I am analysing the log of a website and I would like to build a classifier to predict the users that are likely to click on an Ad.
The Ad can be displayed to the visitor several times.
To build any classifier I need positive and negative examples:
- The positives are the visitors who clicked on the Ad (easy).
- The negatives are the visitors who saw the Ad but didn't click (not very obvious).
- Is there a convention about how/when to consider a user as a negative example?
I presume that I should define a threshold of impressions (views) per user, if the user reaches this threshold without clicking on the Ad, I consider him/her as as negative example?
Any reference or guidance is highly appreciated.