US-12619655-B2 - System and method to generate suggestions based on dynamic notification data

US12619655B2US 12619655 B2US12619655 B2US 12619655B2US-12619655-B2

Abstract

An apparatus comprises a memory and a processor communicatively coupled to one another. The memory may be configured to store multiple existing configuration commands instructing execution of one or more operations. The processor may be configured to perform multiple existing operations in accordance with the existing configuration commands, collect dynamic notification data from one or more interfaces configured to perform the existing operations, generate multiple dynamic configuration commands based on the dynamic notification data, and compare the dynamic configuration commands to the existing configuration commands. Further, the processor is configured to determine whether the dynamic configuration commands comprise commands that are different from those comprised in the plurality of existing configuration commands, generate at least one suggestion to perform multiple suggested operations based on dynamic configuration commands, and present the at least one suggestion in a dynamic notification via the one or more interfaces.

Inventors

Jaynish Shashikant Patel

Assignees

DISH WIRELESS L.L.C.

Dates

Publication Date: 20260505
Application Date: 20230906

Claims (20)

1 . An apparatus, comprising: an interface configured to perform a plurality of operations in a user equipment; a memory communicatively coupled to the interface, comprising: a plurality of existing configuration commands instructing execution of the plurality of operations in the user equipment; and a processor communicatively coupled to the memory and configured to: perform, during a first period of time, the plurality of operations in the user equipment in accordance with the plurality of existing configuration commands; collect context data from the interface during the first period of time, wherein: the context data is representative of information surrounding the user equipment while the plurality of operations is performed by the interface during the first period of time; and the information surrounding the interface is collected by one or more additional interfaces of the user equipment; train, during a first stage, a machine learning algorithm using historical data associated with the user equipment to account for one or more situations and conditions changing the context data; actively generate, using the trained machine learning algorithm, a plurality of insights for the context data; generate, using the trained machine learning algorithm, a plurality of dynamic configuration commands based at least in part upon the plurality of insights for the context data, wherein: the plurality of dynamic configuration commands is generated to relieve stress conditions in future processing operations; and the plurality of dynamic configuration commands comprises possible updates to the plurality of existing configuration commands; determine, using the trained machine learning algorithm, whether the plurality of dynamic configuration commands comprise commands that are different from those comprised in the plurality of existing configuration commands; in response to determining that the plurality of dynamic configuration commands comprise commands that are different from those comprised in the plurality of existing configuration commands, generate, using the trained machine learning algorithm, a plurality of suggested operations using a specific service in the user equipment based at least in part upon the plurality of dynamic configuration commands; modify the plurality of existing configuration commands to comprise the plurality of dynamic configuration commands to perform the plurality of suggested operations during a second period of time; provide, via the interface, a dynamic notification to perform the plurality of suggested operations in the user equipment in accordance with a modified version of the plurality of existing configuration commands; perform, during the second period of time, the plurality of suggested operations in the user equipment in accordance with a modified version of the plurality of existing configuration commands; and train, during a second stage, the machine learning algorithm using the historical data and the modified version of the plurality of existing configuration commands.
2 . The apparatus of claim 1 , wherein: the interface is a display; and the dynamic notification is provided via the display.
3 . The apparatus of claim 2 , wherein in conjunction with collecting the context data during the first period of time, the processor is further configured to: analyze a plurality of images shown in the display; and extract text data, image data, and service metadata associated with one or more services of a service directory from the plurality of images.
4 . The apparatus of claim 3 , wherein in conjunction with generating the plurality of dynamic configuration commands, the processor is further configured to: determine action data based at least in part upon the text data, the image data, and the service metadata extracted from the plurality of images; in a case when the action data comprises retrieving an object, identify location data associated with one or more possible locations for the object; reference the location data with inventory stock data of the one or more possible locations for the object to determine whether the object is found at a first location and at a second location; in response to determining that the object is found at the first location, determine that the plurality of suggested operations comprises retrieving the object from the first location; and in accordance with historic data and a plurality of prioritization policies, generate at least one suggestion to perform the plurality of suggested operations comprising retrieving the object from the first location.
5 . The apparatus of claim 2 , wherein: the one or more additional interfaces of the user equipment further comprise a speaker.
6 . The apparatus of claim 5 , wherein the dynamic notification comprises an image in the display accompanied by a sound in the speaker, the sound being associated with the image.
7 . The apparatus of claim 1 , wherein the context data from the interface is collected over a predefined time duration.
8 . A method, comprising: performing, during a first period of time, a plurality of operations in a user equipment in accordance with a plurality of existing configuration commands, the user equipment comprising an interface configured to perform the plurality of operations in the user equipment; collecting context data from the interface during the first period of time, wherein: the context data is representative of information surrounding the user equipment while the plurality of operations is performed by the interface during the first period of time; and the information surrounding the interface is collected by one or more additional interfaces of the user equipment; training, during a first stage, a machine learning algorithm using historical data associated with the user equipment to account for one or more situations and conditions changing the context data; actively generating, using the trained machine learning algorithm, a plurality of insights for the context data; generating, using the trained machine learning algorithm, a plurality of dynamic configuration commands based at least in part upon the plurality of insights for the context data, wherein: the plurality of dynamic configuration commands is generated to relieve stress conditions in future processing operations; and the plurality of dynamic configuration commands comprises possible updates to the plurality of existing configuration commands; determining, using the trained machine learning algorithm, whether the plurality of dynamic configuration commands comprise commands that are different from those comprised in the plurality of existing configuration commands; in response to determining that the plurality of dynamic configuration commands comprise commands that are different from those comprised in the plurality of existing configuration commands, generating, using the trained machine learning algorithm, a plurality of suggested operations using a specific service in the user equipment based at least in part upon the plurality of dynamic configuration commands; modifying the plurality of existing configuration commands to comprise the plurality of dynamic configuration commands to perform the plurality of suggested operations during a second period of time; providing, via the interface, a dynamic notification to perform the plurality of suggested operations in the user equipment in accordance with a modified version of the plurality of existing configuration commands; performing, during the second period of time, the plurality of suggested operations in the user equipment in accordance with a modified version of the plurality of existing configuration commands; and training, during a second stage, the machine learning algorithm using the historical data and the modified version of the plurality of existing configuration commands.
9 . The method of claim 8 , wherein: the interface is a display; and the dynamic notification is provided via the display.
10 . The method of claim 9 , wherein in conjunction with collecting the context data during the first period of time, the method further comprises: analyzing a plurality of images shown in the display; and extracting text data, image data, and service metadata associated with one or more services of a service directory from the plurality of images.
11 . The method of claim 10 , wherein in conjunction with generating the plurality of dynamic configuration commands, the method further comprises: determining action data based at least in part upon the text data, the image data, and the service metadata extracted from the plurality of images; in a case when the action data comprises retrieving an object, identifying location data associated with one or more possible locations for the object; referencing the location data with inventory stock data of the one or more possible locations for the object to determine whether the object is found at a first location and at a second location; in response to determining that the object is found at the first location, determining that the plurality of suggested operations comprises retrieving the object from the first location; and in accordance with historic data and a plurality of prioritization policies, generating at least one suggestion to perform the plurality of suggested operations comprising retrieving the object from the first location.
12 . The method of claim 9 , wherein: the one or more additional interfaces of the user equipment further comprise a speaker.
13 . The method of claim 12 , wherein the dynamic notification comprises an image in the display accompanied by a sound in the speaker, the sound being associated with the image.
14 . The method of claim 8 , wherein the context data from the interface is collected over a predefined time duration.
15 . A non-transitory computer readable medium storing instructions that when executed by a processor cause the processor to: perform, during a first period of time, a plurality of operations in a user equipment in accordance with a plurality of existing configuration commands the user equipment comprising an interface configured to perform the plurality of operations in the user equipment; collect context data from the interface during the first period of time, wherein: the context data is representative of information surrounding the user equipment while the plurality of operations is performed by the interface during the first period of time; and the information surrounding the interface is collected by one or more additional interfaces of the user equipment; train, during a first stage, a machine learning algorithm using historical data associated with the user equipment to account for one or more situations and conditions changing the context data; actively generating, using the trained machine learning algorithm, a plurality of insights for the context data; generate, using the trained machine learning algorithm, a plurality of dynamic configuration commands based at least in part upon the plurality of insights for the context data, wherein: the plurality of dynamic configuration commands is generated to relieve stress conditions in future processing operations; and the plurality of dynamic configuration commands comprises possible updates to the plurality of existing configuration commands; determine, using the trained machine learning algorithm, whether the plurality of dynamic configuration commands comprise commands that are different from those comprised in the plurality of existing configuration commands; in response to determining that the plurality of dynamic configuration commands comprise commands that are different from those comprised in the plurality of existing configuration commands, generate, using the trained machine learning algorithm, a plurality of suggested operations using a specific service in the user equipment based at least in part upon the plurality of dynamic configuration commands; modify the plurality of existing configuration commands to comprise the plurality of dynamic configuration commands to perform the plurality of suggested operations during a second period of time; provide, via the interface, a dynamic notification to perform the plurality of suggested operations in the user equipment in accordance with a modified version of the plurality of existing configuration commands; perform, during the second period of time, the plurality of suggested operations in the user equipment in accordance with a modified version of the plurality of existing configuration commands; and train, during a second stage, the machine learning algorithm using the historical data and the modified version of the plurality of existing configuration commands.
16 . The non-transitory computer readable medium of claim 15 , wherein: the interface is a display; and the dynamic notification is provided via the display.
17 . The non-transitory computer readable medium of claim 16 , wherein in conjunction with collecting the context data during the first period of time, the processor is further caused to: analyze a plurality of images shown in the display; and extract text data, image data, and service metadata associated with one or more services of a service directory from the plurality of images.
18 . The non-transitory computer readable medium of claim 17 , wherein in conjunction with generating the plurality of dynamic configuration commands, the processor is further caused to: determine action data based at least in part upon the text data, the image data, and the service metadata extracted from the plurality of images; in a case when the action data comprises retrieving an object, identify location data associated with one or more possible locations for the object; reference the location data with inventory stock data of the one or more possible locations for the object to determine whether the object is found at a first location and at a second location; in response to determining that the object is found at the first location, determine that the plurality of suggested operations comprises retrieving the object from the first location; and in accordance with historic data and a plurality of prioritization policies, generate at least one suggestion to perform the plurality of suggested operations comprising retrieving the object from the first location.
19 . The non-transitory computer readable medium of claim 16 , wherein: the one or more additional interfaces of the user equipment further comprise a speaker.
20 . The non-transitory computer readable medium of claim 19 , wherein the dynamic notification comprises an image in the display accompanied by a sound in the speaker, the sound being associated with the image.

Description

TECHNICAL FIELD The present disclosure relates generally to predicting operation suggestions in a communication system, and more specifically to a system and method to generate suggestions based on dynamic notification data. BACKGROUND In some wireless communications systems, user devices waste resources trying to identify new operations to perform. These device resources may be power resources, memory resources, and processing resources that a given user device consumes while a user attempts to determine a new operation to perform in the given user device. The device resources are wasted when the given user device lacks any immediate operations that may be useful to a corresponding user. For example, device resources may be wasted by attempting to enter a search query in a search engine and scrolling through services to identify restaurants in a city that are open at a given time just to find out that there are no restaurants open in the city for the given time. In another example, device resources may be wasted in the process of trying to decide a specific service to use among multiple services available. SUMMARY OF THE DISCLOSURE Generating Suggestions Based on Dynamic Notification Data In one or more embodiments, the system and method disclosed herein generate suggestions based on dynamic notification data. In particular, the system and method may be configured to provide real-time suggestions that recommend operations to be performed based at least in part upon context data associated with a user equipment. In one or more embodiments, the system and method described herein are integrated into a practical application to provide real-time contextual suggestions based on information shown in the user device. In some embodiments, the system and method may be configured to contextually analyze images and sounds in real-time and suggest actionable prompts based on the content of the context data and a dynamic user profile associated with the user equipment. In other embodiments, the system and method are configured to provide the suggestions based at least in part upon evaluating inventory stock data of services available to the user equipment. For example, the system and method may be configured to generate a suggestion that comprises retrieving an object from a store. In this regard, the suggestion may comprise operations that guide the user to the store after determining that the store matches preferences associated with the user device and the context data. In addition, the system and method described herein are integrated into a technical advantage of increasing processing speeds in a computer system, because processors associated with the system and method comprise a machine learning algorithm that actively generate insights for the context data. In the machine learning algorithm, the system and method may provide the dynamic configuration commands based on some or all dynamic notification data obtained from the context data. As the machine learning algorithm is trained to account for many of the situations and conditions changing in the context data, multiple dynamic configuration commands are generated to relieve stress conditions in future processing operations. In some embodiments, the system and method may generate real-time prompt suggestions that recommend operations for the user. In this regard, resources may be saved in the user equipment by identifying new relevant operations to perform. The device resources may be power resources, memory resources, and processing resources that the user equipment saves by proactively and automatically determining a new immediate operation to perform. In one or more embodiments, the system and method may be performed by an apparatus, such as a server, communicatively coupled to multiple network components in a core network, one or more base stations in a radio access network, and one or more user equipment. Further, the system may be a wireless communication system, which comprises the apparatus. In addition, the system and method may be performed as part of a process performed by the apparatus communicatively coupled to the network components in the core network. As a non-limiting example, the apparatus may comprise a memory and a processor communicatively coupled to one another. The memory may be configured to store multiple existing configuration commands instructing execution of one or more operations. The processor may be configured to perform multiple existing operations in accordance with the existing configuration commands, and collect dynamic notification data from one or more interfaces configured to perform the existing operations. The dynamic notification data may comprise context data representative of the existing operations performed by the one or more interfaces. Further, the processor is configured to generate multiple dynamic configuration commands based at least in part upon the dynamic notification data. The dynamic configuration commands