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公开(公告)号：US11170769B2
公开(公告)日：2021-11-09
申请号：US15926299
申请日：2018-03-20
Applicant: eBay Inc.
Inventor： Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
Abstract: Methods, systems, and computer programs are presented for detecting a mission changes in a conversation. A user utterance from a user device is received. The user utterance is part of a conversation with an intelligent assistant. The conversation includes preceding user utterances in pursuit of a first mission. It is determined that the user utterance indicates a mission change from the first mission to a second mission based on an application of a machine-learned model to the user utterance and the preceding user utterances. The machine-learned model has been trained repeatedly with past utterances of other users over a time period, the determining based on a certainty of the indication satisfying a certainty threshold. Responsive to the determining that the user utterance indicates the mission change from the first mission to a second mission, a reply to the user utterance is generated to further the second mission rather than the first mission.
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公开(公告)号：US20180329999A1
公开(公告)日：2018-11-15
申请号：US15681663
申请日：2017-08-21
Applicant: eBay Inc.
Inventor： Ajinkya Gorakhnath Kale , Thrivikrama Taula , Amit Srivastava , Sanjika Hewavitharana
CPC classification number: G06F17/30867 , G06F17/30477 , G06N5/02
Abstract: Methods and systems for query segmentation are disclosed. In one aspects, a method includes receiving, by one or more hardware processors, a query string, the query string comprising a plurality of tokens, identifying, by the one or more hardware processors, a first token and a second token from the plurality of tokens, determining, by the one or more hardware processors, a first vector and a second vector associated with the first token and the second token respectively, determining, by the one or more hardware processors, whether to include the first and second tokens in a single query segment based on the first and second vectors, generating, by the one or more hardware processors, a plurality of query segments based on the determination; and processing, by the one or more hardware processors, the query based on the plurality of query segments.
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3.发明申请公开(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
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.
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公开(公告)号：US12020701B2
公开(公告)日：2024-06-25
申请号：US17490788
申请日：2021-09-30
Applicant: eBay Inc.
Inventor： Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
CPC classification number: G10L15/22 , G06F16/3329 , G06F40/35 , G10L15/07 , G10L15/1815 , G10L15/26 , G10L2015/228
Abstract: Methods, systems, and computer programs are presented for detecting a mission changes in a conversation. A user utterance from a user device is received. The user utterance is part of a conversation with an intelligent assistant. The conversation includes preceding user utterances in pursuit of a first mission. It is determined that the user utterance indicates a mission change from the first mission to a second mission based on an application of a machine-learned model to the user utterance and the preceding user utterances. The machine-learned model has been trained repeatedly with past utterances of other users over a time period, the determining based on a certainty of the indication satisfying a certainty threshold. Responsive to the determining that the user utterance indicates the mission change from the first mission to a second mission, a reply to the user utterance is generated to further the second mission rather than the first mission.
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公开(公告)号：US11853703B2
公开(公告)日：2023-12-26
申请号：US17195888
申请日：2021-03-09
Applicant: eBay Inc.
Inventor： Don Kumudu Janaka Ranatunga , Marie Michelle Rhea Foster , Brandon An Lai , Sanjika Hewavitharana , Jason Diran , Canran Xu
IPC: G06F40/30 , G06N20/00 , H04L51/212
CPC classification number: G06F40/30 , G06N20/00 , H04L51/212
Abstract: Disclosed are systems and methods for receiving a plurality of comments at a particular phase of a transaction with a member of a networked system, classifying one or more of the plurality of comments into one of a set of predetermined sentiment classifications, applying a trained machine learning system to select a category from a set of predefined categories for each of the one or more comments, applying a natural language processing module to generate a sub-category for each of the one or more comments, associating the generated sub-categories with their respective categories for the one or more comments, and generating a display of the determined categories for the particular transaction with the generated sub-categories, each generated sub-category being graphically connected to their respective categories.
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Patent Agency Ranking
公开(公告)号：US10990764B2
公开(公告)日：2021-04-27
申请号：US16461125
申请日：2018-05-18
Applicant: eBay Inc.
Inventor： Don Kumudu Janaka Ranatunga , Marie Michelle Rhea Foster , Brandon An Lai , Sanjika Hewavitharana , Jason Diran , Canran Xu
Abstract: Disclosed are systems and methods for receiving a plurality of comments at a particular phase of a transaction with a member of a networked system, classifying one or more of the plurality of comments into one of a set of predetermined sentiment classifications, applying a trained machine learning system to select a category from a set of predefined categories for each of the one or more comments, applying a natural language processing module to generate a sub-category for each of the one or more comments, associating the generated sub-categories with their respective categories for the one or more comments, and generating a display of the determined categories for the particular transaction with the generated sub-categories, each generated sub-category being graphically connected to their respective categories.
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公开(公告)号：US10540357B2
公开(公告)日：2020-01-21
申请号：US15075392
申请日：2016-03-21
Applicant: eBay Inc.
Inventor： Selcuk Kopru , Sanjika Hewavitharana , Hassan Sawaf
IPC: G06F16/2455 , G06N7/00 , H04L29/06 , H04L29/08
Abstract: According to various embodiments, the Query Context Translation Engine identifies a topic of a search query history received during a current user session. The search query history in a first language. The Query Context Translation Engine identifies, in a translation table, target text that corresponds with a query in the search query history, the target text comprising at least one word. The Query Context Translation Engine obtains at least one search result based on a translation of the target text in a second language.
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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.
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公开(公告)号：US20210192145A1
公开(公告)日：2021-06-24
申请号：US17195888
申请日：2021-03-09
Applicant: eBay Inc.
Inventor： Don Kumudu Janaka Ranatunga , Marie Michelle Rhea Foster , Brandon An Lai , Sanjika Hewavitharana , Jason Diran , Canran Xu
Abstract: Disclosed are systems and methods for receiving a plurality of comments at a particular phase of a transaction with a member of a networked system, classifying one or more of the plurality of comments into one of a set of predetermined sentiment classifications, applying a trained machine learning system to select a category from a set of predefined categories for each of the one or more comments, applying a natural language processing module to generate a sub-category for each of the one or more comments, associating the generated sub-categories with their respective categories for the one or more comments, and generating a display of the determined categories for the particular transaction with the generated sub-categories, each generated sub-category being graphically connected to their respective categories.
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公开(公告)号：US20180268818A1
公开(公告)日：2018-09-20
申请号：US15926299
申请日：2018-03-20
Applicant: eBay Inc.
Inventor： Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
CPC classification number: G10L15/22 , G06F16/3329 , G06F17/279 , G10L15/07 , G10L15/1815 , G10L15/265 , G10L2015/228
Abstract: Methods, systems, and computer programs are presented for detecting a mission changes in a conversation. A user utterance from a user device is received. The user utterance is part of a conversation with an intelligent assistant. The conversation includes preceding user utterances in pursuit of a first mission. It is determined that the user utterance indicates a mission change from the first mission to a second mission based on an application of a machine-learned model to the user utterance and the preceding user utterances. The machine-learned model has been trained repeatedly with past utterances of other users over a time period, the determining based on a certainty of the indication satisfying a certainty threshold. Responsive to the determining that the user utterance indicates the mission change from the first mission to a second mission, a reply to the user utterance is generated to further the second mission rather than the first mission.
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