Skip navigation
Title: 

Recommendation Technologies: Survey of Current Methods and Possible Extensions

Authors: Adomavicius, Gediminas
Tuzhilin, Alexander
Keywords: recommender systems;survey;rating estimation methods;extensions to recommender systems
Issue Date: 1-Jan-2003
Publisher: Stern School of Business, New York University
Series/Report no.: IS-03-06
Abstract: The paper presents a survey of the field of recommender systems and describes current recommendation methods that are usually classified into the following three main categories: content-based, collaborative, and hybrid recommendation approaches. The paper also describes various limitations of current recommendation methods and discusses possible extensions that can improve recommendation capabilities. These extensions include, among others, improvement of understanding of users and items, incorporation of the contextual information into the recommendation process, support for multi-criteria ratings, and provision of more flexible and less intrusive types of recommendations.
URI: http://hdl.handle.net/2451/14144
Appears in Collections:IOMS: Information Systems Working Papers

Files in This Item:
File Description SizeFormat 
IS-03-06.pdf255.04 kBAdobe PDFView/Open


Items in FDA are protected by copyright, with all rights reserved, unless otherwise indicated.