Methods, systems, and devices for providing video content to a communication device

A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations, the operations comprising:

• determining a user associated with the processing system;
• obtaining first viewing information associated with the user, wherein the first viewing information comprises a first probability indicating a probability that a user skips viewing a video, wherein the first viewing information comprises a second probability that a user views an entire video;
• determining available computer resources associated with the processing system;
• selecting a portion of a group of artificial intelligence (AI) models based on the available computer resources, wherein the portion of the group of AI models comprises one or more of the group of AI models;
• determining a first group of videos to request from a server based on the first probability and the second probability utilizing an AI software application, wherein the AI software application implements the portion of the group of AI models, wherein a first number of videos of the first group of videos is calculated according to an equation comprising [(log 10(1−[(p1−p2)/P(z)])/log 10(p2/p1)]−1, wherein p1 is equal to the first probability, wherein p2 is equal to the second probability, wherein P(z) is a probability of no videos are stored in a video buffer of the processing system and the user skips viewing a current video;
• requesting, over a communication network, the first group of videos from a server, wherein the server selects first communication link and a second communication link from a group of communication links to transmit the first group of videos based on a probability to successfully transmit a video from the first group of videos is less than successful transmission threshold and a probability to unsuccessfully transmit the video from the first group of videos satisfies an unsuccessful transmission threshold, wherein the probability to successfully transmit the video from the first group of videos is according to an equation q1w1+(1−q1)q2w2=A and the probability to unsuccessfully transmit the video from the first group of videos is according to an equation q1(1−w1)+(1−q1)q2(1−w2)=B, wherein q1 is a probability that the first communication link is available, w1 is equal to a probability that the video is successfully transmitted over first communication link, q2 is equal to a probability that the second communication link is available, and w2 is equal to a probability that the video is successfully transmitted over the second communication link;
• receiving, over the communication network, the first group of videos from the server;
• storing the first group of videos in the video buffer of the processing system;
• and
• presenting a first video from the first group of videos to the user on a display of the processing system.

A communication device, comprising:

• a processing system including a processor;
• and
• a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising:
• determining a user of the communication device;
• obtaining first viewing information associated with the user, wherein the first viewing information comprises a first probability indicating a probability that a user skips viewing a video, wherein the first viewing information comprises a second probability that a user views an entire video;
• determining available computer resources associated with the communication device;
• selecting a portion of a group of artificial intelligence (AI) models based on the available computer resources, wherein the portion of the group of AI models comprises one or more of the group of AI models;
• determining a first group of videos to request from a server based on the first probability and the second probability utilizing an AI software application, wherein the AI software application implements the portion of the group of AI models, wherein a first number of videos of the first group of videos is calculated according to a first equation comprising [(log 10(1−[(p1−p2)/P(z)])/log 10(p2/p1)]−1, wherein p1 is equal to the first probability, wherein p2 is equal to the second probability, wherein P(z) is a probability of no videos are stored in a video buffer of the communication device and the user skips viewing a current video;
• obtaining, over a communication network, second viewing information associated with a group of users from a social media server, wherein the second viewing information comprises a third probability indicating a probability that the group of users skips viewing a video, wherein the second viewing information comprises a fourth probability that the group of users views an entire video;
• determining a second group of videos to request from the server based on the third probability and the fourth probability utilizing the AI software application, wherein a second number of videos of the second group of videos is calculated according to a second equation comprising [(log 10(1−[(p3−p4)/P(z)])/log 10(p4/p3)]−1, wherein p3 is equal to the third probability, wherein p4 is equal to the fourth probability, wherein the P(z) is the probability of no videos are stored in the video buffer of the communication device and the user skips viewing the current video (p3);
• determining a device type associated with the communication device;
• determining a group of network conditions associated with the communication network;
• determining a location of the communication device;
• determining a time of day associated with the communication device;
• determining a third group of videos to request from the server based on the first group of videos, the second group of videos, the device type associated with the communication device, the group of network conditions, the location of the communication device, the time of day associated with the communication device, and the available computer resources associated with the communication device utilizing the AI software application;
• requesting, over a communication network, the third group of videos from a social media server, wherein the social media server selects first communication link and a second communication link from a group of communication links to transmit the first group of videos based on a probability to successfully transmit a video from the first group of videos is less than successful transmission threshold and a probability to unsuccessfully transmit the video from the first group of videos satisfies an unsuccessful transmission threshold, wherein the probability to successfully transmit the video from the first group of videos is according to an equation q1w1+(1−q1)q2w2=A and the probability to unsuccessfully transmit the video from the first group of videos is according to an equation q1(1−w1)+(1−q1)q2(1−w2)=B, wherein q1 is a probability that the first communication link is available, w1 is equal to a probability that the video is successfully transmitted over first communication link, q2 is equal to a probability that the second communication link is available, and w2 is equal to a probability that the video is successfully transmitted over the second communication link;
• receiving, over the communication network, the third group of videos from the social media server;
• storing the third group of videos in the video buffer of the communication device;
• and
• presenting a first video from the third group of videos to the user on a display of the communication device utilizing a social media software application associated with the social media server.