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