In assignment 1 you shall implement a recommendation system for the movies data set in any programming language you like. You can work alone or in group of two students. You shall present your application and code at an oral examination.

Grade	Requirements
E	Build a recommendation system that can find similar users and find recommendations for a user, using the movies large dataset (see Datasets page) You can verify that your application works by using the example dataset from the lecture (can also be downloaded at the Datasets page) Implement the recommendation system using a RESTful web service as back-end, and a browser client GUI as front-end Use Euclidean distance as similarity measure
C-D	Implement the Pearson Correlation similarity measure It shall be possible to select which measure to use from the web application
A-B	Implement functionality for pre-generating an Item-Based Collaborative Filtering table by transforming the original data set Use the pre-generated table to implement a second way of finding recommendations for a user It shall be possible to select how to find recommendations from the web application (Item-Based or User-Based)