Dissimilar but relevant search engine results

    公开(公告)号:US11042595B2

    公开(公告)日:2021-06-22

    申请号:US15585967

    申请日:2017-05-03

    Applicant: eBay Inc.

    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.

    SYSTEM AND METHOD FOR IDENTIFYING MISCATEGORIZATION

    公开(公告)号:US20230252035A1

    公开(公告)日:2023-08-10

    申请号:US18136867

    申请日:2023-04-19

    Applicant: eBay Inc.

    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.

    SYSTEM AND METHOD FOR IDENTIFYING MISCATEGORIZATION

    公开(公告)号:US20180329913A1

    公开(公告)日:2018-11-15

    申请号:US15984059

    申请日:2018-05-18

    Applicant: eBay Inc.

    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.

    System and method for identifying miscategorization

    公开(公告)号:US09996590B2

    公开(公告)日:2018-06-12

    申请号:US14986172

    申请日:2015-12-31

    Applicant: eBay Inc.

    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.

    PRODUCT FEEDBACK EVALUATION AND SORTING
    17.
    发明申请

    公开(公告)号:US20170364967A1

    公开(公告)日:2017-12-21

    申请号:US15282571

    申请日:2016-09-30

    Applicant: eBay Inc.

    CPC classification number: G06Q30/0282 G06N20/00

    Abstract: In various example embodiments, a system and method for evaluating and sorting product feedback is presented. In one example, a system includes a learning module to train a machine learning system on feedback from a plurality of users, the machine learning system configured to generate a quality rating for individual feedback, a feedback module to collect feedback for a specific product available from the online network based marketplace and apply the machine learning system to generate a quality rating for each feedback collected, and a sorting module to sort the feedback collected according to the quality ratings generated by the machine learning system.

    SYSTEM AND METHOD FOR IDENTIFYING MISCATEGORIZATION

    公开(公告)号:US20170192975A1

    公开(公告)日:2017-07-06

    申请号:US14986172

    申请日:2015-12-31

    Applicant: eBay Inc.

    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.

    DIVERSIFYING SEARCH RESULTS
    19.
    发明申请
    DIVERSIFYING SEARCH RESULTS 有权
    多样化的搜索结果

    公开(公告)号:US20160147755A1

    公开(公告)日:2016-05-26

    申请号:US14550708

    申请日:2014-11-21

    Applicant: eBay Inc.

    CPC classification number: G06F17/30867

    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.

    Abstract translation: 公开了一种包括存储至少一个程序的计算机可读存储介质和用于生成搜索结果的计算机实现的方法的系统。 数据访问模块访问指示多个项目并且指示多个项目的排序值的搜索结果数据。 控制器模块根据搜索结果数据生成页面数据。 控制器模块从多个项目中选择第一项目。 多元化模块访问页面数据的第一规则。 多元化模块从多个项目确定第二项目的偏离值和重新排序成本值。 控制器模块可以至少基于偏差的第一组合和第二项的重新排序成本值来选择用于在页面数据上的第一项之前的位置的第二项。

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