Activity modelling using email and web page classification
published: Feb. 25, 2007, recorded: July 2005, views: 131
Report a problem or upload filesIf 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.
This work explores the modelling of a user’s current activity using a single document and a very small collection of classified documents. We describe the WeMAC approach for combining evidence from heterogeneous sources to give a prdict the user’s activity. We report evaluation of the WeMAC model using two different document types: emails and web pages; assess its performance on both tiny document sets and larger sets; and assess its performance against a “one bag” approach. We report promising results, with average F1 value of 0.5-0.7.
Link this pageWould you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !