Personalized professional content recommendation

摘要

A personalized content recommendation system includes a client interface configured to automatically monitor a user's information data stream transmitted on the Internet. A hybrid contextual behavioral and collaborative personal interest inference engine resident to a non-transient media generates automatic predictions about the interests of individual users of the system. A database server retains the user's personal interest profile based on a plurality of monitored information. The system also includes a server programmed to filter items in an incoming information stream with the personal interest profile and is further programmed to identify only those items of the incoming information stream that substantially match the personal interest profile.

主权项

1. A method of providing personalized content recommendations, comprising:
at an electronic device comprising a processor and a memory storing instructions for execution by the processor performing the acts comprising:
automatically monitoring a user's information stream to identify a user's interest in a topic from a range of data sources through a publicly accessible distributed network;automatically generating a content signature that includes semantically salient content elements from the monitored user's information, a network address to the monitored user's information that the semantically salient content is based upon, and a plurality of densities of topics embodied in the salient content elements;automatically generating a personal interest profile from the monitored user information and storing the personal interest profile in a memory of the computing device, the memory stored with user's preferences based on a plurality of monitored behaviors;filtering items in an information stream with the personal interest profile and the content signatures; andtransmitting only those items of information that match the user's personal interest profile to the user.