TRUST-BASED RECOMMENDATION SYSTEMS

Patent №

US 7,991,841

Granted

2011-08-02

Filed 2008

Owner

MICROSOFT CORPORATION

Lab

Microsoft AI

AI components

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

12110625

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Systems and methods that analyze aggregated item evaluation behavior of users, to suggest a recommendation for the item. An analysis component forms a collective opinion by taking as input votes of users and trusted relationships established therebetween, to output an evaluation and/or recommendation for the item. Accordingly, within a linked structure of nodes, personalized recommendations to users (e.g., agents) are supplied about an item(s) based upon the opinions/reviews of other users, and in conjunction with the declared trust between the users.

Machine learning Natural language Knowledge representation Planning AI hardwareG06Q 30/02

Google Patents

AI classification

Knowledge representation1.00

Machine learning1.00

AI hardware1.00

Planning1.00

Natural language0.97

Evolutionary computation0.01

Speech0.00

Vision0.00

Ownership

MICROSOFT CORPORATION

assignment · 212180840

Assignors

ANDERSEN, REID M., BORGS, CHRISTIAN HERWARTH, CHAYES, JENNIFER TOUR, FEIGE, URIEL MORDECHAI, FLAXMAN, ABRAHAM, KALAI, ADAM TAUMAN, MIRROKNI, SEYED VAHAB, TENNENHOLTZ, MOSHE

On an employer assignment, the assignors are typically the inventors.

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