System and method for classifying incoming events by user's mobile device based on user preferences

A system for classifying incoming events by user's mobile device based on user preferences, the system comprising:

• at least one memory;
• and
• at least one hardware processor coupled with the at least one memory and configured, individually or in combination, to:
• intercept an incoming event received by a mobile device;
• analyze content of the intercepted event and determine one or more attributes associated with words in the content of the intercepted event;
• compare the intercepted event to a plurality of previously collected and classified events, stored in an event repository, based on the one or more determined attributes to identify one or more similar events;
• determine a rating value of the one or more similar events based on a matrix of user preferences, wherein the matrix of user preferences approximates nonzero values of an initial matrix of the plurality of previously collected and classified events and contains a predicted event rating in place of zero values of the initial matrix, the zero values corresponding to events that were not intercepted on the mobile device, and wherein the rating value indicates probability that the one or more similar events belongs to a particular class of events representing events of user interest;
• and
• classify the intercepted event as undesirable on the mobile device if the rating value of the one or more similar events is less than a predetermined threshold value.

A non-transitory computer readable medium storing thereon computer executable instructions for classifying incoming events by user's mobile device based on user preferences, including instructions for:

• intercepting an incoming event received by a mobile device;
• analyzing content of the intercepted event and determining one or more attributes associated with words in the content of the intercepted event;
• comparing the intercepted event to a plurality of previously collected and classified events, stored in an event repository, based on the one or more determined attributes to identify one or more similar events;
• determining a rating value of the one or more similar events based on a matrix of user preferences, wherein the matrix of user preferences approximates nonzero values of an initial matrix of the plurality of previously collected and classified events and contains a predicted event rating in place of zero values of the initial matrix, the zero values corresponding to events that were not intercepted on the mobile device, and wherein the rating value indicates probability that the one or more similar events belongs to a particular class of events representing events of user interest;
• and
• classifying the intercepted event as undesirable on the mobile device if the rating value of the one or more similar events is less than a predetermined threshold value.