International Workshop on Intelligent Information Access

Iterative Algorithms for Collaborative Filtering with Mixture Models

author: Libertad Tansini, University of Gothenburg

Categories

Top: Computer Science: Information Retrieval

You might be experiencing some problems with Your Video player.

*Slides*
0:00	Iterative Algorithms for Collaborative Filtering with Mixture Models
0:34	Outline
0:46	Outline: Introduction pt 1
0:48	Motivation
1:37	Outline: Introduction pt 2
1:40	Mixture Model I
3:08	Mixture Model II
3:19	Mixture Model III
3:48	Mixture Model VI
4:12	Input Output
4:42	Objective
5:20	Methods
6:38	First Method
7:05	Second Method pt 1
7:51	Second Method pt 2
8:14	Too Simple
8:41	Third Method
8:50	Fourth Method
9:24	Outline: Results pt 1
9:25	Tests
11:15	Outline: Results pt 2
11:19	Generated Test Data
12:35	Disjoint Model
13:58	Partially Mixed Model
14:26	Fully Mixed Model
15:05	Outline: Results pt 3
15:07	Real Data
16:10	Conclusions
16:53	Future Work
18:38	Questions?

Lecture rating

People found this lecture:
Worth seeing
because it is:
Valuable and informative
Well presented
Easily understandable
Acceptably recorded
You need to login to cast your vote.

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.