7.00.02 - Output - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Content Type
Programming Reference
User Guide
Publication ID
B700-1022-700K
Language
English (United States)
Last Update
2018-04-17
KNNRecommenderPredict Example Output Table
userid itemid prediction
1 3703 5.11
1 2176 4.98
1 27773 4.94
1 1217 4.94
1 141 4.90
2 1269 4.86
2 2176 4.85
2 446 4.85
2 27773 4.77
2 3703 4.75
3 318 4.73
3 1217 4.65
3 2352 4.60
3 898 4.59
3 1247 4.58
4 3703 5.05
4 141 4.85
4 538 4.82
4 1240 4.81
4 858 4.79
5 44555 5.08
5 232 5.04
5 6664 4.99
5 76251 4.96
5 1516 4.92
6 2019 5.01
6 106487 4.94
6 951 4.92
6 141 4.86
6 3703 4.85
7 3703 4.99
7 318 4.94
7 141 4.93
7 1279 4.84
7 3702 4.76
8 1269 4.84
8 2183 4.64
8 1224 4.63
8 1883 4.61
8 1279 4.61
9 3703 4.83
9 8783 4.69
9 922 4.64
9 3504 4.57
9 7981 4.57
10 1269 4.45
10 3730 4.44
10 27773 4.43
10 1939 4.42
10 1136 4.39

Some predicted ratings are higher than 5, even though the maximum rating is 5. The weighted KNN recommendation algorithm does not limit its results to the range of the input data. The outcome of interest are the items with the highest recommendation score; if the resulting ratings must be limited to a specific range, the output data can be normalized as needed.