The more they try, the more they are likely to come back!!

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Are you trying to launch an online site for customers? Do you know that on an average, 60% of users do not return after using the site once?

In this research, we discover factors that predict whether first-time users return to MovieLens, our movie recommendation site.  A model based on these factors successfully predicts 70% of returning users (and non-returning ones).  Notably, the best single predictor of user return is the diversity of features explored in the user’s first session!  Along the way, we develop a process and a metric for activity diversity — one that can be applied to any site or context. Interested in further details?

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