文章基本信息

标题：A Survey on: A Customize Approach for Cold Start Problem using Data Analysis with Noise Removal
本地全文：下载
作者：Komal Shukla ; Umang modi ; Krunal Suthar 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：2
页码：1984
DOI：10.15680/IJIRCCE.2017.0502168
出版社：S&S Publications
摘要：Recommendation system is very popular. The main goal of the recommendation system is torecommend the best suitable items to the user. In the recent year Recommender systems do a main role in filtering andto make something to a customer specification to the information. Our contribution in this paper is an advanced surveyfocusing on issues of recommendation. Now the main issue are some time when the user come what to recommended?The other issue is regarding to provides item in proper order otherwise wrong item may misleading to other importantitem. One more important issue is also regarding to the data available for analysis. This data may contain lots of Noisydata and if they start analysis using this type of data may end in wrong or unwanted result.
关键词：Recommendation system; collaborative filtering; demographic filtering; cold-start problem; Noise;removal