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:
- Issue Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1224432
- Patent Number(s):
- 9171085
- Application Number:
- 13/960,509
- Assignee:
- UT-Battelle, LLC (Oak Ridge, TN)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
- 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 = {Tue Oct 27 00:00:00 EDT 2015},
month = {Tue Oct 27 00:00:00 EDT 2015}
}
Works referenced in this record:
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patent, August 2002
- Hosken, Benjamin E.
- US Patent Document 6,438,579
Referent based search suggestions
patent, January 2015
- Nordstrom, Paul G.; Whitelaw, Casey Stuart
- US Patent Document 8,930,393
Recommending images of user interests from the biomedical literature
conference, March 2013
- Clukey, Steven; Xu, Songhua
- SPIE Medical Imaging, SPIE Proceedings