Inmobi Technology Services has been granted a patent for a system that analyzes database data using predictive models. The system defines and stores sets of rules as user-defined functions, enabling efficient querying and analysis to determine the likelihood of advertisement clicks based on training data features. GlobalData’s report on Inmobi Technology Services gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Inmobi Technology Services, Address space memory mgmt was a key innovation area identified from patents. Inmobi Technology Services's grant share as of June 2024 was 82%. Grant share is based on the ratio of number of grants to total number of patents.
Data analysis system using predictive models for advertisements
The granted patent US12013812B2 outlines a system designed for analyzing data within a database, specifically focusing on predicting the likelihood of advertisement clicks. The system comprises one or more processors and a memory that contains executable code. This code facilitates the generation of database queries and the reception of responses based on those queries. Central to the system is a library that stores multiple sets of rules corresponding to a predictive model, with each set defined as a user-defined function. These functions are utilized to analyze data directly from the database, leveraging a training dataset that includes various features, such as advertisement types, to classify values and determine click probabilities.
Additionally, the patent details the operational aspects of the system, including the invocation of user-defined functions through standard or structured query languages. The functions are designed to operate on one or more rows in the database, allowing for efficient data processing in response to the generated queries. The non-transitory computer-readable medium associated with the system also encompasses the same functionalities, ensuring that the predictive model can be effectively applied to analyze data and provide insights into advertisement performance. This innovative approach aims to enhance the accuracy of predictions related to advertisement engagement by utilizing a structured methodology for data analysis.
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