Contents

Title and Copyright Information

Preface

• Intended Audience
• Documentation Accessibility
• Requirements
• Where to Find More Information
• Online Help
• Conventions

1 Introducing OracleAS Personalization

• 1.1 What Is Personalization?
• 1.2 What Is OracleAS Personalization?
• 1.3 OracleAS Personalization Components
• 1.3.1 Location of OracleAS Personalization Components
• 1.4 How It All Works
• 1.5 What Kind of Data Does OracleAS Personalization Collect?
• 1.6 How Does OracleAS Personalization Collect the Data?
• 1.7 What Does OracleAS Personalization Do with the Data?
• 1.7.1 Predictive Models Built by OracleAS Personalization
• 1.7.2 Defining and Using Taxonomies
• 1.7.3 Filtering Recommendations

2 The OracleAS Personalization Administrative UI

• 2.1 Administrative UI Overview
• 2.1.1 Login Page
• 2.1.2 Home Page
• 2.1.3 Farms Page
• 2.1.4 Packages Page
• 2.1.5 Schedules Page
• 2.1.6 Reports Page
• 2.1.7 Log Page
• 2.2 Obtaining OracleAS Personalization Recommendations
• 2.2.1 Create an RE Farm with an RE
• 2.2.2 Create a Package
• 2.2.3 Schedule a Build
• 2.2.4 Schedule a Deployment
• 2.2.5 Summary
• 2.2.6 MTR Sample

3 Using the REAPI Demo

• 3.1 Before Running REAPI Demo
• 3.2 Start REAPI Demo
• 3.2.1 Proxies
• 3.2.2 View Source Code
• 3.3 Exercises
• 3.3.1 Values and Results
• 3.3.2 Exercise 1: Creating a Proxy
• 3.3.3 Exercise 2: A Stateful Web Application
• 3.3.4 Exercise 3: A Stateless Web Application
• 3.3.5 Exercise 4: Change Visitor to Customer
• 3.4 Summary

A Recommendation Algorithms

• A.1 Predictive Association Rules
• A.2 Transactional Naive Bayes

Glossary

Index