Data Mining Based User Modeling Systems for Web Personalization Applied to People with Disabilities

author: Olatz Arbelaitz, University of the Basque Country
published: Jan. 19, 2010,   recorded: December 2009,   views: 3616
Categories

Slides

Related Open Educational Resources

Related content

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.
Lecture popularity: You need to login to cast your vote.
  Bibliography

Description

This position paper tackles the problem of automatic web personalization using machine learning techniques to model the users' behavior. The target population is people with physical, sensory or cognitive restrictions. In this paper we present our plans to study the possibility of creating user models using the information extracted from web navigation logs by means of data mining methods. We discuss the expected advantages of adopting data mining to generate information about the user, in comparison with traditional methods.

See Also:

Download slides icon Download slides: nips09_arbelaitz_dmb_01.ppt (242.5┬áKB)


Help icon Streaming Video Help

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: