公开(公告)号：US10409821B2

公开(公告)日：2019-09-10

申请号：US14502089

申请日：2014-09-30

Applicant: eBay Inc.

Inventor： Parashuram Kulkarni ,  Abdelhalim Abbas ,  Michael Mathieson ,  Jingzhou Hua ,  Jon Degenhardt ,  Ramakrishnan Natarajan

IPC: G06F16/2457 ,  G06N20/00 ,  G06F16/951

Abstract: Various embodiments include systems and methods for search result ranking using machine learning. A goal model can be created using machine learning. Responsive to a search query, a plurality of data factors can be inputted into the goal model to create a model output. Search results can be presented to a user based on the model output.

公开(公告)号：US20150058331A1

公开(公告)日：2015-02-26

申请号：US14502089

申请日：2014-09-30

Applicant: eBay Inc.

Inventor： Parashuram Kulkarni ,  Abdelhalim Abbas ,  Michael Mathieson ,  Jingzhou Hua ,  Jon Degenhardt ,  Ramakrishnan Natarajan

IPC: G06F17/30 ,  G06N99/00

CPC classification number: G06F16/24578 ,  G06F16/951 ,  G06N20/00

Abstract: Various embodiments include systems and methods for search result ranking using machine learning. A goal model can be created using machine learning. Responsive to a search query, a plurality of data factors can be inputted into the goal model to create a model output. Search results can be presented to a user based on the model output.

Abstract translation: 各种实施例包括使用机器学习的搜索结果排序的系统和方法。 可以使用机器学习创建目标模型。 响应于搜索查询，可以将多个数据因子输入到目标模型中以创建模型输出。 搜索结果可以根据模型输出呈现给用户。