Simple Recommender System Web Service

Created: 2012-05-10 08:43:16      Last updated: 2012-05-10 08:49:48

 This workflow takes macro value of user request and computes top-n recommendations from already learned model on train set. Macro value is transformed to example set with

the appropriate \textit{user identification} role within \textit{ProcessInput} subprocess operator.

 

Simple recommendation web service workflow takes three inputs:

\begin{enumerate}

\item Macro value \textit{user} - identification number of user request

\item Train set from RM repository

\item Learned Model from RM repository

\end{enumerate}

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