Table 1 Movies recommended by different algorithms, \(m_g=2\)
From: A sample decreasing threshold greedy-based algorithm for big data summarisation
Algorithm | Movie id | Genres |
|---|---|---|
Greedy | 2367 | Adventure, Fantasy, Romance, Sci-Fi, Thriller |
26513 | Action, Adventure, Comedy, Sci-Fi | |
4629 | Action, Crime, Thriller | |
Max Sample (4) | 4629 | Action, Crime, Thriller |
736 | Action, Adventure, Romance, Thriller | |
6106 | Adventure | |
4545 | Comedy, Sci-Fi | |
4738 | Romance, Sci-Fi | |
Max SDTG (4) | 4369 | Action, Crime, Thriller |
42 | Action, Crime, Drama | |
146 | Adventure, Children | |
231 | Adventure, Comedy | |
1965 | Comedy, Sci-Fi | |
2656 | Horror, Sci-Fi | |
| ||
