公开(公告)号：US10699320B2

公开(公告)日：2020-06-30

申请号：US15660131

申请日：2017-07-26

Applicant: Facebook, Inc.

Inventor： Wei Wu ,  Jiesi Luo ,  Lu Zheng

IPC: G06Q30/06 ,  G06Q50/00

Abstract: In one embodiment, a method includes, receiving a request, from a client system of a first user, to access a marketplace including products offered for sale by a second user. The method includes, by the computing device, filtering a set of product listings based on multiple respective product-listing embeddings and a content-interaction embedding associated with the first user. Each product listing includes a description of one of the products in the marketplace. The method includes ranking each product listing in the filtered set based at least on a product-score representing a likelihood of the first user interacting with the respective product. The product-score is based on interaction information associated with the first user, product information associated with the product, and sparse information associated with the first user. The method includes sending, to the client system of the first user, a subset of the ranked product listings.

公开(公告)号：US20160275554A1

公开(公告)日：2016-09-22

申请号：US14662222

申请日：2015-03-18

Applicant: Facebook, Inc.

Inventor： Feng Yan ,  Shyamsundar Rajaram ,  Hao Zhang ,  Lu Zheng ,  Tianshi Gao ,  David Michael Viner

IPC: G06Q30/02

CPC classification number: G06Q30/0255 ,  G06Q30/0277

Abstract: An online system tracks stores information identifying content provided by third party systems and accessed by online system users as well as interactions with advertisements performed by online system users. When the online system identifies an opportunity to present an advertisement to a viewing user, the online system identifies content from third party systems accessed by the viewing user and content from third party systems accessed by additional online system users who interacted with advertisements. A score is computed for various advertisements based at least in part on correlations between content from third party systems accessed by the viewing user and content from third party systems accessed by additional online system users who interacted with advertisements. The online system selects candidate advertisements to evaluate for presentation to the viewing user based on the scores.

Abstract translation: 在线系统跟踪识别由第三方系统提供并由在线系统用户访问的内容以及与在线系统用户执行的广告的交互的商店信息。 当在线系统识别向观看用户呈现广告的机会时，在线系统识别由观看用户访问的第三方系统的内容和来自与广告交互的其他在线系统用户访问的第三方系统的内容。 至少部分地基于由观看用户访问的来自第三方系统的内容与来自与由广告进行了互动的其他在线系统用户访问的第三方系统的内容的内容之间的相关性来计算各种广告的得分。 在线系统基于分数来选择候选广告来评估呈现给观看者。

公开(公告)号：US11157955B2

公开(公告)日：2021-10-26

申请号：US14662222

申请日：2015-03-18

Applicant: Facebook, Inc.

Inventor： Feng Yan ,  Shyamsundar Rajaram ,  Hao Zhang ,  Lu Zheng ,  Tianshi Gao ,  David Michael Viner

IPC: G06Q30/00 ,  G06Q30/02 ,  G05B19/418

Abstract: An online system tracks stores information identifying content provided by third party systems and accessed by online system users as well as interactions with advertisements performed by online system users. When the online system identifies an opportunity to present an advertisement to a viewing user, the online system identifies content from third party systems accessed by the viewing user and content from third party systems accessed by additional online system users who interacted with advertisements. A score is computed for various advertisements based at least in part on correlations between content from third party systems accessed by the viewing user and content from third party systems accessed by additional online system users who interacted with advertisements. The online system selects candidate advertisements to evaluate for presentation to the viewing user based on the scores.

公开(公告)号：US20190034994A1

公开(公告)日：2019-01-31

申请号：US15660131

申请日：2017-07-26

Applicant: Facebook, Inc.

Inventor： Wei Wu ,  Jiesi Luo ,  Lu Zheng

IPC: G06Q30/06 ,  G06Q50/00

CPC classification number: G06Q30/0631 ,  G06Q50/01

Abstract: In one embodiment, a method includes, receiving a request, from a client system of a first user, to access a marketplace including products offered for sale by a second user. The method includes, by the computing device, filtering a set of product listings based on multiple respective product-listing embeddings and a content-interaction embedding associated with the first user. Each product listing includes a description of one of the products in the marketplace. The method includes ranking each product listing in the filtered set based at least on a product-score representing a likelihood of the first user interacting with the respective product. The product-score is based on interaction information associated with the first user, product information associated with the product, and sparse information associated with the first user. The method includes sending, to the client system of the first user, a subset of the ranked product listings.