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What to consider when developing a user browsing model?

wsyy asked
Last Modified: 2012-06-12

I would like to develop a model to predict the browsing behavior of an Internet user.

The model should possess two features:

1. Can self learn when new data is available.

2. Can respond immediately.

Any thoughts are appreciated!
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What aspects of browsing behaviour do you want to model?

Do you want to predict the next URL to be visited based on past URL visits?
Such a model obviously leaves out many factors that influence a users behaviour,
but there may still be situations when reliable predictions may be possible,
such as a visit to an intro screen that directs to a unique next screen,
but I'm not sure how useful such predictions would be to you.

What data is available to the model, and by what criterion would you consider a model to be a good model?

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