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Title: Personalized professional content recommendation

Abstract

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.

Inventors:
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1224432
Patent Number(s):
9,171,085
Application Number:
13/960,509
Assignee:
UT-Battelle, LLC (Oak Ridge, TN) ORNL
DOE Contract Number:  
AC05-00OR22725
Resource Type:
Patent
Resource Relation:
Patent File Date: 2013 Aug 06
Country of Publication:
United States
Language:
English
Subject:
96 KNOWLEDGE MANAGEMENT AND PRESERVATION

Citation Formats

Xu, Songhua. Personalized professional content recommendation. United States: N. p., 2015. Web.
Xu, Songhua. Personalized professional content recommendation. United States.
Xu, Songhua. Tue . "Personalized professional content recommendation". United States. https://www.osti.gov/servlets/purl/1224432.
@article{osti_1224432,
title = {Personalized professional content recommendation},
author = {Xu, Songhua},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2015},
month = {10}
}

Patent:

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