Timespent based models for predicting user retention
Kushal S. Dave, Vishal S. Vaingankar, Sumanth Kolar, Vasudeva Varma · 2013
Content discovery is fast becoming the preferred tool for user engagement on the web. Discovery allows users to get educated and entertained about their topics of interest. StumbleUpon is the largest personalized content discovery engine on the Web, delivering more than 1 billion personalized recommendations per month. As a recommendation system one of the primary metrics we track is whether the user returns (retention) to use the product after their initial experience (session) with StumbleUpon.