Title :
Recommendation based on Prominent Items
Author :
Sodhi, Raminder Jeet Singh ; Gaur, Vaibhav ; Panchal, V.K.
Author_Institution :
Dept. of Comput. Eng., Nat. Inst. of Technol. Karnataka, Surathkal, India
Abstract :
Today Recommender Systems are used in numerous fields like E-Commerce and Web personalization. Recommender systems support users in the identification of fascinating products, services and people in circumstances where the amount and intricacy of offers exceeds the capability of a user to survey it and to reach a decision.
Keywords :
collaborative filtering; recommender systems; intelligently formed user model; item-based CF approach; product identification; prominent item; recommender system support; user-based collaborative filtering; Algorithm design and analysis; Collaboration; Correlation; Databases; Information processing; Recommender systems; Recommendation; collaborative filtering; data mining; extensions to recommender systems; influence; item-based collaborative filtering;
Conference_Titel :
Image Information Processing (ICIIP), 2011 International Conference on
Conference_Location :
Himachal Pradesh
Print_ISBN :
978-1-61284-859-4
DOI :
10.1109/ICIIP.2011.6108950
