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1. (WO2018204076) PERSONALIZED USER-CATEGORIZED RECOMMENDATIONS

Pub. No.:    WO/2018/204076    International Application No.:    PCT/US2018/028227
Publication Date: Fri Nov 09 00:59:59 CET 2018 International Filing Date: Fri Apr 20 01:59:59 CEST 2018
IPC: G06F 17/30
Applicants: MICROSOFT TECHNOLOGY LICENSING, LLC
Inventors: SUN, Yanfeng
MICHELIS, Alexandre Bernard Raymond
SACHETI, Arun Kumar
LIN, Emily
HIRANO, Ryuichi
LEUNG, Vincent Kin-Wah
Title: PERSONALIZED USER-CATEGORIZED RECOMMENDATIONS
Abstract:
Methods and systems for providing targeted recommendations are provided. A user model is generated from user data. Feed candidates are generated based on the user model. The generated feed candidates are ranked on a predetermined scale. At least one targeted recommendation from the ranked feed candidates. The at least one targeted recommendation feed is provided to a user associated with the user data.