Oracle9iAS Personalization Getting Started with Oracle9iAS Personalization Release 9.0.1 Part Number A87535-01 |
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This chapter walks you through the administrative tasks of creating an RE Farm with one recommendation engine, building a package, and deploying that package to the RE Farm.
To perform these steps, you will need information that was established during installation and configuration, such as database and schema names and locations. If the OP Administrative UI isn't still up, bring it up by typing the following in the URL field of your browser.
http://<hostname-oracle9i>/OP/Admin/
where <hostname-oracle9i>
is the name of the system on which Oracle 9i and the OP components associated with the database are installed.
Log in with a user name and password as advised by your DBA.
The first step is to create an RE Farm. There are two ways to start:
On the Create Recommendation Engine Farm page,
For the database connection details, you will need information that was provided during installation.
Note: If you click Cancel instead of OK, the information you have entered is lost.
Next, create a package.
To create a package, you must have a connection to the MTR. If you do not have an MTR connection,
Now you can create a package:
On the Create Build Schedule page, select
On the Create Deployment Schedule page,
You have created an RE Farm with one RE, and you have created a package and scheduled its build and deployment.
Check back after a few minutes to see whether the package has yet built and deployed. When the package has built and deployed successfully, you can use it to collect data and make recommendations using the Recommendation Engine API.
Next, browse the contents of the Mining Table Repository (MTR) database used to build the model. This is the prepopulated MTR that is installed when OP is installed if you select that option. This prepopulated MTR provides the data needed to perform the exercises described in this manual.
Use SQL*Plus commands to examine the contents of any of the database tables. The table below shows what part of one of the MTR database tables looks like. It contains movie ratings by customers, demographic data on those customers, an ID for each movie that was rated, the rating given the movie by the customer, and the data source type.
This sample comes from a large database table that contains movie ratings by customers, demographic data on those customers, an ID for each movie that was rated, and the rating given the movie by the customer. Table columns are as follows:
For more information about the OP schemas, see the Oracle9iAS Personalization Administrator's Guide, especially Chapter 8.
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