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公开(公告)号:US20180107917A1
公开(公告)日:2018-04-19
申请号:US15297902
申请日:2016-10-19
Applicant: eBay Inc.
Inventor: Sanjika Hewavitharana , Ajinkya Gorakhnath Kale
CPC classification number: G06F16/2468 , G06F16/23 , G06F16/9024 , G06N5/022 , G06N20/00 , G06Q30/0631
Abstract: In various example embodiments, a system and method for applying a quantitative range for qualitative terms. In one example, a method includes gathering user interactions, identifying a qualitative term included in the user interactions, building an electronic knowledge graph that associates the qualitative term with a quantitative range for the product identified using the qualitative term according to values in the user interactions that include the qualitative term, receiving a query for the product that includes the qualitative term, and performing, in response to receiving the query, a search that limits results according to the quantitative range stored in the knowledge graph.
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公开(公告)号:US20170270101A1
公开(公告)日:2017-09-21
申请号:US15075392
申请日:2016-03-21
Applicant: eBay Inc.
Inventor: Selcuk Kopru , Sanjika Hewavitharana , Hassan Sawaf
CPC classification number: G06F16/2455 , G06N7/005 , H04L67/22 , H04L67/42
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:US11836776B2
公开(公告)日:2023-12-05
申请号:US18055574
申请日:2022-11-15
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 , G06Q30/0601 , G06F40/58 , G06N20/00 , G06F16/50
CPC classification number: G06Q30/0623 , G06F16/50 , G06F40/58 , G06N20/00 , G06Q30/0601
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:US20230206314A1
公开(公告)日:2023-06-29
申请号:US17562423
申请日:2021-12-27
Applicant: eBay Inc.
Inventor: Ramesh Periyathambi , Tomer Lancewicki , Sanjika Hewavitharana , Ryan Reeves , Senthil Kumar Padmanabhan , Daniel Stein , Luther S. Boorn , Baohao Liao , Simon Alexander Becker , Sivan Elkis , Saral Bharathi Sukumar Jeyaseelan
IPC: G06Q30/06 , G06V10/40 , G06F40/295
CPC classification number: G06Q30/0643 , G06Q30/0613 , G06V10/40 , G06F40/295
Abstract: A system for assisting users in listing items for sale in an electronic marketplace is disclosed. A video is received from a user device associated with a user, the video including a video stream depicting a plurality of items to be listed for sale in the electronic marketplace. Respective images depicting respective items among the plurality of items are obtained from the video stream, and respective attributes of the respective items among the plurality of items are extracted from the video. Respective listings for sale of the respective items are generated based at least in part on the respective attributes of the respective items among the plurality of items, and the respective listings for sale of the respective items are displayed to the user.
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公开(公告)号:US11640436B2
公开(公告)日:2023-05-02
申请号:US15681663
申请日:2017-08-21
Applicant: eBay Inc.
Inventor: Ajinkya Gorakhnath Kale , Thrivikrama Taula , Amit Srivastava , Sanjika Hewavitharana
IPC: G06F16/9535 , G06N5/02 , G06F16/2455 , G06F16/33 , G06N3/08 , G06N5/01
Abstract: A query segmentation system segments a search query into a query segment that identifies search results from items stored on a database. The query segmentation system receives a query string, and the query string comprises a plurality of tokens. A first token and a second token are identified from the plurality of tokens, and a first vector and a second vector associated with the first token and the second token respectively are determined. The query segmentation system determines whether to include the first and second tokens in a single query segment based on the first and second vectors. The single query segment is processed to identify the search results from the database.
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公开(公告)号:US11561975B2
公开(公告)日:2023-01-24
申请号:US16725910
申请日:2019-12-23
Applicant: EBAY INC.
Inventor: Selcuk Kopru , Sanjika Hewavitharana , Hassan Sawaf
IPC: G06F16/2455 , G06N7/00 , H04L67/01 , H04L67/50
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:US20220020375A1
公开(公告)日:2022-01-20
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
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:US20210064824A1
公开(公告)日:2021-03-04
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:US20240153246A1
公开(公告)日:2024-05-09
申请号:US17983327
申请日:2022-11-08
Applicant: eBay Inc.
Inventor: Baohao Liao , Sanjika Hewavitharana , Michael Damian Kozielski , Friedrich Leonard Dahlmann , Shahram Khadivi
IPC: G06V10/774 , G06F40/284 , G06Q30/06 , G06V10/74 , G06V10/764
CPC classification number: G06V10/774 , G06F40/284 , G06Q30/0643 , G06V10/761 , G06V10/764
Abstract: A system may receive, via a first user interface associated with an online marketplace, a multi-modality request to retrieve a listing for an item, the multi-modality request comprising at least a first image and a first natural language text associated with the item. The system may generate an item embedding based on inputting the first image and the first natural language text to a machine learning model and may generate a first vector associated with the first image and the first natural language text included in the multi-modality request. The system may cause presentation, via the first user interface associated with the online marketplace, of one or more listings for the item retrieved based at least in part on a similarity metric between the first vector and a second vector of a plurality of vectors associated with a plurality of listings.
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公开(公告)号:US20240078388A1
公开(公告)日:2024-03-07
申请号:US18388239
申请日:2023-11-09
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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