Abstract: Personal and asset transaction information of a plurality of participating investors of a social network-based investment guidance service can be aggregated. A subset of the aggregated personal information and asset transaction information can be defined based on a set of one or more dimensions relating to either or both of the aggregated asset transaction information and personal information of the plurality of participating investors and investor profile information can be presented to the individual participating investor based on the subset.

Abstract: In various example embodiments, systems and methods for estimating the mean of a dataset having a fat tail. Data sets may be partitioned into components, a “torso” component and a “tail” component. For the “tail” component of the data set a more efficient estimator can be obtained (versus the traditionally calculated mean) by using the tail data to estimate parameters for a specific distribution and then deriving the mean from the estimated parameters. The estimated mean from the torso and the estimated mean from the tail may then be combined to obtain the estimated mean for the full data. This can be applied to gross merchandise bought (GMB) by various samples of visitors and apply the experience that was provided to the sample with the highest GMB to all visitors to increase gross revenue.