Have you been to the movie rental place recently? I was just there a few days ago and like usual, had no idea what to get. I like suspense and drama..but I was not sure of the titles that were there. I tried reading the summaries but how much can you really get out of those? There is never really a guarantee that you are actually going to like the movie you pick…even after your best friends recommends it. Enter the new web 2.0 technologies. Jinni is a new social search-and-recommendation engine that uses their “Movie Genome” to make movie recommendations. Jinni is an effort to combine a complicated tagging methodology and user suggestions/input to provide the best and most logical movie recommendations for users. The movie genome is an intense effort being done by Jinni. When a movie starts, Jinni experiences staff starts tagging the movie, trying to best capture data such as: genre, plot, storyline, mood, etc. 
After some time, the genome application learns the method of identifying tags and takes over this process from the Jinni staff. This mix of human and machine identification and tagging is supposed to provide the most expertise movie recommendations. Jinni is even working on a wiki. This purpose of this wiki would be to define all of the different genes that describe numerous aspects of video. The wiki is supposed to be editable by users so as to really get the users involved. This concept is really good and reaches out to the target market and tries to get them involves. If customers are allowed to modify what defines certain genes, Jinni is in essence allowing the customers to be involved in the recommendation process. This makes the customer feel like they have something to add and thus draws in users more. I believe that Jinni has a very strong future. The days when a family sat down and just watched channel 4 are gone. Users are more likely to search for a show based on some characteristic. For example, users may search for comedy and scroll through some list brought back by the service provider. Jinni is a solution to problem that us just really evolving now. With the demand for video on demand increasingly enormously, Jinni offers a unique offering by being able to provide a discovery solution for premium video content.
After some time, the genome application learns the method of identifying tags and takes over this process from the Jinni staff. This mix of human and machine identification and tagging is supposed to provide the most expertise movie recommendations. Jinni is even working on a wiki. This purpose of this wiki would be to define all of the different genes that describe numerous aspects of video. The wiki is supposed to be editable by users so as to really get the users involved. This concept is really good and reaches out to the target market and tries to get them involves. If customers are allowed to modify what defines certain genes, Jinni is in essence allowing the customers to be involved in the recommendation process. This makes the customer feel like they have something to add and thus draws in users more. I believe that Jinni has a very strong future. The days when a family sat down and just watched channel 4 are gone. Users are more likely to search for a show based on some characteristic. For example, users may search for comedy and scroll through some list brought back by the service provider. Jinni is a solution to problem that us just really evolving now. With the demand for video on demand increasingly enormously, Jinni offers a unique offering by being able to provide a discovery solution for premium video content. 
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