Method, system, and computer program product for personalized suggestions based on analysis of video depicting interactions or feedback

A system comprising:

• at least one programmable processor;
• and
• a machine-readable medium storing instructions that, when executed by the at least one processor, cause the at least one programmable processor to perform operations comprising:
• separating data packets within a video transmitted from a video device of a person to a communicator device of an entity, wherein the video depicts interactions or feedback of the person with one or more products of the entity;
• assigning the data packets to a plurality of channels associated with at least one of a first network connecting the communicator device to the Internet or a second network connecting the video device to the Internet, wherein the separated data packets are assigned to a channel from the plurality of channels based on a continuous assessment of latency of data transmission within one or more of the plurality of channels;
• transmitting, over the plurality of channels, the data packets with meta data indicating information regarding sequence of each packet within the video to cause a recommendation system to combine, using the meta data, the transmitted data packets from different channels of the plurality of channels into the video, comprising:
• transmitting, over one or more of the plurality of channels, a threshold number of duplicate data packets determined based on one or more optimization algorithms or a user input;
• and
• receiving, from the recommendation system, one or more personalized suggestions that were generated by:
• analyzing, subsequent to the combining of the transmitted data packets, the interactions or feedback of the person depicted in the video to generate an analysis specific to the person;
• and
• generating, using the analysis and one or more preferences of the entity comprising an image quality of the video, the one or more personalized suggestions.

A non-transitory computer program product storing instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform operations comprising:

• separating data packets within a video transmitted from a video device of a person to a communicator device of an entity, wherein the video depicts interactions or feedback of the person with one or more products of the entity;
• assigning the data packets to a plurality of channels associated with at least one of a first network connecting the communicator device to the Internet or a second network connecting the video device to the Internet, wherein the separated data packets are assigned to a channel from the plurality of channels based on a continuous assessment of latency of data transmission within one or more of the plurality of channels;
• transmitting, over the plurality of channels, the data packets with meta data indicating information regarding sequence of each packet within the video to cause a recommendation system to combine, using the meta data, the transmitted data packets from different channels of the plurality of channels into the video, comprising:
• transmitting, over one or more of the plurality of channels, a threshold number of duplicate data packets determined based on one or more optimization algorithms or a user input;
• and
• receiving, from the recommendation system, one or more personalized suggestions that were generated by:
• analyzing, subsequent to the combining of the transmitted data packets, the interactions or feedback of the person depicted in the video to generate an analysis specific to the person;
• and
• generating, using the analysis and one or more preferences of the entity comprising an image quality of the video, the one or more personalized suggestions.