Abstract
Disclosed herein is a mechanism for determining affinity scores for live video content. The mechanism can include identifying a live video stream and a target user. The mechanism can then determine viewership scores for users similar to the target user based on a number of users viewing the live video stream. The mechanism can update the viewership scores over time to determine whether the number of users is increasing or decreasing and whether users prefer to watch the video content when it is live or after it has already aired. The mechanism can determine an affinity of the target user for live video content. The mechanism can then calculate an affinity score of the target user for the live video stream based on the viewership score of other users and based on the affinity of the target user for watching live video content. The mechanism can update the affinity score of the target user for the video content over time as portions of the video stream air and are no longer live.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
"Determining Affinity Scores For Live Video Content", Technical Disclosure Commons, (December 12, 2017)
https://www.tdcommons.org/dpubs_series/967