For two hours you were hoping the plot would get better, but it never did. This new site is able to predict specific movies each user will enjoy without viewing one clip of the flick. Movie lists are custom made to fit the tastes of the person who logs on. The site also allows users to rate movies they've seen and write reviews for others to read. U assistant professor Joseph Konstan, one of the researchers for MovieLens, says it's an example of a new marketing strategy to appeal to consumers as people instead of numbers.
People are tired of getting something that was created for everyone.
Konstan worked with U professor John Riedl to create the site under their GroupLens project. Like the movie site, GroupLens is a filtering system. It surfs through hundreds of messages on Usenet news to pinpoint specific information. The site promises to help companies find the right U expert quickly and easily. It gives you the Web site database to find the information yourself, or you can contact someone to help you search the database.