Hi, I'm currently working on a website to demonstrate a recommender system using Machine Learner. As per chosen scenario I've displayed movie recommendations according to user id, using the model which I built using collaborative filtering algorithm by uploading a dataset , therefore recommendation list varies according to current user.
As the next step I've managed to build the model using a DAS table as I'm planning to update the DAS table accordings to rates provided by current user, in that case I'm building a new model in ML for every 3 hours using a script and displaying the recommended movies according to latest model. As I'm still working on this task I'll update the details accordingly. Appreciate any suggestions and comments. -- *Nethaji Chandrasiri* *Software Engineering* *Intern; WSO2, Inc.; http://wso2.com <http://wso2.com/>* Mobile : +94 (0) 779171059 <%2B94%20%280%29%20778%20800570> Email : neth...@wso2.com
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