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    Snippet generation and item description summarizer
    2.
    发明授权
    Snippet generation and item description summarizer 有权

    公开(公告)号：US10521509B2

    公开(公告)日：2019-12-31

    申请号：US15237091

    申请日：2016-08-15

    Applicant: eBay Inc.

    Inventor： Chandra Prakash Khatri ,  Selcuk Kopru ,  Nish Parikh ,  Justin Nicholas House ,  Sameep Navin Solanki

    IPC: G06F17/27 ,  G06F17/24 ,  G06F16/36 ,  G06F16/33 ,  G06F16/34

    Abstract: In various example embodiments, a system and method for a Target Language Engine are presented. The Target Language Engine augments a synonym list in a base dictionary of a target language with one or more historical search queries previously submitted to search one or more listings in listing data. The Target Language Engine identifies a compound word and a plurality of words present in the listing data that have a common meaning in the target language. Each word from the plurality of words is present in the compound word. The Target Language Engine causes a database to create an associative link between the portion of text and a word selected from at least one of the synonym list or the plurality of words.

    DATABASE SEARCH OPTIMIZER AND THEMED FILTERS
    3.
    发明申请
    DATABASE SEARCH OPTIMIZER AND THEMED FILTERS 审中-公开

    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.

    SNIPPET GENERATION AND ITEM DESCRIPTION SUMMARIZER
    4.
    发明申请
    SNIPPET GENERATION AND ITEM DESCRIPTION SUMMARIZER 有权

    公开(公告)号：US20210056265A1

    公开(公告)日：2021-02-25

    申请号：US17092509

    申请日：2020-11-09

    Applicant: eBay Inc.

    Inventor： Chandra Prakash Khatri ,  Selcuk Kopru ,  Nish Parikh ,  Justin Nicholas House ,  Sameep Navin Solanki

    IPC: G06F40/284 ,  G06F16/36 ,  G06F16/33 ,  G06F16/34 ,  G06F40/169 ,  G06F40/242

    Abstract: In various example embodiments, a system and method for a Target Language Engine are presented. The Target Language Engine augments a synonym list in a base dictionary of a target language with one or more historical search queries previously submitted to search one or more listings in listing data. The Target Language Engine identifies a compound word and a plurality of words present in the listing data that have a common meaning in the target language. Each word from the plurality of words is present in the compound word. The Target Language Engine causes a database to create an associative link between the portion of text and a word selected from at least one of the synonym list or the plurality of words.

    Identifying missing browse nodes
    6.
    发明授权
    Identifying missing browse nodes 有权

    公开(公告)号：US11636135B2

    公开(公告)日：2023-04-25

    申请号：US17323617

    申请日：2021-05-18

    Applicant: eBay Inc.

    Inventor： Atiq Islam ,  Nish Parikh ,  Neeraj Garg

    IPC: G06F16/28 ,  G06F16/248 ,  G06F16/2455 ,  G06F16/2457 ,  G06F16/951 ,  G06Q30/06 ,  G06Q30/0601

    Abstract: Systems and methods generate browse node pages. A combination of a category and one or more aspects is identified by analyzing historical user behavior data associated with a network-based system. A determination is made regarding whether existing browse node pages for the network-based system includes a browse node page for the identified combination. Each browse node page for the network-based system is accessible by a respective uniform resource location (URL) and provides a grouping of items in a respective category with one or more respective aspects. Based on a determination that a browse node page does not exist for the identified combination of the category and the one or more aspects, a browse node page for the identified combination is generated. The generated browse node page corresponds with a URL and provides items matching the identified combination of the category and the one or more aspects.

    Identifying missing browse nodes
    7.
    发明授权
    Identifying missing browse nodes 有权

    公开(公告)号：US11080302B2

    公开(公告)日：2021-08-03

    申请号：US15290283

    申请日：2016-10-11

    Applicant: eBay Inc.

    Inventor： Atiq Islam ,  Nish Parikh ,  Neeraj Garg

    IPC: G06F16/28 ,  G06F16/248 ,  G06F16/2455 ,  G06F16/2457 ,  G06F16/951 ,  G06Q30/06

    Abstract: To improve the user experience, browse nodes for popular combinations of categories and aspects are desirable. When a particular combination of category and aspects is found to have been requested at a frequency that exceeds a threshold, the existence of a browse node for that combination is checked and, if the browse node is missing, a request to create the browse node is generated. In some example embodiments, an entire set of missing browse nodes is generated based on recognition of a pattern of category and aspect combinations being requested.

    SNIPPET EXTRACTOR: RECURRENT NEURAL NETWORKS FOR TEXT SUMMARIZATION AT INDUSTRY SCALE
    8.
    发明申请
    SNIPPET EXTRACTOR: RECURRENT NEURAL NETWORKS FOR TEXT SUMMARIZATION AT INDUSTRY SCALE 审中-公开

    公开(公告)号：US20200320370A1

    公开(公告)日：2020-10-08

    申请号：US16857958

    申请日：2020-04-24

    Applicant: eBay Inc.

    Inventor： Chandra Prakash Khatri ,  Nish Parikh ,  Sameep Navin Solanki ,  Justin Nicholas House ,  Gyanit Singh

    IPC: G06N3/04 ,  G06F16/34

    Abstract: Systems, methods and media are provided for training a snippet extractor to create snippets based on information extracted from published descriptions. In one example, a computer-implemented method includes creating, based on a non-RNN (Recurrent Neural Network) extraction technique performed on the published descriptions, a plurality of base models, each base model including one or more sample description summaries; evaluating the base models using an evaluation technique; selecting an optimum base model; developing a classification model using RNN extraction, the classification model based on description summaries contained in the optimum base model; and using the classification model to train the snippet extractor by machine learning.

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