Data Mining: Solving the Thirst of Recommendations to Users
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: Internet usage attains a peek level in these days. It is portable due to arrival of smart phones. Peoplecan enquire information about any products they are in need using the Electronic sites. Their needs are satisfiedby many sites now-a-days. This paper talks about the recommender system which gives useful information tousers to assist them in finding what they are in need. In this process, data mining techniques can be used to findbest recommendations. Association rule mining, classification, clustering is used here which give goodpersonalized ideas.
Authors and Affiliations
S. Vaishnavi , M. Shobana , N. Geethanjali , Dr. S. Karthik
Keywords
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- EP ID EP147789
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