Abstract
Online news portals, personalized feeds, etc. can include content spoilers that can ruin a user’s online experience by revealing details of the plot of content such as television shows, movies, etc. This disclosure describes techniques to avoid spoilers by delaying the presentation of material pertaining to various types of content until a user has consumed the content. With user permission, a user’s content consumption history is accessed and utilized to identify news articles and other media that can be a content spoiler. Analysis of articles and other media can be performed using machine learning models or other suitable techniques to determine whether a particular article is a content spoiler for content that the user is interested in.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Faaborg, Alexander James and Barros, Brett, "Withholding Content and Recommendation Delivery to Avoid Spoilers", Technical Disclosure Commons, (March 11, 2021)
https://www.tdcommons.org/dpubs_series/4140