KNNRecommenderPredict Arguments - Teradata Vantage

Machine Learning Engine Analytic Function Reference
Product
Teradata Vantage
Release Number
8.00
1.0
Published
May 2019
Language
English (United States)
Last Update
2019-11-22
dita:mapPath
blj1506016597986.ditamap
dita:ditavalPath
blj1506016597986.ditaval
dita:id
B700-4003
lifecycle
previous
Product Category
Teradata Vantage™
UserIDColumn
[Optional] Specify the user_rating_table column that contains the user IDs.
Default: First user_rating_table column
Specify either all or none of UserIDColumn, ItemIDColumn, and RatingColumn. If you specified them in the KNNRecommender call that created the weights and bias tables that the KNNRecommenderPredict call uses, specify them in the KNNRecommenderPredict call, with the same values.
ItemIDColumn
[Optional] Specify the user_rating_table column that contains the item IDs.
Default: Second user_rating_table column
RatingColumn
[Optional] Specify the user_rating_table column that contains the ratings.
Default: Third user_rating_table column
TopK
[Optional] Specify the number of items to recommend for each user. The function recommends the top_k_recommendations highest-rated items.
Default: 3