Evolution of Recommender Systems from Ancient Times to Modern Era: A Survey
Evolution of Recommender Systems from Ancient Times to Modern Era: A Survey
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推荐系统从古代到现代的演变：一项调查
DOI：
10.17485/ijst/2016/v9i20/88005
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Rahul Singh
中科院分区：
文献类型：
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作者：
Richa Sharma;Rahul Singh
推荐系统在20世纪90年代中期被引入，以帮助人们从众多的选择中选择最适合他们的产品。导致他们发展的想法是，我们人们在尝试新事物之前经常依赖于同龄人的意见，比如在购买智能手机，笔记本电脑之前，在去看电影之前，在去一家新餐馆之前，甚至在去看医生之前。到目前为止，我们已经为各个领域开发了许多推荐系统，使用不同的推荐方法。然而，仍然有一些局限性的推荐系统，需要workedon.In本文中，我们提出了一个概述的推荐系统，推荐系统的各种方法，各种推荐系统的应用领域已经开发，我们也提出了推荐系统的局限性。
Recommender systems were introduced in the mid-1990s to help people select the most suitable product for them from the plethora of options available with them. The idea that led to their development was that we people often rely on the opinions of our peers before trying something new, say it be before buying a smart phone, a laptop, before going for a movie, before going to a new restaurant and even before visiting a doctor. Till date, we have numerous recommender systems developed for various areas, using different recommendation approaches. Yet, there are still a few limitations of recommender systems that need to be worked on. In this paper, we present an overview of recommender systems, the various approaches of recommender systems, the application areas for which various recommender systems have been developed and we also present the limitations of recommender systems.