The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title:	Collaborative filtering in TV Recommender
Author:	Podberezniak, Elizabeth
View Online:	njit-etd1998-088 (xi, 54 pages ~ 2.0 MB pdf)
Department:	Department of Electrical and Computer Engineering
Degree:	Master of Science
Program:	Electrical Engineering
Document Type:	Thesis
Advisory Committee:	Carpinelli, John D. (Committee chair) Chang, Timothy Nam (Committee member) Hubbi, Walid (Committee member)
Date:	1998-05
Keywords:	Human-computer interaction. Information retrieval--Computer programs. Data base searching--Computer programs.
Availability:	Unrestricted
Abstract:	The thesis describes different types of collaborative filtering methods to filter information from the large amount available and presents examples of such systems in different domains. It focuses on automated collaborative filtering to generate personalized recommendation of information. Different variations of the automated collaborative filtering scheme are developed and analyzed in the thesis. An additional adjustment of the predicted score is implemented in order to improve precision of the recommendation. Different combinations of parameters are analyzed to maximize system effectiveness. The data for the analysis was gathered through TV Recommender, a World Wide Web system developed for the thesis. The TV Recommender is a fully functional system that acquires users' data and implements the enhanced collaborative filtering scheme to generate user's personalized TV recommendation.