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公开(公告)号：US11062369B2
公开(公告)日：2021-07-13
申请号：US15986448
申请日：2018-05-22
Applicant: eBay Inc.
Inventor： Brian Scott Johnson , Brian M. Johnson , Badrul M. Sarwar , Benny Soetarman , Rajyashree Mukherjee , Venkat Sundaranatha , Neelakantan Sundaresan , Randall Scott Shoup , Daniel Kramer , Jason M. Heidema , Musaab At-Taras , Alvaro Bolivar , Jean-David Ruvini
IPC: G06Q30/06 , G06F16/9535 , G06F16/2457 , G06Q30/02
Abstract: A computer-implemented system and method for providing information tagging in a networked system is disclosed. The apparatus in an example embodiment includes a tag engine configured to process a database of categorized product listings; to receive a user-provided tag associated with at least one of the product listings; to retain the user-provided tag; and to serve the user-provided tag to a user viewing at least one of the product listings.
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公开(公告)号：US20200320545A1
公开(公告)日：2020-10-08
申请号：US16856919
申请日：2020-04-23
Applicant: eBay Inc.
IPC: G06Q30/02
Abstract: An apparatus and method for predicting a brand name of a product are disclosed herein. A product identification number for the product is converted into a normalized global trade item number (GTIN). For each of a plurality of GTIN prefixes corresponding to the normalized GTIN, brand names and counts of each of the brand names using product information stored in a product catalog are identified. A probability distribution of the brand names is determined in accordance with the brand names and the counts of the brand names for the plurality of the GTIN prefixes. A predicted brand name for the product is identified from among the brand names for the plurality of the GTIN prefixes, the predicted brand name having a highest probability score in the probability distribution of the brand names.
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公开(公告)号：US20200065873A1
公开(公告)日：2020-02-27
申请号：US16109658
申请日：2018-08-22
Applicant: eBay Inc.
Inventor： Jean-David Ruvini
Abstract: Systems and methods for improving an information provisioning system using a natural language conversational assistant is provided. A machine agent initiates an interactive natural language conversation with a user to provide the user with guidance on one or more products. The machine agent receives a request for information from the user, and accesses, from a product knowledge database, textual statements about features of the one or more products, whereby the textual statements are obtained by a machine-based offline knowledge extraction process that extracts the textual statements from reviews or product guides. Based on the accessed textual statements and an overall empirical utility of each of the accessed textual statements, the machine agent determines one or more statements of the accessed textual statements to convey to the user. The machine agent causes presentation of the one or more statements to the user.
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公开(公告)号：US20190340625A1
公开(公告)日：2019-11-07
申请号：US16514319
申请日：2019-07-17
Applicant: eBay Inc.
Inventor： Neelakantan Sundaresan , Vasilios Mitrokostas , Lauren Olver , Chi-Hsien Chiu , Jean-David Ruvini , Badrul M. Sarwar , Hill Trung Nguyen
Abstract: There is provided a method and system for qualification testing in a social network service. Qualification testing provides access control into a social network, wherein qualification is based on answers to questions related to a topic. In one example, members admitted to the network provide guidance, notes and research assistance to another member. The social network members access the social network from an external networked computing service, such as another social network, to facilitate easy connection to potential members. The social network may be implemented as an application overlay to the external service, or may access connections in the external network.
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Patent Agency Ranking
公开(公告)号：US10331691B2
公开(公告)日：2019-06-25
申请号：US15833811
申请日：2017-12-06
Applicant: eBay Inc.
Inventor： Prakash S. Arunachalam , Jean-David Ruvini , Hugh Evan Williams
IPC: G06F16/248 , G06F16/28 , G06Q10/08 , G06Q30/06
Abstract: A system and method of metadata refinement using behavioral patterns is disclosed. In some embodiments, user behavioral data for results of a search query is received. The results can include an untagged item and a plurality of tagged items. A determination can then be made that the tagged items have been assigned a plurality of types of metadata. The untagged item can then be identified as a candidate to be tagged with at least one of the plurality of types of metadata assigned to the tagged items. In some embodiments, the user behavioral data comprises clickstream data indicating that a user selected the untagged item and at least one of the tagged items during a single search event.
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公开(公告)号：US20190065460A1
公开(公告)日：2019-02-28
申请号：US15692392
申请日：2017-08-31
Applicant: eBay Inc.
Inventor： Yingwei Xin , Jean-David Ruvini , Ethan J. Hart
Abstract: In an example, a text sentence comprising a plurality of words is obtained. Each of the plurality of words is passed through a deep compositional character-to-word model to encode character-level information of each of the plurality of words into a character-to-word expression. The character-to-word expressions are combined with pre-trained word embeddings. The combined character-to-word expressions and pre-trained word embeddings are fed into one or more bidirectional long short-term memories to learn contextual information for each of the plurality of words. Then, sequential conditional random fields are applied to the contextual information for each of the plurality of words.
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公开(公告)号：US20180096037A1
公开(公告)日：2018-04-05
申请号：US15833811
申请日：2017-12-06
Applicant: eBay Inc.
Inventor： Prakash S. Arunachalam , Jean-David Ruvini , Hugh Evan Williams
CPC classification number: G06F16/248 , G06F16/285 , G06Q10/087 , G06Q30/0623
Abstract: A system and method of metadata refinement using behavioral patterns is disclosed. In some embodiments, user behavioral data for results of a search query is received. The results can include an untagged item and a plurality of tagged items. A determination can then be made that the tagged items have been assigned a plurality of types of metadata. The untagged item can then be identified as a candidate to be tagged with at least one of the plurality of types of metadata assigned to the tagged items. In some embodiments, the user behavioral data comprises clickstream data indicating that a user selected the untagged item and at least one of the tagged items during a single search event.
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公开(公告)号：US09881067B2
公开(公告)日：2018-01-30
申请号：US15409612
申请日：2017-01-19
Applicant: eBay Inc.
Inventor： Prakash S. Arunachalam , Jean-David Ruvini , Hugh Evan Williams
CPC classification number: G06F17/30554 , G06F17/30598 , G06Q10/087 , G06Q30/0623
Abstract: A system and method of metadata refinement using behavioral patterns is disclosed. In some embodiments, user behavioral data for results of a search query is received. The results can include an untagged item and a plurality of tagged items. A determination can then be made that the tagged items have been assigned a first type of metadata not assigned to the untagged item. The untagged item can then be identified as a candidate to be tagged with the first type of metadata assigned to the tagged items based on the user behavioral data. In some embodiments, the user behavioral data comprises clickstream data indicating that a user selected the untagged item and the tagged items during a single search event.
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公开(公告)号：US20170132297A1
公开(公告)日：2017-05-11
申请号：US15409612
申请日：2017-01-19
Applicant: eBay Inc.
Inventor： Prakash S. Arunachalam , Jean-David Ruvini , Hugh Evan Williams
CPC classification number: G06F17/30554 , G06F17/30598 , G06Q10/087 , G06Q30/0623
Abstract: A system and method of metadata refinement using behavioral patterns is disclosed. In some embodiments, user behavioral data for results of a search query is received. The results can include an untagged item and a plurality of tagged items. A determination can then be made that the tagged items have been assigned a first type of metadata not assigned to the untagged item. The untagged item can then be identified as a candidate to be tagged with the first type of metadata assigned to the tagged items based on the user behavioral data. In some embodiments, the user behavioral data comprises clickstream data indicating that a user selected the untagged item and the tagged items during a single search event.
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