FACILITATING ELECTRONIC COMMERCE THROUGH AUTOMATED DATA-BASED REPUTATION CHRACTERIZATION

Patent №

US 6,856,963

Granted

2005-02-15

Filed 2000

Owner

INTEL CORPORATION

Lab

AI components

1

planning

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

09481740

The present invention addresses the problem of using reputation to establish trust between strangers in a person-to-person transaction in an electronic commerce system without the drawbacks of subjective reputation feedback systems. The present invention generates objective feedback for transaction participants by monitoring their actual behavior at a variety of well-defined points in the transaction, such as payment and shipping. An objective reputation characterization system for use in a person-to-person electronic commerce system is disclosed. The system includes a data capture component to receive a first notification of a deadline relating to a transaction event and to receive a second notification of the transaction event occurring corresponding to the deadline, and an analysis component to build an objective reputation profile of a transaction participant based at least in part on the notifications.

PlanningG06Q 10/06G06Q 30/0201

AI classification

Planning1.00
Knowledge representation0.10
Vision0.05
Machine learning0.03
Natural language0.02
AI hardware0.01
Evolutionary computation0.00
Speech0.00

Ownership

INTEL CORPORATION

assignment · 106990502

Assignors

HURWITZ, ROGER A.

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

From the same owner

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