CS 6604
Recommender Systems
Spring 2001
CS 6604 concentrates on algorithms, methodologies, systems, and larger-scope issues (economic, commercial etc.) pertaining to reducing information overload. The unique aspect of this course will be how it integrates ideas from diverse areas: numerical analysis (strange but true), information systems, human-computer interaction, and algorithmics. Over the past three years, a large body of literature on recommender systems, filtering, and personalization technologies has been developed. Even though the field is driven by commercial trends and industrial developments, many of the ideas are nearing a stage of stabilization when their use is becoming common place (textbook material). CS 6604 will help illustrate the interplay between these different areas and demonstrate how ideas from diverse backgrounds can be combined in novel and sophisticated ways.Instructor
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Naren Ramakrishnan
McBryde 629, 231-8451
naren@cs.vt.edu
Office Hours: MW 2-4pm
Class Meeting Times and Contact Info:
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MWF McBryde 322
12:20-1:10pm
Listserv: CS6604_15091@listserv.vt.edu
Pre-requisites
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Graduate Student Standing.
One or more of CS5114 (algorithms), CS5485 (numerical
analysis), CS5604 (information retrieval), CS5614 (database systems), CS5724 (HCI), and CS 5714 (usability engineering).
My goal is to organize a diverse and rich student audience, to have a good
mix of backgrounds and interests. It is expected that students have a primary
motivation to study recommender systems, as (i) a field in its own right,
(ii) a methodology to personalize information in a domain of interest, and/or (iii)
an excellent example of integrated and amalgamated research in computer science.