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公开(公告)号：US20230075026A1
公开(公告)日：2023-03-09
申请号：US17406393
申请日：2021-08-19
Applicant: eBay Inc.
Inventor： Zezhong Zhang , Keyu Nie , Ted Tao Yuan
Abstract: An online experiment system is described that generates a randomization evaluation for an online experiment, while the experiment is ongoing, indicating whether a distribution of experiment participants allocated to one or more participant groups satisfies an expected distribution. The online experiment system analyzes one of the experiment groups to obtain an observed distribution of the subset of experiment participants included in the experiment group. The online experiment system then evaluates the observed distribution relative to the expected distribution for the experiment according to a decision criteria of a population stability index test. The decision criteria is influenced by a tuning parameter that represents a ratio of experiment participants included in the observed experiment group to experiment participants included in a different experiment group. Responsive to the randomization evaluation indicating that a current distribution of experiment participants fails to satisfy the expected distribution for the experiment, an alert is output.
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公开(公告)号：US12210970B2
公开(公告)日：2025-01-28
申请号：US17958701
申请日：2022-10-03
Applicant: eBay Inc.
Inventor： Keyu Nie , Yang Zhou , Zezhong Zhang , Tao Yuan , Qian Wang , Giorgio Ballardin , Liren Sun
Abstract: A server accesses a plurality of users' sessions with the web server. Each user session indicating a page flow of a corresponding user session for a plurality of web pages provided by the web server. The server generates a learning model using a neural network based on the plurality of users' sessions. The learning model is configured to predict a next user activity based on a current page flow of a current user session. The next user activity indicating one of continuing the current user session by visiting another web page provided by the web server and ending the current user session. The server dynamically adjusts a content of a web page based on the predicted next user activity.
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Patent Agency Ranking
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
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.
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公开(公告)号：US20230045105A1
公开(公告)日：2023-02-09
申请号：US17958701
申请日：2022-10-03
Applicant: eBay Inc.
Inventor： Keyu Nie , Yang Zhou , Zezhong Zhang , Tao Yuan , Qian Wang , Giorgio Ballardin , Liren Sun
Abstract: A server accesses a plurality of users' sessions with the web server. Each user session indicating a page flow of a corresponding user session for a plurality of web pages provided by the web server. The server generates a learning model using a neural network based on the plurality of users' sessions. The learning model is configured to predict a next user activity based on a current page flow of a current user session. The next user activity indicating one of continuing the current user session by visiting another web page provided by the web server and ending the current user session. The server dynamically adjusts a content of a web page based on the predicted next user activity.
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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.
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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.
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公开(公告)号：US11494635B2
公开(公告)日：2022-11-08
申请号：US16252862
申请日：2019-01-21
Applicant: eBay Inc.
Inventor： Keyu Nie , Yang Zhou , Zezhong Zhang , Tao Yuan , Qian Wang , Giorgio Ballardin , Liren Sun
Abstract: A server accesses a plurality of users' sessions with the web server. Each user session indicating a page flow of a corresponding user session for a plurality of web pages provided by the web server. The server generates a learning model using a neural network based on the plurality of users' sessions. The learning model is configured to predict a next user activity based on a current page flow of a current user session. The next user activity indicating one of continuing the current user session by visiting another web page provided by the web server and ending the current user session. The server dynamically adjusts a content of a web page based on the predicted next user activity.
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