CGL Meeting Agenda - 2000.09.13

September 13th, 2000

Location:
DC1304
Time:
1:30 p.m.
Chair:
Marryat Ma :-)

1. Adoption of the Agenda - additions or deletions

2. Coffee Hour

Coffee hour last week:
          No coffee hour
Coffee hour this week:
??
Coffee hour next week:
??

3. Next meeting

Date:
Wednesday, September 20th, 2000
Location:
DC1304
Time:
1:30 p.m.
Chair:
Josée Lajoie :-)
Technical presentation:
Eric Hall :-)

4. Forthcoming

Chair:
  1. Vincent Ma (September 27th) :-)
  2. Stephen Mann (October 4th) :-)
  3. Michael McCool (October 11th) :-)
Tech Presenters:
  1. Tim Lahey (September 27th) :-)
  2. Josée Lajoie (October 4th) :-)
  3. Vincent Ma (October 11th) :-)

5. Technical Presentation

Presenter:

Patrick Gilhuly :-)
 
 

Title:

Video Textures

 

Abstract:

Video textures are a new media type. The idea is to create an endless sequence of video from an input of a finite length video clip. This is a presentation of a paper from Siggraph 2000.

 

6. General Discussion Items

7. Action List

8. Director's Meeting

9. Seminars

               Computer Science Seminar 
      LPAIG-Logic Programming and Artifical Intelligence Group 

              Thursday, 14 September 2000 at 2:30PM 

                             MC4040 

          Hybrid Recommender Systems for Electronic Commerce 

                          Thomas Tran 

     Computer Science Graduate Student, University of Waterloo 

 In electronic commerce applications, prospective buyers may be
 interested in receiving recommendations to assist with their
 purchasing decisions. Previous research has described two main models
 for automated recommender systems - collaborative filtering and the
 knowledge-based approach. In this talk, we present an architecture
 for designing a hybrid recommender system that combines these two
 approaches. We also discuss how such a recommender system can switch
 between the two methods, depending on the current support for
 providing good recommendations from the behaviour of other users,
 required for the collaborative filtering option. We also comment on
 how the overall design is useful to support recommendations for a
 variety of product areas and present some directions for future work.

This talk being presented as part of CS798L, Advanced Research Topics
--- Electronic Commerce.

10. Lab Cleanup