Patent ID: 8862102
Filing Date: 2014-10-14
Classification: G06Q,H04L,H04M,H04W

Abstract:
1. A method for providing dynamically and autonomously generated targeted recommendations about a social network facilitated event to a user in a social network and in a network compatible with said social network, wherein said social network is accessible from a mobile device in a mobile network, said method comprising providing recommendations about said event to said user based on a plurality of factors, said plurality of factors comprising of at least one among: a relationship of said user with a social cluster; a relationship of said event with an event cluster; a relationship of said social cluster with said event cluster; and ratings provided by a plurality of users for a plurality of events in said event cluster, wherein said user may be included in said plurality of users, wherein said social cluster is created by performing steps comprising of: analyzing feedback and rated events, wherein said rated events are similar to said event, to build a list of users with similar interests in a dynamic manner; grouping dynamically said list of users in a dynamic manner into said social cluster; and determining a final user rating for said rated events dependent on said social cluster to provide recommendations, wherein said social cluster is modified by performing steps comprising of: analyzing call detail records of said user, a list of contacts of said user, a profile of said user, a location of said user, said feedback and said rated events, wherein said rated events are similar to said event; and re-grouping said social cluster to provide feedback and ratings for said rated events, wherein said ratings modify an event cluster, and wherein analyzing said call detail records comprises: assigning weights to entries present in said call detail records; and ranking said entries based on said weights, wherein said weights are assigned based on similarity of users between said user and said entries.