US 2022/0066932 A1Published application

Method and system for predictively caching data

AssigneeJPMorgan Chase Bank, N.A.

InventorsRamin KOCH, Eric-Andre VIGROUX, Liang ZHOU, Mathieu CLICHE, Yihui TANG, Howard SPECTOR, Rebecca SETTING, Neil V O'DONNELL, Su AMARATUNGA, Andy HOUSTON, Timothy LORENZ

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Abstract

A method for facilitating predictive caching of data is provided. The method includes retrieving raw data relating to user activity for a plurality of users, the user activity including a history of web resources accessed by a user; converting the raw data into a structured data set based on a predetermined criterion; generating a model based on the structured data set; training the model by using a training data set, the training data set including the user activity for a predetermined period of time; determining, by using the trained model, a predicted first web resource for the user; and automatically caching, in a memory, the predicted first web resource.

Claims20

Dependent claims

A method for facilitating predictive caching of data, the method being implemented by at least one processor, the method comprising:

retrieving, by the at least one processor, raw data relating to user activity for a plurality of users, the user activity including a history of web resources accessed by a user;
converting, by the at least one processor, the raw data into a structured data set based on at least one predetermined criterion;
generating, by the at least one processor, at least one model based on the structured data set;
training, by the at least one processor, the at least one model by using a training data set, the training data set including the user activity for a predetermined period of time;
determining, by the at least one processor using the trained at least one model, at least one predicted first web resource for the user;
and
automatically caching, by the at least one processor in a memory, the at least one predicted first web resource.

4 more elements

A computing device configured to implement an execution of a method for facilitating predictive caching of data, the computing device comprising:

a processor;
a memory;
and
a communication interface coupled to each of the processor and the memory,
wherein the processor is configured to:
retrieve raw data relating to user activity for a plurality of users, the user activity including a history of web resources accessed by a user;
convert the raw data into a structured data set based on at least one predetermined criterion;
generate at least one model based on the structured data set;
train the at least one model by using a training data set, the training data set including the user activity for a predetermined period of time;
determine, by using the trained at least one model, at least one predicted first web resource for the user;
and
automatically cache, in a memory, the at least one predicted first web resource.

9 more elements

Dependencies are inferred from the claim text.

Facts

Application: 17/446,051Filed 26 Aug 2021
Priority: 28 Aug 2020
Published: 3 Mar 2022
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G06F 12/0802
In hierarchically structured memory systems, e.g. virtual memory systems: addressing of a memory level in which the access to the desired data or…
G06F 12/0862
Addressing of a memory level in which the access to the desired data or data block requires associative addressing means, e.g. caches: with prefetch
G06N 3/088
Learning methods: non-supervised learning, e.g. competitive learning
G06N 20/00
Machine learning