Hypergraph structure and truncation method that reduces computer processor execution time in predicting product returns based on large scale data

Number of patents in Portfolio can not be more than 2000

United States of America Patent

PATENT NO 11164229
APP PUB NO 20200160418A1
SERIAL NO

16194970

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Abstract

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A hypergraph is constructed based on historical shopping cart data. A node of the hypergraph corresponds to a shopping basket, and a hyperedge of the hypergraph corresponds to a unique product, the hyperedge connecting all nodes of the hypergraph representing baskets containing the unique product. A hypergraph partition algorithm identifies a cluster of shopping baskets represented in the hypergraph and determined to be similar to a given basket. Based on the cluster of shopping baskets a dual-level return prediction is performed. The dual-level return prediction includes predicting whether the given basket will be returned, and based on predicting that the given basket will be returned, predicting a probability that a product in the given basket will be returned. Based on predicting that the given basket will be returned, an ameliorative action is performed to reduce the probability.

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Patent Owner(s)

  • INTERNATIONAL BUSINESS MACHINE CORPORATION

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Deshpande, Ajay Ashok White Plains, US 40 124
Liu, Xuan Yorktown Heights, US 191 1762
Park, Jae-Eun Wappingers Falls, US 46 575
Topol, Anna Wanda Clifton Park, US 15 1199
Zhu, Yada Irvington, US 52 381

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