The following table shows ratings for six people and six movies.
|
|
Movie 1
|
Movie 2
|
Movie 3
|
Movie 4
|
Movie 5
|
Movie 6
|
|
Jane
|
|
5
|
|
4
|
|
|
|
Jill
|
4
|
|
3
|
|
3
|
|
|
Britney
|
5
|
5
|
4
|
5
|
4
|
4
|
|
Phil
|
|
|
|
|
1
|
2
|
|
Gloria
|
3
|
|
7
|
|
5
|
|
|
Mitchell
|
|
|
2
|
4
|
4
|
3
|
1. Use user-based filtering to predict each missing rating in the table.
2. Use item-based filtering to predict each missing rating in the table.
3. How could the concept of a Training set be used to improve the quality of the estimated ratings defined by Equations 1 and 2.