Providing gesture functionality
    142.
    发明授权

    公开(公告)号:US11631121B2

    公开(公告)日:2023-04-18

    申请号:US17672945

    申请日:2022-02-16

    Applicant: eBay Inc.

    Abstract: Gesture functionality is provided in a computing environment. In example embodiments, a gesture input is received. A style difference is identified between a known gesture input of a set of known gesture inputs and the received gesture input. The set of known gesture inputs is caused to be modified to include the style difference by updating a database that stores the set of known gesture inputs.

    Generating a Tokenized Reputation Score

    公开(公告)号:US20230113795A1

    公开(公告)日:2023-04-13

    申请号:US17497006

    申请日:2021-10-08

    Applicant: eBay Inc.

    Abstract: Systems and methods for generating tokenized reputation scores are described. In one example, a service provider system receives data describing user activity associated with a service provider account and determines that the user activity is eligible for a reputation reward of reputation tokens. The service provider system initiates a calculation of the reputation reward based on the data describing the user activity. Further, the service provider system verifies a transfer of reputation tokens to a blockchain account address associated with the service provider account, where the reputation tokens are based on the reputation reward calculated. The service provider system generates a reputation score based on an amount of reputation tokens associated with the blockchain account address and generates an indication of the reputation score. The indication of the reputation score is displayed in relation to a representation of the service provider account.

    Systems and methods for on demand local commerce

    公开(公告)号:US11620666B2

    公开(公告)日:2023-04-04

    申请号:US17328577

    申请日:2021-05-24

    Applicant: eBay Inc.

    Abstract: Systems and methods for on demand local commerce are described. One example embodiment includes a device gathering location information and product interest associated with clients and client devices. The system may use location information in determining that the first plurality of client devices are within a first geographic area during a first time period, and may further use the interest information in calculating an interest level for a first product. A threshold may be identified and used in determining that the interest level for the first product exceeds the threshold. When the calculated interest level exceeds the threshold, a local commerce action is initiated. In various embodiments, the local commerce action may be a live on demand auction at a particular location, an offer associated with a geofenced area, a sales location recommendation to a merchant, or any other such local commerce action.

    Social network-based inventory management

    公开(公告)号:US11615452B2

    公开(公告)日:2023-03-28

    申请号:US17241235

    申请日:2021-04-27

    Applicant: eBay Inc.

    Abstract: An example embodiment includes a system server configured for social network-based inventory management. The system server includes processors and non-transitory computer-readable storage media communicatively coupled to the processors. The media store instructions that, in response to execution by the processors, cause the processors to perform operations. The operations include receiving category specifications and access category definitions for access categories. The access category definitions include relationship criteria for the access categories. The operations include identifying a relationship between a second user and a first user, comparing an identified relationship with the relationship criteria, and determining which of the access categories the second user is included based on the comparison.

    DETECTING CROSS-LINGUAL COMPARABLE LISTINGS

    公开(公告)号:US20230079147A1

    公开(公告)日:2023-03-16

    申请号:US18055574

    申请日:2022-11-15

    Applicant: eBay Inc.

    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.

    Suspicion classifier for website activity

    公开(公告)号:US11605115B2

    公开(公告)日:2023-03-14

    申请号:US16834662

    申请日:2020-03-30

    Applicant: eBay Inc.

    Abstract: A system and method of identifying suspicious item-related features are disclosed. In some embodiments, a new item listing is received. The item listing may correspond to a request to list an item for sale on an e-commerce website. Item-related data for the item listing may be extracted. The item-related data can be used by a model to classify the new item listing. The model may be trained on data comprising identifications of which item listings in the sample of item listings are suspicious and identifications of which item listings in the sample of item listings are not suspicious may be received.

    GENERATING PERSONALIZED BANNER IMAGES USING MACHINE LEARNING

    公开(公告)号:US20230076209A1

    公开(公告)日:2023-03-09

    申请号:US18055273

    申请日:2022-11-14

    Applicant: eBay Inc.

    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.

    Digital Twin NFT Listing
    150.
    发明申请

    公开(公告)号:US20230073859A1

    公开(公告)日:2023-03-09

    申请号:US17468963

    申请日:2021-09-08

    Applicant: eBay Inc.

    Abstract: Listing NFTs associated with physical items is described. Input specifying at least one obligation to be performed as a condition for transferring an NET from a first digital wallet to a second digital wallet is received. A listing for the NFT is then generated with information that describes the NET and the at least one obligation. A smart contract template is also generated, which includes instructions that are configured to ensure performance of the at least one obligation and transfer the NET from the first digital wallet to the second digital wallet. Responsive to purchase of the NFT via the listing, a smart contract is generated by updating the smart contract template with an identifier of the second digital wallet, and the NFT is transferred by executing the smart contract using a distributed state machine implemented on a blockchain.

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