Incremental data clustering model for basket analysis by prediction services

    公开(公告)号:US12099497B2

    公开(公告)日:2024-09-24

    申请号:US17658850

    申请日:2022-04-12

    CPC classification number: G06F16/2379 G06F16/2246 G06F16/2255

    Abstract: A data model is derived from transaction data. The model is represented in a combination data structure for a tree and a hash table. The hash table provides direct access to leaves of the tree, each leaf comprises a frequency count for a particular unique basket of items detected in the transaction data. Mining the combination data structure does not require recursive traversal of the tree. Moreover, derivation is performed with just two passes on the transaction data, during each pass multiple concurrent reducer tasks handle a unique portion of the transaction data providing parallel processing during creation and derivation which improves the processor elapsed time to complete the combination data structure. Furthermore, updates to the data structure are incremental without requiring any additional passes on the original transaction data and without requiring full traversal of the tree. Output from the mining is provided as input to predictor services.

    Consent-driven privacy disclosure control processing

    公开(公告)号:US12045371B2

    公开(公告)日:2024-07-23

    申请号:US18125463

    申请日:2023-03-23

    CPC classification number: G06F21/6245 H04L9/3247 G06F2221/2141

    Abstract: A user provides retailer-specific consents for access and use to private/sensitive information of the user. The private/sensitive information is centrally stored in a privacy vault. Retail services (retailer) that the user subscribes to are provided a user-specific and consent-specific token representing the user and consents to usage of specific private/sensitive information of the user. When the retailer has a need for user-specific private/sensitive information, the retailer presents the user-specific and consent-specific token to the privacy vault. Assuming, the retailer was given access to the requested private/sensitive information defined in the token, the privacy results returns the requested information to the retailer; otherwise, an unauthorized message is returned from the privacy vault to the retailer. The user defines the consents to each retailer and a record of the consents is maintained in the privacy vault.

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