Microsoft Corporation
Query and ranking prediction using network action

Abstract:

Described are methods and systems to identify analyzing a social network to predict member actions, queries, or ranks within a social networking system. According to various embodiments, the system detects changes within a first data set of a first member. The system identifies an entity associated with the change in the first data set, determines an action probability of the entity in response to the change, and identifies a second data set associated with a second member having at least one common element with the first data set. The system identifies a set of elements in the first data set and an entity data set corresponding to the change and generates a customized user interface screen comprising a representation of the entity and a portion of the set of elements.