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    Detecting cross-lingual comparable listings
    1.
    发明授权
    Detecting cross-lingual comparable listings 有权

    公开(公告)号：US11526919B2

    公开(公告)日：2022-12-13

    申请号：US16405082

    申请日：2019-05-07

    Applicant: eBay Inc.

    Inventor： Sanjika Hewavitharana ,  Evgeny Matusov ,  Robinson Piramuthu ,  Hassan Sawaf

    IPC: G06N3/02 ,  G06F16/906 ,  G06F40/20 ,  G06F40/205 ,  G06F40/237 ,  G06F40/263 ,  G06F40/284 ,  G06F40/40 ,  G06F40/44 ,  G06Q30/06 ,  G06F40/58 ,  G06N20/00 ,  G06F16/50

    Abstract: In various example embodiments, a system and method for a Listing Engine that translates a first listing from a first language to a second language. The first listing includes an image(s) of a first item. The Listing Engine provides as input to an encoded neural network model a portion(s) of a translated first listing and a portions(s) of a second listing in the second language. The second listing includes an image(s) of a second item. The Listing Engine receives from the encoded neural network model a first feature vector for the translated first listing and a second feature vector for the second listing. The first and the second feature vectors both include at least one type of image signature feature and at least one type of listing text-based feature. Based on a similarity score of the first and second feature vectors at least meeting a similarity score threshold, the Listing Engine generates a pairing of the first listing in the first language with the second listing in the second language for inclusion in training data of a machine translation system.

    DETECTING CROSS-LINGUAL COMPARABLE LISTINGS FOR MACHINE TRANSLATION USING IMAGE SIMILARITY
    5.
    发明申请
    DETECTING CROSS-LINGUAL COMPARABLE LISTINGS FOR MACHINE TRANSLATION USING IMAGE SIMILARITY 审中-公开

    公开(公告)号：US20180075508A1

    公开(公告)日：2018-03-15

    申请号：US15264873

    申请日：2016-09-14

    Applicant: eBay Inc.

    Inventor： Sanjika Hewavitharana ,  Evgeny Matusov ,  Robinson Piramuthu ,  Hassan Sawaf

    IPC: G06Q30/06 ,  G06F17/28 ,  G06F17/27

    CPC classification number: G06Q30/0623 ,  G06F17/289 ,  G06F17/30244

    Abstract: In various example embodiments, a system and method for a Listing Engine that translates a first listing from a first language to a second language. The first listing includes an image(s) of a first item. The Listing Engine provides as input to an encoded neural network model a portion(s) of a translated first listing and a portions(s) of a second listing in the second language. The second listing includes an image(s) of a second item. The Listing Engine receives from the encoded neural network model a first feature vector for the translated first listing and a second feature vector for the second listing. The first and the second feature vectors both include at least one type of image signature feature and at least one type of listing text-based feature. Based on a similarity score of the first and second feature vectors at least meeting a similarity score threshold, the Listing Engine generates a pairing of the first listing in the first language with the second listing in the second language for inclusion in training data of a machine translation system.

    Automatic machine translation using user feedback
    7.
    发明授权
    Automatic machine translation using user feedback 有权
    自动机器翻译使用用户反馈

    公开(公告)号：US09569526B2

    公开(公告)日：2017-02-14

    申请号：US14194582

    申请日：2014-02-28

    Applicant: eBay Inc.

    Inventor： Hassan Sawaf

    IPC: G06F17/30 ,  G06Q30/06 ,  G06Q30/02 ,  G06F17/28

    CPC classification number: G06F17/30427 ,  G06F17/2818 ,  G06F17/289 ,  G06F17/30669 ,  G06Q30/0282 ,  G06Q30/0613 ,  G06Q30/0625

    Abstract: In a publication system, such as an ecommerce system, machine translation translates a query in a first language to a second language to query an ecommerce database maintained in the second language and obtain a result set responsive to the query. Human activity feedback relating to the result set is detected. If the feedback is positive the system increases the probability that the translation is correct. If the feedback is negative the system decreases the probability that the translation is correct. For positive feedback, the system detects whether a clue is recognized in the query. If a clue is recognized the system increases the value of the clue for making the translation. The system may detect the identity of the product in the query, accesses the product vendor website that is maintained in the first language, and detect information that is in the first language for use translation process.

    Abstract translation: 在诸如电子商务系统的出版系统中，机器翻译将第一语言的查询翻译成第二语言，以查询以第二语言维护的电子商务数据库，并且响应于查询获得结果集。 检测到与结果集有关的人类活动反馈。 如果反馈是肯定的，系统会增加翻译是正确的概率。 如果反馈为负，则系统会降低翻译正确的概率。 对于正反馈，系统检测查询中是否识别到线索。 如果一个线索被识别，系统会增加翻译的线索的价值。 该系统可以检测查询中的产品的身份，访问以第一语言维护的产品供应商网站，并检测处于第一语言的信息以用于翻译过程。

    VECTOR REPRESENTATION OF DESCRIPTIONS AND QUERIES
    10.
    发明申请
    VECTOR REPRESENTATION OF DESCRIPTIONS AND QUERIES 审中-公开

    公开(公告)号：US20170372398A1

    公开(公告)日：2017-12-28

    申请号：US15192323

    申请日：2016-06-24

    Applicant: eBay Inc.

    Inventor： Selcuk Kopru ,  Mingkuan Liu ,  Hassan Sawaf

    IPC: G06Q30/06 ,  G06F17/30 ,  G06N99/00

    CPC classification number: G06Q30/0627 ,  G06F16/951 ,  G06N20/00

    Abstract: In various example embodiments, a system and method for vector representation of descriptions and queries are presented. A query that includes one or more search terms is received. A vector that corresponds to the query is generated. An item vector that corresponds to a description of at least one published item listing is accessed. A distance in a common vector space is measured between the vector that corresponds to the query and the item vector. A match is determined based on the distance.

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