Consumers love entertainment and television is the king of entertainment with 100's of channels and 1000's of shows. Needless to say, online streaming websites (like Hulu, Netflix, Fancast, Cinemanow etc) are becoming the next attractive destination for entertainment with 1000's of full-length shows and movies. So, people live in a world of never-ending choices and they definitely need a sophisticated, fast and intuitive way to find those shows they'll love to watch both on TV and online. Today, we have an antiquated TV guide that is extremely difficult to use and is totally not personalized. On the other hand, there are many video search websites that do nothing more than bringing results for the search queries. This leaves users with struggle, disappointment and missed opportunity. One requires a mechanism that'll learn user's taste and automatically suggest what to watch on TV and online.
Cruxle has created the next-generation media guide in order to solve this problem. Cruxle takes very little information from the user (like their age, gender and a couple of favorite movies or TV shows or music or books) and automatically shows what's on TV and online the user will love to watch. Perhaps, it will eventually learn about the user better based on user's viewing behavior. Cruxle has pre-built a huge database of user-likes and user-dislikes by actively mining conversations that happen in social networks like MySpace, Twitter, Facebook etc where users voluntarily express themselves. By combining user's taste with the pre-built database and with several other factors, Cruxle creates recommendations that are totally personalized. On top of it, one can also search for a movie or a TV show and find details like it's availabilty on TV and online. Cruxle will then recommend more movies or TV shows based on the search results.
Cruxle also breaks the old fashioned way of presenting results in a grid, simply because it's hard to use and navigate a grid. At Cruxle, the recommendations are presented in a very simple and intuitive way.