-
公开(公告)号：US20210271723A1
公开(公告)日：2021-09-02
申请号：US17323261
申请日：2021-05-18
Applicant: eBay Inc.
Inventor： Daniel David Miranda , Amit Jaiswal , David Goldberg
IPC: G06F16/9535 , H04L29/08 , G06F16/838 , G06F16/9532 , G06F16/903 , G06F16/28 , G06F16/2457
Abstract: A search engine is configured to return search results with increased diversity among the search results. When a query is received from a client device, items are identified as search results for the query and grouped into categories. The categories are also grouped into classes. A user interface is generated with items grouped together by category and categories grouped together by class. The user interface is returned to the client device as a response to the query.
-
公开(公告)号：US20180293321A1
公开(公告)日：2018-10-11
申请号：US16007350
申请日：2018-06-13
Applicant: eBay Inc.
Inventor： David Goldberg , Miroslav Melichar , Michael Ching , Davide Libenzi
IPC: G06F17/30
Abstract: Disclosed is 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：US20180018400A1
公开(公告)日：2018-01-18
申请号：US15209445
申请日：2016-07-13
Applicant: eBay Inc.
Inventor： Alex Cozzi , David Goldberg
IPC: G06F17/30 , G06F3/0484 , H04L29/08
CPC classification number: G06F16/9577 , G06F3/04842 , G06F16/24578 , G06F16/958 , H04L67/02 , H04L67/22
Abstract: Embodiments of the present disclosure can be used to compensate for presentation bias and estimate click-through rates for content objects in different positions on an Internet web page. Among other things, this allows Internet web page content to be positioned on the web page without necessitating extensive real-world testing, thereby providing better content to users more quickly and efficiently than conventional systems.
-
公开(公告)号：US20170323022A1
公开(公告)日：2017-11-09
申请号：US15585967
申请日：2017-05-03
Applicant: eBay Inc.
Inventor： Daniel David Miranda , Amit Jaiswal , David Goldberg
CPC classification number: G06F16/9535 , H04L67/025 , H04L67/22 , H04L67/306
Abstract: A search engine is configured to return increased diversity results based on past user interactions with search results. For a given query, historical data is analyzed to generate an item score describing a past quantity of users that navigated to a given page of an item. The historical data can further be used to generate a category score describing a past quantity of users that navigated to a given category of items. The category of items can be analyzed to generate a diversity score describing their diversity with respect to each other. Results for the given query can be arranged using items scores, category scores, and diversity scores.
-
公开(公告)号：US20170193579A1
公开(公告)日：2017-07-06
申请号：US14986203
申请日：2015-12-31
Applicant: eBay Inc.
Inventor： David Goldberg , Yuanjie Liu , Xiaoyuan Wu , Nadia Vase
CPC classification number: G06Q30/0625 , G06Q30/0201
Abstract: In various example embodiments, a system and method for computing price demand of a query that can be used by a search system to rank search results. Computing a user event aggregation by contribution for each of the past user sessions to produce updated session-based sets of user events based on a condition related to a general-specific relationship between two queries in a past user session. Computing a user event aggregation of queries from multiple sessions to combine the updated session-based sets of user events for a same query from the past user sessions to produce multiple session sets of user events for each query. The multiple session sets of user events for a query defining price points used in determining price demand for the query.
-
Patent Agency Ranking
公开(公告)号：US20170193072A1
公开(公告)日：2017-07-06
申请号：US14984578
申请日：2015-12-30
Applicant: eBay Inc.
Inventor： Nadia Vase , David Goldberg
CPC classification number: G06N20/00 , G06F16/3334 , G06N7/005
Abstract: In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received. The assigned probabilities for the arbitrary query is retrieved. The assigned probabilities is based on a probability model for a query feature. A score is computed for the query feature based on the assigned probabilities for the arbitrary query.
-
公开(公告)号：US11663225B2
公开(公告)日：2023-05-30
申请号：US17402034
申请日：2021-08-13
Applicant: eBay Inc.
Inventor： Dingxian Wang , David Goldberg , Xiaoyuan Wu , Yuanjie Liu
IPC: G06F16/2457 , G06N20/00 , G06F16/2455 , 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：US11593855B2
公开(公告)日：2023-02-28
申请号：US14984578
申请日：2015-12-30
Applicant: eBay Inc.
Inventor： Nadia Vase , David Goldberg
IPC: G06N20/00 , G06Q30/0601 , G06F16/33 , G06N7/00
Abstract: In various example embodiments, a system and method for computing a query feature score that can be used by a machine learning algorithm to rank search results is described. A query is received. The assigned probabilities for the arbitrary query is retrieved. The assigned probabilities is based on a probability model for a query feature. A score is computed for the query feature based on the assigned probabilities for the arbitrary query.
-
公开(公告)号：US20210374150A1
公开(公告)日：2021-12-02
申请号：US17402034
申请日：2021-08-13
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：US11188601B2
公开(公告)日：2021-11-30
申请号：US16007350
申请日：2018-06-13
Applicant: eBay Inc.
Inventor： David Goldberg , Miroslav Melichar , Michael Ching , Davide Libenzi
IPC: G06F16/00 , G06F16/9535
Abstract: Disclosed is 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.
-
-
-
-
-
-
-
-
-
Search Results
27
records
(took 0.03 seconds)
