公开(公告)号：US10007944B2

公开(公告)日：2018-06-26

申请号：US15091727

申请日：2016-04-06

Applicant: eBay Inc.

Inventor： Brian Scott Johnson ,  Brian M. Johnson ,  Badrul M. Sarwar ,  Benny Soetarman ,  Rajyashree Mukherjee ,  Venkat Sundaranatha ,  Neelakantan Sundaresan ,  Randall Scott Shoup ,  Daniel Kramer ,  Jason M. Heidema ,  Musaab At-Taras ,  Alvaro Bolivar ,  Jean-David Ruvini

IPC: G06F17/30 ,  G06Q30/06 ,  G06Q30/02

CPC classification number: G06Q30/0623 ,  G06F16/24573 ,  G06F16/9535 ,  G06Q30/02 ,  G06Q30/0603 ,  G06Q30/0621 ,  G06Q30/0631

Abstract: A computer-implemented system and method for providing information tagging in a networked system is disclosed. The apparatus in an example embodiment includes a tag engine configured to process a database of categorized product listings; to receive a user-provided tag associated with at least one of the product listings; to retain the user-provided tag; and to serve the user-provided tag to a user viewing at least one of the product listings.

公开(公告)号：US20160080509A1

公开(公告)日：2016-03-17

申请号：US14951799

申请日：2015-11-25

Applicant: eBay Inc.

Inventor： Alvaro Bolivar ,  Xiaoyuan Wu ,  Jiaqian Zheng

IPC: H04L29/08 ,  G06Q30/02

Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

Abstract translation: 一种在基于网络的系统上向用户提供上下文建议的方法和系统。 例如，跟踪与基于网络的系统交互的用户相关联的活动。 至少部分地基于在基于网络的系统上的跟踪的用户活动，选择推荐关系类型。 推荐关系类型可以是替代关系类型或补体关系类型。 可以至少部分地基于推荐关系类型和由用户与基于网络的系统交互访问的第一对象来选择推荐对象。 可以为推荐的对象生成一个建议，以呈现给与基于网络的系统交互的用户。

公开(公告)号：US20160078098A1

公开(公告)日：2016-03-17

申请号：US14950843

申请日：2015-11-24

Applicant: eBay Inc.

Inventor： Xiaoyuan Wu ,  Alvaro Bolivar ,  Qiang Wang

IPC: G06F17/30 ,  G06Q30/06

CPC classification number: G06F17/30528 ,  G06F17/30247 ,  G06F17/3053 ,  G06Q30/0283 ,  G06Q30/0643

Abstract: Techniques for sharing item images based on a similarity score are described. For example, a machine receives an input item listing for an item from a user device. The machine accesses an existing image that may be associated with one or more existing item listings. The machine identifies a degree of similarity between the input item listing and the one or more existing item listings. The machine generates a similarity score for the existing image based on the degree of similarity. The machine selects one or more existing images corresponding to the one or more existing item listings based on the one or more existing images having corresponding similarity scores that exceed a threshold value. The machine transmits a communication to the user device in response to the receiving of the input item listing. The communication may include the one or more existing images.

Abstract translation: 描述了基于相似性分数共享项目图像的技术。 例如，机器从用户设备接收项目的输入项列表。 机器访问可能与一个或多个现有项目列表相关联的现有图像。 机器识别输入项目列表和一个或多个现有项目列表之间的相似程度。 该机器基于相似度生成现有图像的相似度分数。 基于具有超过阈值的相应相似度分数的一个或多个现有图像，机器选择与一个或多个现有项目列表相对应的一个或多个现有图像。 响应于接收到输入项目列表，机器向用户设备发送通信。 通信可以包括一个或多个现有图像。

公开(公告)号：US20140236879A1

公开(公告)日：2014-08-21

申请号：US14264654

申请日：2014-04-29

Applicant: eBay Inc.

Inventor： Alvaro Bolivar ,  Xiaoyuan Wu ,  Jiaqian Zheng

IPC: G06N5/02

CPC classification number: H04L67/22 ,  G06F17/30867 ,  G06N5/02 ,  G06Q30/0255 ,  H04L67/306

Abstract: A method and a system for making contextual recommendations to users on a network-based system. For example, activity associated with a user interacting with a network-based system is tracked. Based, at least in part, on the tracked user activity on the network-based system, a recommendation relationship type is selected. The recommendation relationship type can be either a substitute relationship type or a complement relationship type. A recommended object can be selected based at least in part on the recommendation relationship type and a first object accessed by the user interacting with the network-based system. A recommendation can be generated for the recommended object for presentation to the user interacting with the network-based system.

Abstract translation: 一种在基于网络的系统上向用户提供上下文建议的方法和系统。 例如，跟踪与基于网络的系统交互的用户相关联的活动被跟踪。 至少部分地基于在基于网络的系统上的跟踪的用户活动，选择推荐关系类型。 推荐关系类型可以是替代关系类型或补体关系类型。 可以至少部分地基于推荐关系类型和由用户与基于网络的系统交互访问的第一对象来选择推荐对象。 可以为推荐的对象生成一个建议，以呈现给与基于网络的系统交互的用户。