A survey on recommendation system
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 6
Abstract
Abstract: In this paper, we give a brief introduction about recommendation systems, components of recommendation systems i.e. items, users and user-item matching algorithms, various approaches of recommendation systems i.e. Collaborative filtering (people-to-people correlation) approach, Content-based recommendation approach, Demographic recommendation approach, Social network-based recommendation approach, Hybrid recommendation approach and Context-based recommendation approach, We also explain various application areas of recommendation systems (e-government, e-business, e-commerce/e-shopping, elibrary, e-learning, e-tourism, e-resource services) and challenges.
Authors and Affiliations
Gurpreet singh , Rajdavinder singh boparai
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