TY  - JOUR
T1  - Fuzzy Classification for Recommender Systems
AU - , K. Satyanarayana AU - , S.P. Rajagopalan 
JO  - International Journal of Soft Computing
VL  - 2
IS  - 5
SP  - 588
EP  - 591
PY  - 2007
DA  - 2001/08/19
SN  - 1816-9503
DO  - ijscomp.2007.588.591
UR  - https://makhillpublications.co/view-article.php?doi=ijscomp.2007.588.591
KW  - Recommender systems
KW  -collaborative filtering
KW  -content-based filtering
KW  -linguistic variable
KW  -fuzzy logic
KW  -standard deviation
AB  - 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.
ER  -