Abstract: The disclosed computer-implemented method may include systems and methods for generating and providing interactive sessions and interactive session captures. For example, upon completion of an interactive session, systems and methods described herein can generate an interactive session playback interface associated with an interactive session capture that includes various interactive features. During playback of the interactive session capture, the systems and methods described herein can update features of the interactive session playback interface to mirror interactions that occurred in the original interactive session, as well as provide additional interactive features associated with the interactive session capture. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: A recommendation system divides users into a plurality of segments based on scores generated for each of a plurality of users of an electronic service that provides functionality for users to browse and purchase or select items. The scores can be RFM (Recency, Frequency, and Monetary amount) scores based on at least purchase or selection recency, purchase or selection frequency, and in some instances, the monetary amount spent. The recommendation system can further detect behavior-based correlations between particular segments and particular items and/or item attributes. The correlations can be based on purchase or selection histories of the users assigned to specific segments. The recommendation system can select items to recommend to particular users based at least partly on the detected behavior-based correlations.