International Journal of Soft Computing
ISSN: OnlineISSN: Print 1816-9503
Abstract
Recommender systems are more and more needed in order to exploit the huge amount of information available on the Internet. Recommeder system makes automatic prediction with regard to the interest expressed by the user. All shop owners do not give same importance to all products since these products do not possess the same value. Any shop owner will prefer products, which will give him/her higher profits and carries high product value. In this study, we have discussed about fuzzy classification of product values and use of linguistic variables, method of associating fuzzy classification with recommender system.
How to cite this article:
K. Satyanarayana and S.P. Rajagopalan . Fuzzy Classification for Recommender Systems.
DOI: https://doi.org/10.36478/ijscomp.2007.588.591
URL: https://www.makhillpublications.co/view-article/1816-9503/ijscomp.2007.588.591