公开(公告)号：US12022239B2

公开(公告)日：2024-06-25

申请号：US18302714

申请日：2023-04-18

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Fan Yang ,  Mohammadhadi Kiapour ,  Qiaosong Wang ,  Japjit S. Tulsi ,  Robinson Piramuthu

IPC: H04N7/18 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0601 ,  G06Q30/08 ,  G06T7/60 ,  G06T11/60 ,  G06V10/10 ,  G06V20/20 ,  G06V30/194 ,  H04N23/63 ,  G06F3/04842 ,  G06F18/2431 ,  H04N23/61

CPC classification number: H04N7/185 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0623 ,  G06Q30/08 ,  G06T7/60 ,  G06T11/60 ,  G06V10/10 ,  G06V20/20 ,  G06V30/194 ,  H04N23/63 ,  G06F3/04842 ,  G06F18/2431 ,  G06Q30/0631 ,  G06Q30/0643 ,  G06T2210/16 ,  H04N23/61 ,  H04N23/631

Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.

公开(公告)号：US11995106B2

公开(公告)日：2024-05-28

申请号：US17836796

申请日：2022-06-09

Applicant: eBay Inc.

Inventor： Luke Richard-Ivar Heine ,  Mohammadhadi Kiapour

IPC: G06F16/28 ,  G06F16/242 ,  G06F16/903 ,  G06F16/9032 ,  G06N3/045 ,  G06N20/00

CPC classification number: G06F16/285 ,  G06F16/2423 ,  G06F16/903 ,  G06F16/9032 ,  G06N3/045 ,  G06N20/00

Abstract: Aspects of the present disclosure relate to a network-based crowd assisted query system that includes a client device in communication with an application server executing the crowd assisted query system over a network. For example, the crowd assisted query system may be or include a group of one or more server machines. Users of the crowd assisted query system are presented with a graphical user interface (GUI) configured to receive queries that include data objects, wherein the data objects include representations of unidentified items of interest to the user. The data objects may include media content, such as graphical images as well as audio data, and in some example embodiments may further include text data describing the unidentified items.

公开(公告)号：US11914636B2

公开(公告)日：2024-02-27

申请号：US17949953

申请日：2022-09-21

Applicant: eBay Inc.

Inventor： Fan Yang ,  Ajinkya Gorakhnath Kale ,  Qiaosong Wang ,  Mohammadhadi Kiapour ,  Robinson Piramuthu

IPC: G06F18/2415 ,  G06F16/50 ,  G06F16/532 ,  G06F16/583 ,  G06N3/084 ,  G06V10/46 ,  G06N5/022 ,  G06F18/2113 ,  G06F18/2411 ,  G06N3/044 ,  G06N3/045 ,  G06N7/01 ,  G06V10/771

CPC classification number: G06F16/532 ,  G06F16/50 ,  G06F16/583 ,  G06F18/2113 ,  G06F18/2411 ,  G06F18/2415 ,  G06N3/044 ,  G06N3/045 ,  G06N3/084 ,  G06N5/022 ,  G06V10/462 ,  G06V10/771 ,  G06N7/01

Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.

公开(公告)号：US20240037626A1

公开(公告)日：2024-02-01

申请号：US18481736

申请日：2023-10-05

Applicant: eBay Inc.

Inventor： Ajinkya Gorakhnath Kale ,  Fan Yang ,  Qiaosong Wang ,  Mohammadhadi Kiapour ,  Robinson Piramuthu

IPC: G06Q30/0601 ,  G06F16/583 ,  G06F16/2452 ,  G06F16/2457 ,  G06F16/532 ,  G06N5/022 ,  G06N3/044 ,  G06N7/01 ,  G06N3/02

CPC classification number: G06Q30/0625 ,  G06F16/583 ,  G06F16/24522 ,  G06F16/24578 ,  G06F16/532 ,  G06N5/022 ,  G06N3/044 ,  G06N7/01 ,  G06N3/02

Abstract: 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.

公开(公告)号：US11804035B2

公开(公告)日：2023-10-31

申请号：US17512389

申请日：2021-10-27

Applicant: eBay Inc.

Inventor： Ajinkya Gorakhnath Kale ,  Fan Yang ,  Qiaosong Wang ,  Mohammadhadi Kiapour ,  Robinson Piramuthu

IPC: G06F16/583 ,  G06F16/51 ,  G06F16/248 ,  G06F16/2457 ,  G06F16/33 ,  G06V10/82 ,  G06V10/75 ,  G06F18/2411 ,  G06Q30/0601 ,  G06N3/044 ,  G06N7/01

CPC classification number: G06V10/82 ,  G06F16/248 ,  G06F16/24578 ,  G06F16/3344 ,  G06F16/51 ,  G06F16/5838 ,  G06F18/2411 ,  G06Q30/0643 ,  G06V10/758 ,  G06N3/044 ,  G06N7/01

Abstract: Systems, methods, and computer program products for identifying a candidate product in an electronic marketplace based on a visual comparison between candidate product image visual content and input query image visual content. Embodiments generate and store descriptive image signatures from candidate product images or selected portions of such images. A subsequently calculated visual similarity measure serves as a visual search result score for the candidate product in comparison to an input query image. Any number of images of any number of candidate products may be analyzed, such as for items available for sale in an online marketplace. Image analysis results are stored in a database and made available for subsequent automated on-demand visual comparisons to an input query image. The embodiments enable substantially real time visual based product searching of a potentially vast catalog of items.

公开(公告)号：US20230018383A1

公开(公告)日：2023-01-19

申请号：US17949953

申请日：2022-09-21

Applicant: eBay Inc.

Inventor： Fan Yang ,  Ajinkya Gorakhnath Kale ,  Qiaosong Wang ,  Mohammadhadi Kiapour ,  Robinson Piramuthu

IPC: G06K9/62 ,  G06N3/08 ,  G06N3/04 ,  G06N5/02 ,  G06V10/46 ,  G06F16/50 ,  G06F16/583 ,  G06F16/532 ,  G06N7/00

Abstract: Methods, systems, and computer programs are presented for adding new features to a network service. A method includes receiving an image depicting an object of interest. A category set is determined for the object of interest and an image signature is generated for the image. Using the category set and the image signature, the method identifies a set of publications within a publication database and assigns a rank to each publication. The method causes presentation of the ranked list of publications at a computing device from which the image was received.

公开(公告)号：US11551023B2

公开(公告)日：2023-01-10

申请号：US17019111

申请日：2020-09-11

Applicant: eBay Inc.

Inventor： Ajinkya Gorakhnath Kale ,  Mohammadhadi Kiapour ,  Robinson Piramuthu ,  Fan Yang ,  Qiaosong Wang

IPC: G06K9/62 ,  G06F16/58 ,  G06N5/02 ,  G06V10/42 ,  G06V10/426 ,  G06V10/70 ,  G06V20/00 ,  G06V30/194 ,  G06N7/00 ,  G06Q30/06 ,  G06T11/20 ,  G06F3/0482

Abstract: In various example embodiments, a system and method for determining an item that has confirmed characteristics are described herein. An image that depicts an object is received from a client device. Structured data that corresponds to characteristics of one or more items are retrieved. A set of characteristics is determined, the set of characteristics being predicted to match with the object. An interface that includes a request for confirmation of the set of characteristics is generated. The interface is displayed on the client device. Confirmation that at least one characteristic from the set of characteristics matches with the object depicted in the image is received from the client device.

公开(公告)号：US11507984B2

公开(公告)日：2022-11-22

申请号：US17107454

申请日：2020-11-30

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Mohammadhadi Kiapour ,  Nandini Ramakrishnan ,  Christophe Boudet ,  Fred Aye Zaw, Jr.

IPC: G06Q30/00 ,  G06Q30/02 ,  G06N20/00 ,  G06F40/186 ,  G06F3/04842

Abstract: A machine is configured to generate in real time personalized online banner images for users based on data pertaining to user behavior in relation to an image of a product. For example, the machine receives a user selection indicating one or more data features associated with the user. The one or more data features include a data feature pertaining to user behavior in relation to an image of a product. The machine generates, using a machine learning algorithm, a data representation of the machine learning algorithm based on the one or more data features including the data feature pertaining to user behavior in relation to the image of the product. The data representation includes one or more data features pertaining to one or more characteristics of online banner images. The machine generates an online banner image for the user based on the data representation.

公开(公告)号：US11200611B2

公开(公告)日：2021-12-14

申请号：US16235290

申请日：2018-12-28

Applicant: eBay Inc.

Inventor： Robinson Piramuthu ,  Timothy Samuel Keefer ,  Ashmeet Singh Rekhi ,  Padmapriya Gudipati ,  Mohammadhadi Kiapour ,  Shuai Zheng ,  Alberto Ordonez Pereira ,  Ravindra Surya Lanka ,  Md Atiq ul Islam ,  Nicholas Anthony Whyte ,  Giridharan Iyengar ,  Bryan Allen Plummer

IPC: G06F17/00 ,  G06F7/00 ,  G06Q30/06 ,  G06F16/538 ,  G06F16/9535 ,  G06F16/532 ,  G06K9/66 ,  G06F16/583 ,  G06N20/00 ,  G06F3/01 ,  G06K9/00 ,  G06K9/62 ,  G06F3/0482 ,  G06F3/0484 ,  G06F3/0488

Abstract: Computer vision for unsuccessful queries and iterative search is described. The described system leverages visual search techniques by determining visual characteristics of objects depicted in images and describing them, e.g., using feature vectors. In some aspects, these visual characteristics are determined for search queries that are identified as not being successful. Aggregated information describing visual characteristics of images of unsuccessful search queries is used to determine common visual characteristics and objects depicted in those images. This information can be used to inform other users about unmet needs of searching users. In some aspects, these visual characteristics are used in connection with iterative image searches where users select an initial query image and then the search results are iteratively refined. Unlike conventional techniques, the described system iteratively refines the returned search results using an embedding space learned from binary attribute labels describing images.

公开(公告)号：US20210312180A1

公开(公告)日：2021-10-07

申请号：US17348010

申请日：2021-06-15

Applicant: eBay Inc.

Inventor： Shuai Zheng ,  Fan Yang ,  Mohammadhadi Kiapour ,  Qiaosong Wang ,  Japjit S. Tulsi ,  Robinson Piramuthu

IPC: G06K9/00 ,  H04N5/232 ,  G06T11/60 ,  H04N7/18 ,  G06Q30/08 ,  G06Q30/06 ,  G06K9/66 ,  G06N20/00 ,  G06K9/62 ,  G06K9/78 ,  G06T7/60

Abstract: Camera platform techniques are described. In an implementation, a plurality of digital images and data describing times, at which, the plurality of digital images are captured is received by a computing device. Objects of clothing are recognized from the digital images by the computing device using object recognition as part of machine learning. A user schedule is also received by the computing device that describes user appointments and times, at which, the appointments are scheduled. A user profile is generated by the computing device by training a model using machine learning based on the recognized objects of clothing, times at which corresponding digital images are captured, and the user schedule. From the user profile, a recommendation is generated by processing a subsequent user schedule using the model as part of machine learning by the computing device.