Project 1: Recommender sys- tems based on Latent Factor Models
Submission
• Prediction Submission in Kaggle
• Jupyter notebook submit to Blackbroad
Note: the submission in Kaggle must be consistent with the notebook submitted to Blackbroad, otherwise the final score will be zero.
Kaggle Submission
• SubmityourfinalsolutionintoKaggle(https://www.kaggle.com/t/6eb67b4cc5c34622899aa5bbd8ddd7cf) (You must log in using this link).
• Use your student ID for all team members as your team name. For example, “1155111111; 1155111112; 1155111113”.
• Don’t cheat! Immediately fail the course if there is any cheating among groups.
Notebook Submission
The notebook should consist of following components:
Team members
At beginning of the notebook, you should include “Student Name” and “Student ID”.
Contribution
The contribution of each team member should be clearly stated in the Notebook
Exploratory data analysis (EDA)
- Checking the description of the datatsets like the data types, how many users, items, etc
- Visualization on some important parts like most rated items, most popular items, most rated users, frequency of ratings
- Any other factors can help you make prediction
Model building
You may try many models and pick up the best one. I recommend you to introduce your final model as the structure as follows.
1
- Attempt model 1: (i) Which model you want to use; (ii) Any hyperpa- rameters? how to tune; (iii) performance in Public Leaderboard; (iv) Any issue? (v) how to make improvement.
- Attempt model 2: (i) Which model you want to use; (ii) Any hyperpa- rameters? how to tune; (iii) performance in Public Leaderboard; (iv) Any issue? (v) how to make improvement.
- Maybe more attempts . . .
- You final model: (i) Which model you want to use; (ii) Any hyperparame- ters? how to tune; (iii) performance in Public Leaderboard; (iv) Explain why you think the model is the best.
Result
- Print the user_id, item_id, and pred_rating, for the T-th record in the test.csv, where T is the last four digits of your student Id. For example, if your student Id = 1155111111, please print the 1111-th record.
- Print the top-5 preferred items based on your predicted_rating for the user_id in the above question.