推荐系统
RSS
计算机科学
领域(数学)
万维网
产品(数学)
互联网
协同过滤
软件
情报检索
几何学
数学
程序设计语言
纯数学
作者
Kunal Shah,Akshaykumar Salunke,Saurabh Dongare,Kisandas Antala
标识
DOI:10.1109/iciiecs.2017.8276172
摘要
This paper presents an overview of the field of recommender systems and describes the present generation of recommendation methods. Recommender systems or recommendation systems (RSs) are a subset of information filtering system and are software tools and techniques providing suggestions to the user according to their need. Many popular Ecommerce sites widely use RSs to recommend news, music, research articles, books, and product items. Recommendation systems use personal, implicit and local information from the Internet. This paper attempts to describe various limitations of recommendation methods and their advantages.
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