Abstract: Methods and systems for cluster-based historical data are disclosed. In one embodiment, a method includes accessing historical data associated with a plurality of users and, based on the historical data, constructing a plurality of clusters. Constructing each cluster involves selecting a subset of comparable users and including in the cluster historical data associated with the subset of comparable users. The operations further include storing the cluster, receiving, from a new user, a request for a recommendation, and accessing historical data associated with the new user. The operations further include, based on the historical data associated with the new user, selecting a cluster for which the subset of comparable users is comparable to the new user, based on the selected cluster, determining a recommendation, and providing the recommendation to the new user.

Abstract: Methods and systems for cluster-based historical data are disclosed. In one embodiment, a method includes accessing historical data associated with a plurality of users and, based on the historical data, constructing a plurality of clusters including historical data associated with a subset of the users. The method further includes, for each cluster, identifying users in the subset of users that are historically improving users, and, for each historically improving user, determining, based on the historical data associated with the historically improving user, a positive predictive attribute indicative of historical improvement. The method further includes receiving, from a new user, a request for a recommendation, accessing historical data associated with the new user, based on the historical data associated with the new user, selecting a cluster, determining the recommendation based on the positive predictive attribute for the selected cluster, and providing the recommendation to the new user.