The algorithm powering TikTok’s vaunted For You page is reportedly getting help from human collaborators. Although the personalized feed was said to be based on user interests and selections, “employees regularly engage in ‘heating,’ a manual push that ensures specific videos ‘achieve a certain number of video views,’ according to six sources and documents reviewed by Forbes.” What’s more, while the algorithm does have a say in what goes viral, staff at TikTok and ByteDance are also hand-picking specific videos to give preferential treatment, saturating their distribution throughout the user base. Continue reading TikTok Is Accused of Manually ‘Heating’ Personalization Feed

Sling TV, the Internet TV service from Dish Network, unveiled a new user interface at CES this week. The service is shifting emphasis from live television to on-demand content, with a new menu section that allows people to save a list of their favorite TV shows and movies and search by content, rather than by channel. Sling also tweaked the interface so that customers can discover the add-on packages of channels and purchase them directly from their TV or smartphone. Continue reading Sling TV: Redesigned Interface Highlights On-Demand Content

The BBC introduced “Visual Perceptive Media,” an experimental project out of its R&D unit in Salford, UK, which allows video stories to adapt in response to individuals’ personalities and tastes. The British broadcaster earlier created the audio-based Perceptive Media project; a radio drama makes adaptations based on the listener’s location, time of day and other factors such as proximity to the device and background noise. The video-based project begins with a mobile app that conducts a personalization process. Continue reading The BBC Experiments with TV Shows That Adapt to Personality

The New York Times is in the process of tweaking its recommendation engine by integrating two previously used models. The Recommended for You section of NYT provides suggested content from over 300 articles, blog posts and interactive stories that are published every day. By personalizing the content that appears on apps and the website, readers are directed to stories that have the greatest interest and relevancy to them. NYT described its efforts to rebuild the engine for maximum efficiency and accuracy. Continue reading New York Times’ New Algorithm Improves Recommendation Engine