
摘要：Big data is an emerging technology, as the name suggests is all about handling large amount of data.,method and procedure the data within a tolerable elapsed time. A huge data is collected and processed to make some decision and also used to describe any type of data which may be structured, semi-structured, unstructured and if the data grows.Big Databecame a challenge for IT companies.Service recommender system such as hotel reservation system and restaurant guides the ratings of services. They also provide the same service recommendation list to all the users. User's different preferences were not considered and also fail to meet the personalized requirements. Service utility is represented as a whole for all users which is based on single numerical rating in existing service recommender system.Scalability problem is solved ,but not provide favourable scalability and efficiency when the amount of data grows.In this paper, a new method is proposed called as KASR(Keyword Aware Service Recommendation )method is based on an algorithm is User based collaborative filtering algorithm Also to calculate the personalized rating of each candidate service for a user and also provide a personalized service recommendation list to appropriate service to users MapReduce is used in Hadoop for computing structure which is implement on a distributed computing.In KASR,keywords are used to denote both user's preferences and the quality of services.. This method is used to improve the scalability and efficiency ,if data grows
