SEMANTIC SIGNATURES
    1.
    发明申请
    SEMANTIC SIGNATURES 审中-公开

    公开(公告)号:US20190080234A1

    公开(公告)日:2019-03-14

    申请号:US16109280

    申请日:2018-08-22

    Applicant: eBay Inc.

    Abstract: In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.

    Structured item organizing mechanism in e-commerce

    公开(公告)号:US10991024B2

    公开(公告)日:2021-04-27

    申请号:US16217642

    申请日:2018-12-12

    Applicant: eBay Inc.

    Inventor: Yingwei Xin

    Abstract: Systems and methods for organizing structured items in an e-commerce system are presented. In some aspects, the systems and methods may include a back-end structured item organizing system associated with a front-end category mapping system which is configured to process use case requests. In some aspects, a use case request may identify an item for classification by the back-end structured organizing system. In some aspects, the described systems and methods may select a listing bucket from a set of listing buckets of the back-end structured organizing system based on attribute values indicated in the use case request, and may cause a user interface of the front-end category mapping system to display one or more characteristics associated with items categorized within the selected listing bucket.

    STRUCTURED ITEM ORGANIZING MECHANISM IN E-COMMERCE

    公开(公告)号:US20230289861A1

    公开(公告)日:2023-09-14

    申请号:US18197630

    申请日:2023-05-15

    Applicant: eBay Inc.

    Inventor: Yingwei Xin

    Abstract: Systems and methods for organizing structured items in an e-commerce system are presented. In some aspects, the systems and methods may include a back-end structured item organizing system associated with a front-end category mapping system which is configured to process use case requests. In some aspects, a use case request may identify an item for classification by the back-end structured organizing system. In some aspects, the described systems and methods may select a listing bucket from a set of listing buckets of the back-end structured organizing system based on attribute values indicated in the use case request, and may cause a user interface of the front-end category mapping system to display one or more characteristics associated with items categorized within the selected listing bucket.

    DEEP HYBRID NEURAL NETWORK FOR NAMED ENTITY RECOGNITION

    公开(公告)号:US20190065460A1

    公开(公告)日:2019-02-28

    申请号:US15692392

    申请日:2017-08-31

    Applicant: eBay Inc.

    Abstract: In an example, a text sentence comprising a plurality of words is obtained. Each of the plurality of words is passed through a deep compositional character-to-word model to encode character-level information of each of the plurality of words into a character-to-word expression. The character-to-word expressions are combined with pre-trained word embeddings. The combined character-to-word expressions and pre-trained word embeddings are fed into one or more bidirectional long short-term memories to learn contextual information for each of the plurality of words. Then, sequential conditional random fields are applied to the contextual information for each of the plurality of words.

    Structured item organizing mechanism in e-commerce

    公开(公告)号:US11687991B2

    公开(公告)日:2023-06-27

    申请号:US17228006

    申请日:2021-04-12

    Applicant: eBay Inc.

    Inventor: Yingwei Xin

    Abstract: Systems and methods for organizing structured items in an e-commerce system are presented. In some aspects, the systems and methods may include a back-end structured item organizing system associated with a front-end category mapping system which is configured to process use case requests. In some aspects, a use case request may identify an item for classification by the back-end structured organizing system. In some aspects, the described systems and methods may select a listing bucket from a set of listing buckets of the back-end structured organizing system based on attribute values indicated in the use case request, and may cause a user interface of the front-end category mapping system to display one or more characteristics associated with items categorized within the selected listing bucket.

    Deep hybrid neural network for named entity recognition

    公开(公告)号:US11593558B2

    公开(公告)日:2023-02-28

    申请号:US15692392

    申请日:2017-08-31

    Applicant: eBay Inc.

    Abstract: In an example, a text sentence comprising a plurality of words is obtained. Each of the plurality of words is passed through a deep compositional character-to-word model to encode character-level information of each of the plurality of words into a character-to-word expression. The character-to-word expressions are combined with pre-trained word embeddings. The combined character-to-word expressions and pre-trained word embeddings are fed into one or more bidirectional long short-term memories to learn contextual information for each of the plurality of words. Then, sequential conditional random fields are applied to the contextual information for each of the plurality of words.

    Semantic signatures
    9.
    发明授权

    公开(公告)号:US11341405B2

    公开(公告)日:2022-05-24

    申请号:US16109280

    申请日:2018-08-22

    Applicant: eBay Inc.

    Abstract: In various embodiments, methods and systems for implementing a semantic signature system are provided. A semantic signature system provides a machine trained semantic representation (i.e., a semantic signature) of the context of a word, synonyms of the word, and weak and strong relationship of the word with other words. The semantic signature can be utilized to facilitate labeling a word that is ambiguous or previously unknown. In practice, the label can be used to more accurately categorize the word for later retrieval by a search or to more accurately provide search results for a search query that includes the word.

    STRUCTURED ITEM ORGANIZING MECHANISM IN E-COMMERCE

    公开(公告)号:US20210233142A1

    公开(公告)日:2021-07-29

    申请号:US17228006

    申请日:2021-04-12

    Applicant: eBay Inc.

    Inventor: Yingwei Xin

    Abstract: Systems and methods for organizing structured items in an e-commerce system are presented. In some aspects, the systems and methods may include a back-end structured item organizing system associated with a front-end category mapping system which is configured to process use case requests. In some aspects, a use case request may identify an item for classification by the back-end structured organizing system. In some aspects, the described systems and methods may select a listing bucket from a set of listing buckets of the back-end structured organizing system based on attribute values indicated in the use case request, and may cause a user interface of the front-end category mapping system to display one or more characteristics associated with items categorized within the selected listing bucket.

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