公开(公告)号：US20160306890A1

公开(公告)日：2016-10-20

申请号：US15193892

申请日：2016-06-27

Applicant: eBay Inc.

Inventor： Ted Tao Yuan ,  Michael Mathieson ,  Parashuram Kulkarni

IPC: G06F17/30

CPC classification number: G06F16/9535 ,  G06F16/24578 ,  G06F16/951

Abstract: A system and method for generating a score for a listing are described. A data field of a listing is parsed and at least one element from the data field is generated. A score for the listing is calculated based on the at least one element, the listing score representing a probability of the listing being in one of two binary classifications. The listing score and one or more listing attribute values are inputted into a binary classifier. An output is generated using the binary classifier, the output representing a refined score for the listing based on the listing score and at least one of the listing attribute values.

Abstract translation: 描述用于生成列表的得分的系统和方法。 解析列表的数据字段，并生成来自数据字段的至少一个元素。 基于至少一个元素计算列表的分数，列表分数表示列表在两个二进制分类之一中的概率。 列表得分和一个或多个列表属性值被输入到二进制分类器中。 使用二进制分类器生成输出，输出表示基于列表分数和列表属性值中的至少一个的列表的精简分数。

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。