DocumentCode :
3026914
Title :
Improving the performance of multi-criteria recommendation system using fuzzy integrated meta heuristic
Author :
Parveen, Hina ; Ashraf, Mohd ; Parveen, Rubina
Author_Institution :
Sch. of ICT, Gautam Buddha Univ., Noida, India
fYear :
2015
fDate :
15-16 May 2015
Firstpage :
304
Lastpage :
308
Abstract :
Recommender systems have been researched in the extreme in recent years, and are implemented in a variety of applications. Increasing number of E-commerce sites on the Internet has made the information overload. In general, users are enabled to provide overall ratings on items but many online systems allow users to provide their ratings on different criterions. So much research work have been made in the past to build a recommendation system focusing on the ratings of a single criterion. However, using the approach of multi criteria recommender systems in online environment is still in its developing phase. This proposed approach recommends the relevant item to the user with the help of Fuzzy Multi-criteria Decision Making approach.
Keywords :
Internet; decision making; electronic commerce; fuzzy set theory; recommender systems; Internet; e-commerce sites; fuzzy integrated meta heuristic; fuzzy multicriteria decision making approach; multicriteria recommendation system; multicriteria recommender systems; online environment; Automation; Collaboration; Decision making; Motion pictures; Pragmatics; Recommender systems; Fuzzy Multi-criteria Decision Making; Fuzzy linguistic; Recommendation system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
Type :
conf
DOI :
10.1109/CCAA.2015.7148394
Filename :
7148394
Link To Document :
بازگشت