Analysis of Various Recommendation Systems
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: In today’s world the only way to catch and keep user’s attention to one’s website is to provide them with the recommendation list to match the needs of user. In this paper the most popular and widely used recommendation algorithms to build a recommender system has been surveyed. A recommender system is anintermediate program (or an agent) with a user interface that automatically and shrewdly generates a list of information which fits an individual’s needs. Initially recommendation systems were used only in large ecommerce websites but nowadays it’s widely used in much other type of websites like websites related to music, video, news and tourism etc. Major recommendation algorithms include the popular user-based and item-based correlation algorithms
Authors and Affiliations
Sunidhi Sachdeva , Namita Tiwari
Keywords
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