recommender syste in python
Using the files ratings.dat which contains user_id, movie_id, ratings, timestamp. Users.dat which contains user_id, gender, age, occupation, zip code and file movies.dat which contains movie_id, title, genres. Can also identify and incorporate data from other sources for example imdb.com. The system should be able to recommend 5 movies for a given user. The system can take as input a user’s info and or ratings of movies and output a set of 5 recommended movies. Also have to provide answers to the following questions: 1. Which recommendations approach did you use and why? Please cite relevant literature (5 points). 2. What knowledge does your recommender system need in order to function? Did you use any external data sources, e.g datasets etc? (20 points. 15 for extra sources and 5 for describing the knowledge needed). 3. Describe how your algorithm/code works (25 points. 20 for description 5 for code). 4. Evaluate your algorithm, either offline or with a user study. Decribe the evaluation setup and results (10 points). 5. Reflect on your work. How does your algorithm perform? How can you improve on it in the future (10points).
I have spent a lot of time on this because this is the first time I am learning python. So a lot of time is spent just trying to understanding python including getting the software to work. I have some code but can’t get it to request user input unless I am overthinking this it is my understanding that get a request run the code and it outputs recommendations, please help.