Back to results
US 11,455,274 B2Granted
Method and system for analyzing data in a database
AssigneeInMobi PTE Ltd.
InventorsSharad Agarwal, Jaideep Dhok
Life of this patent
Estimating the term…
Abstract
A method and system analyze data in a database. The method and system include defining a plurality of set of rules, wherein each set of rules corresponds to a predictive model, storing the each set of rules corresponding to the predictive model in a library as a user-defined function and calling the user-defined function via a standard sequel language.
Claims8
A method for analyzing data in a database, the method comprising:
- executing code by a processor to perform operations comprising:
- storing a plurality of sets of rules corresponding to a predictive model in a library, wherein each set of the rules corresponds to the predictive model for predicting click-through rates for an advertisement, wherein:
- each set of the rules is stored as a user-defined function in the library;
- each set of the rules is defined to correspond to the predictive model;
- and
- the predictive model is built using a training data set;
- and
- the training data set includes multiple features used as input parameters to train the predictive model for classification of values of a user clicking on the advertisement;
- calling the user-defined function in a database query, wherein the user defined function is called to analyze the data in the database;
- invoking the user-defined function to operate on one or more rows in the database directly from a function-calling module to analyze the data in the database in accordance with the predictive model;
- processing the data responsive to the database query with the user-defined function to generate an output responsive to the user-defined function that indicates a probability of the user clicking on the advertisement;
- and
- providing the output.
10 more elements
A non transitory, computer readable medium system comprising:
- a processor;
- and
- code that is executable by the processor for analyzing data in a database, wherein when the code is executed by the processor the processor performs operations comprising:
- storing a plurality of sets of rules corresponding to a predictive model in a library, wherein each set of the rules corresponds to the predictive model for predicting click-through rates for an advertisement, wherein:
- each set of the rules is stored as a user-defined function in the library;
- each set of the rules is defined to correspond to the predictive model;
- and
- the predictive model is built using a training data set;
- and
- the training data set includes multiple features used as input parameters to train the predictive model for classification of values of a user clicking on the advertisement;
- calling the user-defined function in a database query, wherein the user defined function is called to analyze data in the database;
- invoking the user-defined function to operate on one or more rows in the database directly from a function-calling module to analyze the data in the database in accordance with the predictive model;
- processing the data responsive to the database query with the user-defined function to generate an output responsive to the user-defined function that indicates a probability of the user clicking on the advertisement;
- and
- providing the output.
12 more elements
Dependencies are inferred from the claim text.