Output - Aster Analytics

Teradata Aster® Analytics Foundation User GuideUpdate 2

Product
Aster Analytics
Release Number
7.00.02
Published
September 2017
Language
English (United States)
Last Update
2018-04-17
dita:mapPath
uce1497542673292.ditamap
dita:ditavalPath
AA-notempfilter_pdf_output.ditaval
dita:id
B700-1022
Product Category
Software
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.