Method for Relevancy Ranking of Products in Online Shopping

Patent №

US 11,062,372

Granted

2021-07-13

Filed 2017

Owner

Lab

AI components

3

ml · nlp · planning

Assignment

None on record

Dataset

AIPD

2023_r1 edition

Application

15667580

Systems and methods for ranking one or more products in online shopping. One or more products are identified based on a search query received from user. The one or more products are ranked based on terms present in the search query. Each of the one or more products has one or more attributes associated with it. An attribute score for each of the one or more products is determined. Further, based on the attribute score, the relevancy of the one or more products is determined. Based on the relevancy, a marginal relevancy score for each of the one or more products is determined. The one or more products are re-ranked based on the marginal relevancy score. The rank of the one or more products can also be modified to optimize revenue generation.

Machine learningNatural languagePlanningG06Q 30/0627G06F 16/24578G06F 16/248G06F 16/353G06F 16/951G06F 16/9535G06F 16/9538G06Q 30/0206+4 more

AI classification

Natural language1.00
Planning1.00
Machine learning0.99
Knowledge representation0.45
AI hardware0.38
Evolutionary computation0.26
Vision0.00
Speech0.00
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