Facebook Offers Video Suggestions to Keep Users Watching

The social network Facebook is experimenting again with video in its users’ News Feeds. This time, in the iOS app, Facebook users will now see a carousel of video suggestions after watching their friends’ video creations. This new feature makes it easy for users to watch a series of videos and has the potential to eventually become an advertising tool. Currently, the suggested video player only works with user content that is directly uploaded to Facebook. Continue reading Facebook Offers Video Suggestions to Keep Users Watching

Google Acquires Songza: Music Service with Focus on Context

Google is buying online radio service Songza for an undisclosed amount, in a move that could lead to increased competition with Apple, Amazon and others. The Pandora-like service anticipates the kinds of songs users want to hear with contextual playlists, a model that could be key to a future focused on the Internet of Things. The deal comes after Apple purchased Beats Music, Amazon launched its Prime Music service, and Google’s own YouTube readies a music service for this summer. Continue reading Google Acquires Songza: Music Service with Focus on Context

Netflix Will Use Deep Learning to Improve Recommendations

Netflix has been experimenting with new methods of artificial intelligence to improve its products. The streaming service has plans to begin using deep learning models, and while it has yet to specify what exactly it will be improving, the service is likely to use the tech for enhancing its movie recommendations feature. Other companies have also begun putting deep learning into practice in order to train their systems to better recognize text and images, as well as their meanings. Continue reading Netflix Will Use Deep Learning to Improve Recommendations

Twitter Providing TV Suggestions Based on its User Activity

Twitter is intent on becoming like a social TV guide for its users, and the newest phase of that strategy can be seen in the platform’s latest app update. Now, in the corner of the screen, Twitter promotes television shows to users based on how active those users are. The idea is to drive traffic to TV programs. Down the line this kind of marketing will likely be monetized, but it needs to be done in a way that current and new users understand and do not find annoying. Continue reading Twitter Providing TV Suggestions Based on its User Activity