公开(公告)号：US20220374805A1

公开(公告)日：2022-11-24

申请号：US17323717

申请日：2021-05-18

Applicant: eBay Inc.

Inventor： Zezhong Zhang ,  Huiying Mao ,  Sumin Shen ,  Pak Hei Ieong ,  Atindra Mardikar

IPC: G06Q10/06 ,  G06N5/04 ,  G06N20/00

Abstract: An inventory prediction system is described that outputs a predicted inventory item not included in a user's known inventory using a cross-category directional graph that represents item categories as nodes. The inventory prediction system implements a prediction model trained using machine learning to output the predicted inventory item using the graph and at least one item from the user's known inventory. The inventory prediction system is further configured to generate a listing recommendation for the predicted inventory item. To do so, the inventory prediction system implements a logistic regression model trained using machine learning to calculate a probability that the listing recommendation should be generated using attributes of the predicted inventory item and attributes of currently trending items. The listing recommendation is generated to include a description of, and estimated value for, the predicted inventory item, together with an option to generate a sale listing for the predicted inventory item.

公开(公告)号：US20240394625A1

公开(公告)日：2024-11-28

申请号：US18793685

申请日：2024-08-02

Applicant: eBay Inc.

Inventor： Zezhong Zhang ,  Huiying Mao ,  Sumin Shen ,  Pak Hei Ieong ,  Atindra Mardikar

IPC: G06Q10/0631 ,  G06N5/04 ,  G06N20/00

Abstract: An inventory prediction system is described that outputs a predicted inventory item not included in a user's known inventory using a cross-category directional graph that represents item categories as nodes. The inventory prediction system implements a prediction model trained using machine learning to output the predicted inventory item using the graph and at least one item from the user's known inventory. The inventory prediction system is further configured to generate a listing recommendation for the predicted inventory item. To do so, the inventory prediction system implements a logistic regression model trained using machine learning to calculate a probability that the listing recommendation should be generated using attributes of the predicted inventory item and attributes of currently trending items. The listing recommendation is generated to include a description of, and estimated value for, the predicted inventory item, together with an option to generate a sale listing for the predicted inventory item.

公开(公告)号：US12093864B2

公开(公告)日：2024-09-17

申请号：US17323717

申请日：2021-05-18

Applicant: eBay Inc.

Inventor： Zezhong Zhang ,  Huiying Mao ,  Sumin Shen ,  Pak Hei Ieong ,  Atindra Mardikar

IPC: G06Q10/0631 ,  G06N5/04 ,  G06N20/00

CPC classification number: G06Q10/06315 ,  G06N5/04 ,  G06N20/00

Abstract: An inventory prediction system is described that outputs a predicted inventory item not included in a user's known inventory using a cross-category directional graph that represents item categories as nodes. The inventory prediction system implements a prediction model trained using machine learning to output the predicted inventory item using the graph and at least one item from the user's known inventory. The inventory prediction system is further configured to generate a listing recommendation for the predicted inventory item. To do so, the inventory prediction system implements a logistic regression model trained using machine learning to calculate a probability that the listing recommendation should be generated using attributes of the predicted inventory item and attributes of currently trending items. The listing recommendation is generated to include a description of, and estimated value for, the predicted inventory item, together with an option to generate a sale listing for the predicted inventory item.