Review: Recommender System
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 3
Abstract
Internet users are increasing at an amazing speed. With increasing use of internet, the use of online sites for the purchase, sale of products such as movies, songs, books, videos, apparels etc. has also increased. This led to the competition among the web site owners and forced them to provide the personalized recommendation to their customers. The concept of personalized recommendation increased the trust and loyalty relationship between the web site owners and the customers. With this thought recommender system came into existence. Recommender system is a dynamic concept which is expanding as an influential research area and has its applications in various fields like e-commerce, business, entertainment, education, medical sciences and so on. This paper presents an overview of the recommender system and the different methods used for making recommendations. This paper also discusses the various limitations of the recommender systems that are still an area of research. There are some recommender systems in education domain which recommends research paper, articles to students and research scholars. However, application of recommender system to recommend faculty of an education institution to the students, management and other members does not exist. Therefore, this paper proposes to implement Faculty Recommender System and justify its importance.
Authors and Affiliations
Diksha Nagpal, Deepanshu Garg
Keywords
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- EP ID EP21737
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