MyStrands develops behavior-based recommendation technologies that help people organize and discover digital media, through Internet connected devices (computers, mobile devices, etc).
In an era of increased availability of digital content and information about people's preferences, behavior-based recommendation technologies are a necessary tool to help people discover what they will like. Discover both content and people with similar tastes, in the mobile, on-line and the off-line world.
The challenge is matching digital content to people's tastes. MyStrands provides this service.
MyStrands technology is based on human-generated links between items (songs, movies, games, ads, etc) much the way Google uses human-generated links between web-pages. MyStrands recommendation technology also considers that taste is context-sensitive and evolves over time.
MyStrands believes that complex networks of human-generated links between media items are the best mechanism to analyze how our society considers and uses the media it generates. Although the basic principles behind these networks are simple to explain and define, the resulting network is an immense and flexible medium for analysis and recommendation, making it a foundation of MyStrands Recommender System.
Commercially, the benefits of a Recommender System are many. They have been shown to increase efficiency by helping people manage content overload and dive into the long tail, boost sales through a higher probability of converting visits to transactions and higher units per transaction, and by transforming each "click" into a new up-sell/cross-sell opportunity. Personally, Recommender Systems help us organize and discover content that we might never find on our own.