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Oracle® Application Server Personalization User's Guide
10g Release 2 (10.1.2)
B14052-01
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Index

A  B  C  D  E  F  H  I  L  M  N  O  P  R  S  T  V 

A

add recommendation engine, 2.2.1
Administrative UI, 1.3, 2
algorithms, A
appSessionID, 1.6
Association Rules, Predictive, A.1

B

batch recommendation engine API, 1.3
Bayes theorem, A.2
build schedule, 2.1.5, 2.2.3
build settings, 2.1.4

C

components
location of, 1.3.1, 1.3.1
confidence, in rules, A.1
create build schedule, 2.1.5
create deployment schedule, 2.1.5
create package, 2.1.4, 2.2.2
create report schedule, 2.1.5
customerID, 1.6

D

data
collection process, 1.6
kinds of, 1.5
database
location of OracleAS Personalization components, 1.3.1
demo source code, 3.2.2
deployment schedule, 2.1.5, 2.2.4

E

exercises
REAPI demo, 3.3

F

Farms page, 2.1.3

H

help, online, Preface
Home page, 2.1.2

I

installation, 1.3.1
Itemized Recommendation Effectiveness Report, 2.1.6

L

Lift, for rules, A.1
Log page, 2.1.7
Login page, 2.1.1

M

market basket analysis, A.1
Mining Object Repository (MOR), 1.3
Mining Table Repository (MTR), 1.3
MOR schema, 2.1.1
MTR sample, 2.2.6

N

Naive Bayes, Transactional, A.2

O

online help, Preface
OracleAS Personalization
definition, Preface, 1, 1.2

P

package, 1.3
Packages page, 2.1.4
Predictive Association Rules, A.1
proxies, 3.2.1
creating, 3.3.2
Purchasing SessionReport, 2.1.6

R

RE Farm
create, 2.2.1
REAPI demo, 3
REAPI demo exercises, 3.3
REAPI demo source code, 3.2.2
recommendation algorithms, A
Recommendation effectiveness report, 2.1.6
recommendation engine (RE), 1.3
recommendation engine API (REAPI), 1.3
recommendation engine farm (RE Farm), 1.3, 1.7
recommendation engines (REs), 1.7
recommendnations
obtaining, 2.2
report
Itemized RecommendationEffectiveness Report, 2.1.6
purchasing session, 2.1.6
Recommendation Effectiveness Report, 2.1.6
Report page, 2.1.6
Report schedule, 2.1.5
requirements, Preface

S

Schedules page, 2.1.5
scheduling, 1.7
build, 2.1.5, 2.2.3
deployment, 2.2.4
report, 2.1.5
sessionful
exercise, 3.3.3
sessionless
exercise, 3.3.4
source code
demo, 3.2.2
REAPI demo, 3.2.2
stateful applications, 1.6
stateless applications, 1.6
support, for rules, A.1

T

transactional format, A.2
Transactional Naive Bayes, A.2

V

visitor to customer
exercise, 3.3.5