推荐系统:不同推荐方法的概述

K. Shah, Akshaykumar Salunke, S. Dongare, Kisandas Antala
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引用次数: 66

摘要

本文概述了推荐系统领域,并描述了当前的推荐方法。推荐系统或推荐系统(RSs)是信息过滤系统的一个子集,是根据用户的需要向用户提供建议的软件工具和技术。许多流行的电子商务网站广泛使用RSs来推荐新闻、音乐、研究文章、书籍和产品。推荐系统使用来自互联网的个人、隐式和本地信息。本文试图描述推荐方法的各种局限性和它们的优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recommender systems: An overview of different approaches to recommendations
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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