METHOD AND SYSTEM FOR ASSOCIATING FEEDBACK WITH RECOMMENDATION RULES

Patent №

US 8,090,621

Granted

2012-01-03

Filed 2007

Owner

AMAZON TECHNOLOGIES, INC.

AI components

5

ml · nlp · kr · planning · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

11769586

A recommendation system uses feedback from users on specific item recommendations to assess the quality of the recommendation rules used to generate such recommendations. The feedback may be explicit (e.g., a user rates a particular recommended item), implicit (e.g., a user purchases a recommended item), or both. The system may use these assessments to modify the degree to which particular recommendation rules are used to generate recommendations. For instance, if a particular recommendation rule leads to negative feedback relatively frequently, the system reduce or terminate its reliance on the rule. In some embodiments, the system may also increase its reliance on recommendation rules that tend to produce positive feedback.

AI classification

AI hardware1.00
Planning0.99
Machine learning0.99
Knowledge representation0.97
Natural language0.95
Vision0.00
Speech0.00
Evolutionary computation0.00

Ownership

AMAZON TECHNOLOGIES, INC.

assignment · 272540599

Assignors

CHAKRABARTI, KUSHAL, SMITH, BRENT R.

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

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