Activity modelling using email and web page classification

author: Aaron Quigley, University of Sydney
published: Feb. 25, 2007,   recorded: July 2005,   views: 3561

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Description

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.

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Reviews and comments:

Comment1 United Bronx, May 19, 2022 at 12:17 p.m.:

Can you help me with my computer? I am not a programmer and my Gmail stopped working this morning. I would really love to follow tips from this lecture! But damn it, I can't!


Comment2 RotondaLongisland, May 19, 2022 at 4:33 p.m.:

Sad to hear that. But to be honest, I am not a programmer either. And my wife doesn't know computer at all. Perhaps this is because of our age. What I found for you was also https://www.auslogics.com/en/articles... so if in the end of the day you will find out that you still can't fix it with the help of code helper, you can read the post and try another way.

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