Systems and methods for computing database interactions and evaluating interaction parameters

    公开(公告)号:US12124599B2

    公开(公告)日:2024-10-22

    申请号:US18471781

    申请日:2023-09-21

    CPC classification number: G06F21/6218 G06F11/327 G06F18/22 G06N20/00

    Abstract: A method includes storing a test database of tests and corresponding test rules, storing a user information database, storing a profile database, and storing a threshold database including thresholds corresponding to test scores and similarity scores. The method includes, in response to receiving interaction parameters of an interaction performed by a user, identifying a set of tests based on the interaction parameters. The method includes, for each of the set of tests: calculating a score using user data of the user, corresponding test rules, and the interaction parameters; adjusting the score based on the user's profile; obtaining a threshold corresponding to the identified test; and, in response to the score exceeding the threshold, categorizing the interaction within a first category. The method also includes generating and transmitting an alert in response to the interaction being categorized within the first category.

    COMPUTATIONALLY-EFFICIENT RECOMMENDATION GENERATION SYSTEM

    公开(公告)号:US20240311916A1

    公开(公告)日:2024-09-19

    申请号:US18551024

    申请日:2020-09-28

    CPC classification number: G06Q40/06 G06Q40/04

    Abstract: A system includes a processor and a memory. The memory stores a parameter database including parameters for entities and instructions for execution by the processor. The instructions include, in response to receiving a request control signal including a scaling factor from a user device, obtaining a set of actions and a corresponding equivalence value for each action from the parameter database. The instructions include filtering the set of actions based on the corresponding equivalence value of the set of actions. The instructions include, for each action of the filtered set of actions, obtaining a set of parameters from the parameter database, computing a recommendation factor based on the set of parameters, and adding the corresponding action to a recommendation list in response to the recommendation factor being less than a threshold. The instructions include transforming an interface of the user device by rendering a graphical depiction of the recommendation list.

    STRING PROCESSING OF CLICKSTREAM DATA
    5.
    发明公开

    公开(公告)号:US20240146820A1

    公开(公告)日:2024-05-02

    申请号:US18409051

    申请日:2024-01-10

    CPC classification number: H04L67/535 G06F16/957 H04L67/02 H04L67/146

    Abstract: A method includes assigning unique symbols to pages of a website, respectively. The method includes obtaining page symbol sequences of browsing sessions, respectively. Each browsing session corresponds to a visitor of the website. For each browsing session, the page symbol sequence of the browsing session is a sequence of symbols that corresponds, respectively, to a sequence of pages of the website visited during the browsing session by the corresponding visitor. The method includes generating a master string including the page symbol sequences, generating a suffix array corresponding to the master string, and generating a longest common prefix (LCP) array corresponding to the suffix array. The method includes, based on the suffix array and LCP array, determining one or more most common n-step subsequences of pages (n is an integer greater than 1).

    Event-driven computer modeling system for time series data

    公开(公告)号:US11907189B2

    公开(公告)日:2024-02-20

    申请号:US16987356

    申请日:2020-08-06

    Inventor: John Scott Kula

    CPC classification number: G06F16/219 G06F16/2322 G06F16/2358 G06Q40/06

    Abstract: A system stores instructions including, in response to receiving user input, identifying a first event type and a first security identifier and obtaining a first set of event dates from the event database and, for each event date of the first set of event dates, obtaining a corresponding event value on the corresponding event date of the first security identifier. The instructions include, for a first day related to each event date of the first set of event dates: obtaining a corresponding value on the first day of the first security identifier, determining a corresponding difference value between the corresponding event value and the corresponding value, and storing the corresponding difference value in a set of difference values. The instructions include calculating an average difference on the first day using the set of difference values and displaying the average difference and an event indicator corresponding to the first event type.

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