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公开(公告)号：US20210166290A1
公开(公告)日：2021-06-03
申请号：US17102194
申请日：2020-11-23
Applicant: eBay Inc.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.
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公开(公告)号：US20200242307A1
公开(公告)日：2020-07-30
申请号：US16845767
申请日：2020-04-10
Applicant: eBay Inc.
Inventor： Elizabeth Churchill , Atish Das Sarma , Corinne Sherman Stewart , Gyanit Singh
Abstract: A system comprising a computer-readable storage medium storing at least one program and a computer-implemented method for creating messages using generative grammar models is presented. A generative grammar model defining a message structure of requested message is accessed. The message structure includes a plurality of lexical slots. The generative grammar model includes a corpus of source data to populate each lexical slot in the plurality of lexical slots, and a grammatical constraint for each lexical slot in the plurality of lexical slots. A message is generated in accordance with the generative grammar model and the message is published.
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公开(公告)号：US10176406B2
公开(公告)日：2019-01-08
申请号：US15151435
申请日：2016-05-10
Applicant: eBay Inc.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
Abstract: A machine may be configured to perform image evaluation of images depicting items for online publishing. For example, the machine performing a user behavior analysis based on data pertaining to interactions by a plurality of users with a plurality of images pertaining to a particular type of item. The machine determines, based on the user behavior analysis, that a presentation type associated with one or more images of the plurality of images corresponds to a user behavior in relation to the one or more images. The machine determines that an item included in a received image is of the particular type of item. The machine generates an output for display in a client device. The output includes a reference to the received image and a recommendation of the presentation type for the item included in the received image, for publication by a web server of a publication system.
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公开(公告)号：US20180365750A1
公开(公告)日：2018-12-20
申请号：US16009626
申请日：2018-06-15
Applicant: eBay Inc.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
Abstract: A machine is configured to determine fashion preferences of users and to provide item recommendations based on the fashion preferences. For example, the machine accesses an indication of a fashion style of a user. The fashion style is determined based on automatically captured data pertaining to the user. The machine identifies, based on the fashion style, one or more fashion items from an inventory of fashion items. The machine generates one or more selectable user interface elements for inclusion in a user interface. The one or more user interface elements correspond to the one or more fashion items. The machine causes generation and display of the user interface that includes the one or more selectable user interface elements. A selection of a selectable user interface element results in display of a combination of an image of a particular fashion item and an image of an item worn by the user.
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公开(公告)号：US09817903B2
公开(公告)日：2017-11-14
申请号：US14553853
申请日：2014-11-25
Applicant: eBay Inc.
Inventor： Michael Gilbert , Elizabeth Churchill
CPC classification number: G06F17/30867 , G06F17/30424 , G06F17/3053
Abstract: Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.
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Patent Agency Ranking
公开(公告)号：US09804741B2
公开(公告)日：2017-10-31
申请号：US14553918
申请日：2014-11-25
Applicant: eBay Inc.
Inventor： Michael Gilbert , Elizabeth Churchill , Kent Andrew Edmonds , Michael Parker
IPC: G06F7/00 , G06F17/30 , G06F3/0482 , G06F3/0484
CPC classification number: G06F3/0482 , G06F3/04842 , G06F17/30554 , G06F17/30867
Abstract: Systems and methods are presented for evaluating and incorporating a plurality of input streams into a single input stream. In some embodiments, the system generates a first set of recommendations provided by a plurality of input streams and receives one or more selections of recommendations from the first set of input streams. The system determines a session intent based on the one or more selections and selects a set of input streams, from the plurality of input streams, corresponding to the one or more selection and the session intent. The system generates a second set of recommendations using the set of input streams and the session intent and causes presentation of the second set of recommendations on a user interface of a user device.
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公开(公告)号：US20160147892A1
公开(公告)日：2016-05-26
申请号：US14553853
申请日：2014-11-25
Applicant: eBay Inc.
Inventor： Michael Gilbert , Elizabeth Churchill
IPC: G06F17/30
CPC classification number: G06F17/30867 , G06F17/30424 , G06F17/3053
Abstract: Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.
Abstract translation: 提出了系统和方法，用于通过用户行为的多层次社交网络分析来生成建议。 在一些实施例中，系统从多个用户接收在一组数据对象上执行的一组用户交互; 在该组数据对象之间生成一组关联; 并且识别指示该组关联的一组数据对象簇。 该系统基于一组关联和一组数据对象集群来生成该组数据对象的组织，并且基于该用户设备的用户界面，在该用户设备的用户界面上呈现该组数据对象的多个数据对象 组织。
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18.发明申请公开(公告)号：US20160092893A1
公开(公告)日：2016-03-31
申请号：US14563828
申请日：2014-12-08
Applicant: eBay Inc.
Inventor： Hugo Liu , Elizabeth Churchill
CPC classification number: G06Q30/0202 , G06F16/9535 , G06Q30/0631
Abstract: The present disclosure is directed to apparatuses, systems, and methods for predicting item characteristic popularity—i.e., identifying item characteristics (e.g., item brands, item types, etc.) that are to eventually become popular. Something that is to eventually become popular is referred to herein as “pre-trend” or “cool.” In the embodiments described herein, electronic marketplace transaction data is analyzed to identify popular characteristics of items involved in recent transactions. The electronic marketplace transaction data is further analyzed to identify one or more users that executed transactions for items having these popular characteristics during a previous time period. These users' transaction histories are analyzed to determine what other item characteristics are prevalent in their more recent transactions, as these item characteristics can be identified as pre-trend/cool.
Abstract translation: 本公开涉及用于预测项目特征流行度的装置，系统和方法，即识别最终变得流行的项目特征（例如，项目品牌，项目类型等）。 最终变得流行的东西在本文中被称为“前趋势”或“酷”。在本文所述的实施例中，分析电子市场交易数据以识别最近交易中涉及的物品的流行特征。 进一步分析电子市场交易数据以识别在前一时间段内对具有这些流行特征的物品执行交易的一个或多个用户。 对这些用户的交易历史进行分析，以确定其最近交易中其他项目特征是否普遍存在，因为这些项目特征可以被识别为前趋势/趋势。
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公开(公告)号：US12131342B2
公开(公告)日：2024-10-29
申请号：US17886648
申请日：2022-08-12
Applicant: eBay Inc.
Inventor： Wei Di , Vignesh Jagadeesh , Robinson Piramuthu , Elizabeth Churchill , Anurag Bhardwaj
IPC: G06K9/00 , G06F16/58 , G06F16/583 , G06F16/60 , G06F16/63 , G06F18/24 , G06F18/2415 , G06Q30/0201 , G06Q30/0601 , G06V30/192 , G06V30/198
CPC classification number: G06Q30/0201 , G06F16/58 , G06F16/5854 , G06F16/60 , G06F16/63 , G06F18/24 , G06F18/2415 , G06Q30/0601 , G06Q30/0613 , G06V30/192 , G06V30/198
Abstract: A machine may be configured to perform image evaluation of images depicting items for sale and to provide recommendations for improving the images depicting the items to increase the sales of the items depicted in the images. For example, the machine accesses a result of a user behavior analysis. The machine receives an image of an item from a user device. The machine performs an image evaluation of the received image based on an analysis of the received image and the result of the user behavior analysis. The performing of the image evaluation may include determining a likelihood of a user engaging in a desired user behavior in relation to the received image. Then, the machine generates, based on the evaluation of the received image, an output that references the received image and indicates the likelihood of a user engaging in the desired behavior.
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公开(公告)号：US11829430B2
公开(公告)日：2023-11-28
申请号：US17005679
申请日：2020-08-28
Applicant: eBay Inc.
Inventor： Michael Gilbert , Elizabeth Churchill
IPC: G06F16/9535 , G06F16/245 , G06F16/2457
CPC classification number: G06F16/9535 , G06F16/245 , G06F16/24578
Abstract: Systems and methods are presented for generating recommendations using multi-level social network analysis of user behavior. In some embodiments, the system receives a set of user interactions, from a plurality of users, performed on a set of data objects; generates a set of associations between the set of data objects; and identifies a set of data object clusters indicative of the set of associations. The system generates an organization of the set of data objects based on the set of associations and the set of data object clusters and causes presentation of a plurality of data objects of the set of data objects on a user interface of a user device based on the organization.
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