The future smart TV can even know what games you love to play.



March 24 news, Internet smart TV service provider Huan Wang Technology released Smart Guide 2.0 products. In the future, smart TVs will be able to analyze your browsing history in depth. Not only will you be able to accurately provide personalized guides, games and other applications, but they will also be able to bring more commercial support to operators through big data.

Smart Guide 2.0 will actively push interested viewing content to smart TV users, realizing hot broadcast ranking and big data smart recommendation through real-time viewing, allowing users to find programs that they are interested in, and to use program viewing points and user ratings. Depth program interaction, make the program more interesting. In addition, Smart Guide 2.0 also talked about improving the operator's business through live portals, converting live streaming traffic to integrated business traffic, and increasing the value of TV screens through TV new media incremental advertising and interactive marketing communications.

In terms of functionality, Smart Guide 2.0 performs a brand-new function optimization in live broadcast recommendation, tagging system, in-depth operation, program interaction, content aggregation, and depth details compared to previous SmartView 1.0.

In terms of live streaming recommendations, Smart Guide 2.0 is based on the ratings of big data-based live broadcast programs and user portraits of TV groups for real-time calibration, and accurately adjusts the provided EPG information to form a label system with vivid colors. Tagging to achieve personalized matching. When the user is in a confused state and does not know which channel programs to watch, he will actively push the user's current live broadcast programs and your favorite types of programs, allowing the user to directly switch to the programs he wants to see at a glance.

In terms of in-depth operation of information and channels, Smart Guide 2.0 also optimizes the user growth system, channel sites, pre-announcement, program recommendations, synchronized theater, interactive previews and other modules. When users watch advertisements or change channels, they can participate in interactive activities with flexibility and diversification so that users do not change channels or choose your channel first. At the same time, as users watch channels, increase program duration, and accumulate the frequency of participating programs, user system growth factors continuously accumulate, allowing users to change and grow from watching TV to using TV to playing TV to making money. , making users become fans of TV stations and programs.

In terms of content aggregation, Smart Guide 2.0 upgraded the on-demand, back-to-view content aggregation, looked back to the on-demand programming, and provided comprehensive program depth information, program highlights, popular reviews, and film information.

Imagine if you sit in front of a TV in the future and turn around and watch various programs. At the same time, your smart TV is trying to record every one of your behaviors and build a comprehensive preference model based on your behavior. So that the next time we recommend more apps and sections for you.

For example, if you are a military fan, as long as you have on-demand several war movies and documentaries on a smart TV system with a cross-business recommendation engine, then perhaps the next second, the system will send you the latest and most exciting FPS shooting game. Or the latest World War II theme new movie.

JIANGMEN LEDERLIGHT LIGHTING Co.,LTD , https://www.lederlightcn.com

Posted on