1 research outputs found
The Powerful Model Adpredictor for Search Engine Switching Detection Challenge
The purpose of the Switching Detection Challenge in the 2013 WSCD workshop
was to predict users' search engine swithcing actions given records about
search sessions and logs.Our solution adopted the powerful prediction model
Adpredictor and utilized the method of feature engineering. We successfully
applied the click through rate (CTR) prediction model Adpredicitor into our
solution framework, and then the discovery of effective features and the
multiple classification of different switching type make our model outperforms
many competitors. We achieved an AUC score of 0.84255 on the private
leaderboard and ranked the 5th among all the competitors in the competition