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公开(公告)号：US20190272274A1
公开(公告)日：2019-09-05
申请号：US16290567
申请日：2019-03-01
申请人： eBay Inc.
IPC分类号： G06F16/2457 , G06F16/28 , G06F16/9535
摘要： 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：US20180108066A1
公开(公告)日：2018-04-19
申请号：US15294765
申请日：2016-10-16
申请人： eBay Inc.
CPC分类号： G06Q30/0625 , G06F16/24522 , G06F16/24578 , G06F16/532 , G06F16/583 , G06N3/02 , G06N3/0445 , G06N5/022 , G06N7/005
摘要： Systems, methods, and computer program products for identifying a relevant candidate product in an electronic marketplace. Embodiments perform a visual similarity comparison between candidate product image visual content and input query image visual content, process formal and informal natural language user inputs, and coordinate aggregated past user interactions with the marketplace stored in a knowledge graph. Visually similar items and their corresponding product categories, aspects, and aspect values can determine suggested candidate products without discernible delay during a multi-turn user dialog. The user can then refine the search for the most relevant items available for purchase by providing responses to machine-generated prompts that are based on the initial search results from visual, voice, and/or text inputs. An intelligent online personal assistant can thus guide a user to the most relevant candidate product more efficiently than existing search tools.
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公开(公告)号：US20180068031A1
公开(公告)日：2018-03-08
申请号：US15677817
申请日：2017-08-15
申请人： eBay Inc.
CPC分类号： G06F16/90328 , G06F9/30156 , G06F11/3438 , G06F16/3329 , G06F16/9535 , G06F17/21 , G06F17/278 , G06F17/2785 , G06F17/289 , G06N3/006 , G06N3/08 , G06N5/022 , G06N7/005 , G06N20/00 , G10L15/1822 , G10L15/22
摘要： In various example embodiments, a system and method for balancing implicit and explicit indicators is presented. In one example, a method includes a user's utterance that includes a user query, extracting user intent parameters from the user query, constructing a structured query in a machine readable format using user intent parameters, determining whether the user query includes an implicit indicator, determining a confidence rating for the implicit indicator, updating the structured query to include the implicit indicator in response to the confidence rating for the implicit indicator being above a threshold value, and submitting the structured query to a database of items.
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公开(公告)号：US20180052884A1
公开(公告)日：2018-02-22
申请号：US15238679
申请日：2016-08-16
申请人： eBay Inc.
CPC分类号： G06F16/242 , G06F16/24578 , G06F16/9024 , G06F17/27 , G06N5/022 , G06N5/04 , G06Q30/0631
摘要： Processing natural language user inputs into a more formal, machine-readable, structured query representation used for making an item recommendation. Analyses of user inputs are coordinated via a knowledge graph constructed from categories, attributes, and attribute values describing relatively frequently occurring prior interactions of various users with an electronic marketplace. The knowledge graph has directed edges each with a score value based on: the conditional probabilities of category/attribute/attribute value interactions calculated from user behavioral patterns, associations between user queries and structured data based on historical buyer behavioral patterns in the marketplace, metadata from items made available for purchase by sellers used to better define buyers' requirements, and/or world knowledge of weather, locations/places, occasions, and item recipients that map to inventory-related data, for generating relevant prompts for further user input. The knowledge graph may be dynamically updated during a multi-turn interactive dialog.
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公开(公告)号：US20180052842A1
公开(公告)日：2018-02-22
申请号：US15238675
申请日：2016-08-16
申请人： eBay Inc.
CPC分类号： G06F16/24522 , G06F16/243 , G06F16/951 , G06F17/2705 , G06F17/273 , G06F17/278 , G06F17/2785 , G06F17/2836 , G06F17/289 , G10L15/26
摘要： Systems and methods for transforming formal and informal natural language user inputs into a more formal, machine-readable, structured representation of a search query. In one scenario, a processed sequence of user inputs and machine-generated prompts for further data from a user in a multi-turn interactive dialog improves the efficiency and accuracy of automated searches for the most relevant items available for purchase in an electronic marketplace. Analysis of user inputs may discern user intent, user input type, a dominant object of user interest, item categories, item attributes, attribute values, and item recipients. Other inputs considered may include dialog context, item inventory-related information, and external knowledge to improve inference of user intent from user input. Different types of analyses of the inputs each yield results that are interpreted in aggregate and coordinated via a knowledge graph based on past users' interactions with the electronic marketplace and/or inventory-related data.
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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
申请人： eBay Inc.
发明人： Stefan Schoenmackers , Amit Srivastava , Lawrence William Colagiovanni , Sanjika Hewavitharana , Ajinkya Gorakhnath Kale , Vinh Khuc
CPC分类号： G10L15/22 , G06F16/3329 , G06F40/35 , G10L15/07 , G10L15/1815 , G10L15/26 , G10L2015/228
摘要： 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：US11829375B2
公开(公告)日：2023-11-28
申请号：US17318653
申请日：2021-05-12
申请人： eBay Inc.
IPC分类号： G06F16/30 , G06F16/2457 , G06F16/9535 , G06F16/28
CPC分类号： G06F16/24578 , G06F16/285 , G06F16/9535
摘要： 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：US20230290171A1
公开(公告)日：2023-09-14
申请号：US18200460
申请日：2023-05-22
申请人： eBay Inc.
CPC分类号： G06V30/43 , G06F16/5838 , G06F16/164 , G06F16/583 , G06V10/82 , G06V10/95 , G06N3/045 , H04L67/02
摘要： Example embodiments that analyze images to characterize aspects of the images rely on a same neural network to characterize multiple aspects in parallel. Because additional neural networks are not required for additional aspects, such an approach scales with increased aspects.
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公开(公告)号：US20220122122A1
公开(公告)日：2022-04-21
申请号：US17564000
申请日：2021-12-28
申请人： eBay Inc.
摘要： In various example embodiments, a system and method for determining a spam publication using a spam detection system are presented. The spam detection system receives, from a device, an image of an item and an item attribute for the item. Additionally, the spam detection system extracts an image attribute based on the received image, and compares the item attribute and the image attribute. Moreover, the spam detection system calculates a confidence score based on the comparison. Furthermore, the spam detection system determines that the item attribute is incorrect based on the confidence score transgressing a predetermined threshold. In response to the determination that the item attribute is incorrect, the spam detection system causes presentation, on a display of the device, of a notification.
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公开(公告)号：US11036746B2
公开(公告)日：2021-06-15
申请号：US16290567
申请日：2019-03-01
申请人： eBay Inc.
IPC分类号： G06F16/00 , G06F16/2457 , G06F16/9535 , G06F16/28
摘要： 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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