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公开(公告)号：US20230214590A1
公开(公告)日：2023-07-06
申请号：US18120557
申请日：2023-03-13
Applicant: eBay Inc.
Inventor： Dishan Gupta , Ajinkya Gorakhnath Kale , Stefan Boyd Schoenmackers , Amit Srivastava
IPC: G06F40/274 , G06F40/279
CPC classification number: G06F40/274 , G06F40/279
Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).
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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：US20190156177A1
公开(公告)日：2019-05-23
申请号：US15859239
申请日：2017-12-29
Applicant: eBay Inc.
Inventor： Farah Abdallah , Robert Enyedi , Amit Srivastava , Elaine Lee , Braddock Craig Gaskill , Tomer Lancewicki , Xinyu Zhang , Jayanth Vasudevan , Dominique Jean Bouchon
Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.
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公开(公告)号：US20190034412A1
公开(公告)日：2019-01-31
申请号：US15665133
申请日：2017-07-31
Applicant: eBay Inc.
Inventor： Dishan Gupta , Ajinkya Gorakhnath Kale , Stefan Boyd Schoenmackers , Amit Srivastava
Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).
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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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Patent Agency Ranking
公开(公告)号：US20240169151A1
公开(公告)日：2024-05-23
申请号：US18428431
申请日：2024-01-31
Applicant: eBay Inc.
Inventor： Dishan Gupta , Ajinkya Gorakhnath Kale , Stefan Boyd Schoenmackers , Amit Srivastava
IPC: G06F40/274 , G06F40/279 , G06V30/194
CPC classification number: G06F40/274 , G06F40/279 , G06V30/194
Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).
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公开(公告)号：US20240095490A1
公开(公告)日：2024-03-21
申请号：US18523674
申请日：2023-11-29
Applicant: eBay Inc.
Inventor： Farah Abdallah , Robert Enyedi , Amit Srivastava , Elaine Lee , Braddock Craig Gaskill , Tomer Lancewicki , Xinyu Zhang , Jayanth Vasudevan , Dominique Jean Bouchon
IPC: G06N3/006 , G06F16/248 , G06F16/50 , G06F16/9032 , G06F40/30 , G06N20/00 , G06Q10/10 , G06Q30/0251 , G06Q30/0601
CPC classification number: G06N3/006 , G06F16/248 , G06F16/50 , G06F16/90332 , G06F40/30 , G06N20/00 , G06Q10/10 , G06Q30/0256 , G06Q30/0601 , G06Q30/0625
Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data is then received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.
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公开(公告)号：US11144811B2
公开(公告)日：2021-10-12
申请号：US15859239
申请日：2017-12-29
Applicant: eBay Inc.
Inventor： Farah Abdallah , Robert Enyedi , Amit Srivastava , Elaine Lee , Braddock Craig Gaskill , Tomer Lancewicki , Xinyu Zhang , Jayanth Vasudevan , Dominique Jean Bouchon
IPC: G06F3/048 , G06N3/00 , G06F16/50 , G06Q30/06 , G06Q30/02 , G06F16/9032 , G06Q10/10 , G06F40/30 , G06N20/00 , G06F16/248
Abstract: Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.
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公开(公告)号：US20210263943A1
公开(公告)日：2021-08-26
申请号：US17318653
申请日：2021-05-12
Applicant: eBay Inc.
Inventor： Ajinkya Gorakhnath Kale , Thrivikrama Taula , Amit Srivastava
IPC: G06F16/2457 , G06F16/9535 , G06F16/28
Abstract: Various methods and systems for determining a dominant object of a query and employing the dominant object to provide enhanced search services are discussed. A query is segmented into a set of n_grams. Entity extraction and resolution (EER) methods are employed to determine implicit and explicit aspects for each n_gram. N_grams that include explicit aspects are pruned from the set of n_grams and a pruned set of candidate n_grams is generated from the non-pruned n_grams. Knowledge graphs are employed to generate a ranked list of associated categories for each candidate n_gram. A ranked list of categories associated with the un-segmented query is generated based on knowledge graphs. The candidate n_gram with the highest ranked associated category that is also a highly ranked category associated with the un-segmented query is selected as the dominant object of the query. Enhanced search results are provided based on the determined dominant object.
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公开(公告)号：US20200210645A1
公开(公告)日：2020-07-02
申请号：US16799681
申请日：2020-02-24
Applicant: eBay Inc.
Inventor： Dishan Gupta , Ajinkya Gorakhnath Kale , Stefan Boyd Schoenmackers , Amit Srivastava
IPC: G06F40/279 , G06K9/66 , G06F40/274
Abstract: Understanding emojis in the context of online experiences is described. In at least some embodiments, text input is received and a vector representation of the text input is computed. Based on the vector representation, one or more emojis that correspond to the vector representation of the text input are ascertained and a response is formulated that includes at least one of the one or more emojis. In other embodiments, input from a client machine is received. The input includes at least one emoji. A computed vector representation of the emoji is used to look for vector representations of words or phrases that are close to the computed vector representation of the emoji. At least one of the words or phrases is selected and at least one task is performed using the selected word(s) or phrase(s).
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