Recommending personally interested contents by text mining, filtering, and interfaces

Xu, Songhua

Title: Recommending personally interested contents by text mining, filtering, and interfaces

Patent · Tue Oct 27 00:00:00 EDT 2015

OSTI ID:1224433

Xu, Songhua

A personalized content recommendation system includes a client interface device configured to monitor a user's information data stream. A collaborative filter remote from the client interface device generates automated predictions about the interests of the user. A database server stores personal behavioral profiles and user's preferences based on a plurality of monitored past behaviors and an output of the collaborative user personal interest inference engine. A programmed personal content recommendation server filters items in an incoming information stream with the personal behavioral profile and identifies only those items of the incoming information stream that substantially matches the personal behavioral profile. The identified personally relevant content is then recommended to the user following some priority that may consider the similarity between the personal interest matches, the context of the user information consumption behaviors that may be shown by the user's content consumption mode.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-00OR22725

Assignee:: UT-Battelle, LLC (Oak Ridge, TN)

Patent Number(s):: 9,171,068

Application Number:: 13/785,117

OSTI ID:: 1224433

Resource Relation:: Patent File Date: 2013 Mar 05

Country of Publication:: United States

Language:: English

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