公开(公告)号：US11126631B2

公开(公告)日：2021-09-21

申请号：US15984059

申请日：2018-05-18

Applicant: eBay Inc.

Inventor： Dingxian Wang ,  David Goldberg ,  Xiaoyuan Wu ,  Yuanjie Liu

IPC: G06F16/2457 ,  G06N20/00 ,  G06F16/2455 ,  G06Q10/06 ,  G06Q30/00

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

公开(公告)号：US20160188660A1

公开(公告)日：2016-06-30

申请号：US14588307

申请日：2014-12-31

Applicant: eBay Inc.

Inventor： Yuanjie Liu ,  Xiaoyuan Wu ,  Michael Ching ,  Song Feng ,  Joseph Anthony Beynon ,  David Goldberg

IPC: G06F17/30

CPC classification number: G06F16/9535 ,  G06F16/335

Abstract: Techniques for determining search results based on session based refinements are presented herein. A method is disclosed that includes receiving a query in a user session, the query comprising one or more search parameters, detecting, in the user session and after receiving the query, a user event, updating, for each previous query in the user session that includes one or more of the search parameters, a record in a table for the query, the record storing a count of user events that match the user event, updating a score for each of the previous queries based on the count of user events, the respective records further storing the score, and ranking search results for a subsequent query based on the scores in the table, the subsequent query including the one or more search parameters.

Abstract translation: 本文介绍了基于会话优化来确定搜索结果的技术。 公开了一种方法，其包括在用户会话中接收查询，所述查询包括一个或多个搜索参数，在用户会话中检测并在接收到查询之后，检测用户事件，为用户会话中的每个先前查询更新， 包括搜索参数中的一个或多个，用于查询的表中的记录，记录存储与用户事件匹配的用户事件的计数，基于用户事件的计数来更新每个先前查询的分数， 相应的记录还存储分数，并且基于表中的分数对后续查询的搜索结果进行排序，后续查询包括一个或多个搜索参数。

公开(公告)号：US12079227B2

公开(公告)日：2024-09-03

申请号：US18136867

申请日：2023-04-19

Applicant: eBay Inc.

Inventor： Dingxian Wang ,  David Goldberg ,  Xiaoyuan Wu ,  Yuanjie Liu

IPC: G06F16/2457 ,  G06F16/2455 ,  G06N20/00 ,  G06Q10/06 ,  G06Q30/00

CPC classification number: G06F16/24578 ,  G06F16/2455 ,  G06N20/00 ,  G06Q10/06 ,  G06Q30/00

Abstract: A categorization analysis system is provided. The categorization analysis system includes one or more hardware processors, a memory including a first plurality of listings categorized in a first target category, and a categorization analysis engine executing on the one or more hardware processors. The categorization analysis engine is configured to determine a label for each listing including performing a search on title, select a set of training listings based on the determined labels, train a first model using the set of training listings and the determined labels, the first model being a classification model configured to classify categorization of listings, identify a suspect listing categorized in the first target category, apply the suspect listing to the first model, thereby generating a categorization result for the suspect listing, the categorization result indicating miscategorization of the suspect listing, and identify the suspect listing in the memory as miscategorized.

公开(公告)号：US10019523B2

公开(公告)日：2018-07-10

申请号：US14550708

申请日：2014-11-21

Applicant: eBay Inc.

Inventor： David Goldberg ,  Miroslav Melichar ,  Michael Ching ,  Davide Libenzi

IPC: G06F17/30

CPC classification number: G06F16/9535

Abstract: Disclosed are a system comprising a computer-readable storage medium storing at least one program, and a computer-implemented method for generating search results. A data access module accesses search results data indicative of a plurality items and that is indicative of ranking values of the plurality of items. A controller module generates page data based on the search results data. The controller module selects a first item from the plurality of items. A diversification module accesses a first rule of the page data. The diversification module determines a deviance value and a reordering-cost value of a second item from the plurality of items. The controller module can select, based at least on a first combination of the deviance and the reordering-cost values of the second item, the second item for placement ahead of the first item on the page data.

公开(公告)号：US09984151B2

公开(公告)日：2018-05-29

申请号：US14588290

申请日：2014-12-31

Applicant: eBay Inc.

Inventor： Yuanjie Liu ,  Xiaoyuan Wu ,  Michael Ching ,  Song Feng ,  Joseph Anthony Beynon ,  David Goldberg

IPC: G06F17/30

CPC classification number: G06F17/30646

Abstract: Techniques for determining search results based on session based refinements are presented herein. A method is disclosed that includes receiving a query in a user session, the query comprising one or more search parameters, detecting, in the user session and after receiving the query, a user event associated with a property of an item, updating a record in a table that associates the query with the property, the table comprising a plurality of records that associate the query with respective item properties, the record comprising the query, the property, and a score, and ranking search results for a subsequent query based on the associated properties indicated in the plurality of records, the subsequent query including the one or more search parameters.

公开(公告)号：US20170322971A1

公开(公告)日：2017-11-09

申请号：US15585986

申请日：2017-05-03

Applicant: eBay Inc.

Inventor： Narayanan Seshadri ,  Gyanit Singh ,  Justin Nicholas House ,  Nish Parikh ,  David Goldberg ,  Daniel Fain ,  Huai-ter Chong ,  Stephen Neola ,  Jonas Oscar Klink

IPC: G06F17/30 ,  G06F3/0484 ,  G06F3/0481

Abstract: In various example embodiments, a system and method for retrieving database records are presented. A method includes receiving an access request for database records, identifying a primary database record corresponding to the access request, and selecting a set of secondary database records corresponding to a portion of the access request. The method determines a set of differentiating elements within records of the set of secondary database records. Each differentiating element distinguishes at least one record of the set of secondary database records from one or more of the primary database record and a portion of the records included in the set of secondary database records. The method generates a formatted search interface including a set of selectable interface icons representing one or more differentiating elements and causes presentation of the formatted search interface at a client device associated with the access request.

公开(公告)号：US09760901B2

公开(公告)日：2017-09-12

申请号：US14202365

申请日：2014-03-10

Applicant: eBay Inc.

Inventor： Alpha Kamchiu Luk ,  Michael Ching ,  Ben Chisell ,  Johannes Braun ,  Tom Pugh ,  Tom Wagstaff ,  Shervin Moghaddam ,  Yu Liu ,  Vinayak Agarwal ,  Gajanan Adalinge ,  David Goldberg

IPC: G06Q30/00 ,  G06Q30/02 ,  G06Q30/08 ,  G06Q40/04

CPC classification number: G06Q30/0202 ,  G06Q30/08 ,  G06Q40/04

Abstract: Systems and methods to predict bidding behavior are described. The system identifies a listing that includes listing information that describes an item that is being auctioned on a network-based marketplace. The system further identifies bid classification information based on the number of bids received for the item. Finally, the system predicts whether no more bids are expected to be received for the item based on the classification information.