Contributions to Collaborative Filtering Research

Graduate Project

Öffentlich Deposited

Citeable URL: https://ir.library.oregonstate.edu/concern/graduate_projects/r781wg092

Descriptions

Attribute Name	Values
Creator	Nong, Shuzhen
Abstract	In this report, I first introduce three areas of interest to collaborative filtering researchers, namely: (a) how to solve the sparsity and scalability problems in recommendation systems; (b) how to rapidly develop and test collaborative filtering algorithms; and (c) how to apply collaborative filtering to unbounded numeric preference data. In the next three chapters, I described my contributions to these three areas: (a) my work on the CoFE recommendation engine; (b) my work on the SVD based algorithm; and (c) my attempt to design a new algorithm for the iTunes play count data. A summary and prospects for future work are given in the final chapter.
Resource Type	Capstone Project
Date Available	2012-08-08T15:20:55+00:00
Date Issued	2004
Degree Level	Master's
Degree Name	Master of Science (M.S.)
Degree Field	Computer Science
Degree Grantor	Oregon State University
Commencement Year	2004
Advisor	Herlocker, Jonathan
Committee Member	Martin, Francisco Burnett, Margaret M.
Academic Affiliation	Electrical Engineering and Computer Science
Subject	Computer algorithms Recommender systems (Information filtering)
Urheberrechts-Erklärung	In Copyright
Publisher	Oregon State Unversity
Peer Reviewed	No
Language	English [eng]
Replaces	http://hdl.handle.net/1957/31979

Miniaturansicht	Titel	Hochladedatum	Sichtbarkeit	Aktionen
	2004-72.pdf	2017-07-05	Öffentlich	Herunterladen