Content delivery system

Abstract

Personalized content delivery (e.g., using a computerized tool) is enabled. For example, a system can comprise: a processor and a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising: determining a quality of service metric representative of a quality of service of streamed content delivered via a content delivery network, determining a quality of experience metric representative of a quality of experience associated with a user profile of a consumer of the streamed content, and based on the quality of service and the quality of experience, modifying the streamed content.

What is claimed is: 
     
         1 . A system, comprising:
 a processor; and   a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising:
 based on a quality of service metric representative of a quality of service of streamed content delivered via a content delivery network and a quality of experience metric representative of a quality of experience associated with a user profile applicable to a consumer of the streamed content, generating a test to be presented via a user interface of the system; and 
 based on a result of the test, modifying the streamed content, wherein modifying the streamed content results in modified streamed content different from the streamed content. 
   
     
     
         2 . The system of  claim 1 , wherein the quality of service metric comprises a throughput of the content delivery network or a latency of the content delivery network. 
     
     
         3 . The system of  claim 1 , wherein the quality of service metric comprises packet loss associated with the streamed content. 
     
     
         4 . The system of  claim 1 , wherein the quality of service metric or the quality of experience metric is based on a biometric indicator of the consumer of the streamed content. 
     
     
         5 . The system of  claim 4 , wherein the biometric indicator comprises an eye squint of the consumer determined via a camera of the system or a sound from the consumer captured via a microphone of the system. 
     
     
         6 . The system of  claim 4 , wherein the biometric indicator comprises a vital health metric determined via a wearable device, of the system, worn by the consumer of the streamed content. 
     
     
         7 . The system of  claim 1 , wherein the test comprises a defined visual test configured to determine a visual ability or limitation of the consumer. 
     
     
         8 . A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:
 determining a quality of service metric representative of a quality of service of streamed content delivered via a content delivery network;   determining a quality of experience metric representative of a quality of experience associated with a user profile associated with a user identity of a consumer of the streamed content, wherein the user profile is generated using a user profile model, and wherein the user profile model has been generated using machine learning applied to past streamed content other than the streamed content; and   based on the quality of service and the quality of experience, modifying the streamed content.   
     
     
         9 . The non-transitory machine-readable medium of  claim 8 , wherein modifying the streamed content comprises:
 in response to a determination that
 the quality of service fails to satisfy a defined quality of service threshold, or 
 the quality of experience fails to satisfy a defined quality of experience threshold, 
   replaying a portion of the streamed content determined to be associated with the failure to satisfy the defined quality of service threshold or the failure to satisfy the defined quality of experience threshold.   
     
     
         10 . The non-transitory machine-readable medium of  claim 8 , wherein modifying the streamed content comprises modifying delivery of the streamed content. 
     
     
         11 . The non-transitory machine-readable medium of  claim 10 , wherein modifying the delivery of the streamed content further comprises changing from a first delivery scheme to a second delivery scheme, different from the first delivery scheme. 
     
     
         12 . The non-transitory machine-readable medium of  claim 11 , wherein the first delivery scheme comprises an extended reality transmission of the streamed content. 
     
     
         13 . The non-transitory machine-readable medium of  claim 10 , wherein the streamed content comprises first streamed content displayed via first display equipment, and wherein modifying the delivery of the streamed content further comprises displaying second streamed content, associated with the first streamed content, via second display equipment. 
     
     
         14 . The non-transitory machine-readable medium of  claim 8 , wherein the quality of service is determined based on a hardware characteristic of user equipment associated with the user profile. 
     
     
         15 . The non-transitory machine-readable medium of  claim 8 , wherein modifying the streamed content comprises:
 based on the quality of service or the quality of experience, generating a breakout room; and   moving a group of user profiles, comprising the user profile, to the breakout room, wherein the group of user profiles are determined to comprise threshold similar quality of service of quality of experience.   
     
     
         16 . A method, comprising:
 based on a quality of service metric representative of a quality of service of streamed content delivered via a content delivery network to a first group of user profiles represented in a first virtual meeting space, and based on a quality of experience metric representative of a quality of experience associated with a user profile applicable to a consumer of the streamed content, generating, by a system comprising a processor, a second virtual meeting space, different from the first virtual meeting space, wherein a second group of user profiles represented in the second virtual meeting space are delivered modified streamed content, different from the streamed content; and   moving, by the system, a subgroup of the first group of user profiles, comprising the user profile, from the first virtual meeting space to a second virtual meeting space, wherein respective user profiles of the subgroup of the first group of user profiles are determined to specify respective qualities of service or respective quality of experiences that are threshold similar to the quality of service or the quality of experience for the second virtual meeting space.   
     
     
         17 . The method of  claim 16 , wherein the quality of service is determined, by the system, using a quality of service model, and wherein the quality of service model has been generated, by the system, using machine learning applied to past qualities of service of past streamed content other than the streamed content. 
     
     
         18 . The method of  claim 16 , wherein the quality of experience is determined, by the system, using a quality of experience model, and wherein the quality of experience model has been generated, by the system, using machine learning applied to past qualities of experience of past streamed content other than the streamed content. 
     
     
         19 . The method of  claim 16 , further comprising:
 based on the quality of service and the quality of experience, generating, by the system, a test to be presented via a user interface of the system, wherein modifying the streamed content is further based on a result of the test.   
     
     
         20 . The method of  claim 16 , further comprising:
 receiving, by the system via the content delivery network, a request to modify the streamed content, wherein the streamed content is modified, by the system, based on the request.