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Data used by Target machine-learning algorithms
Adobe Target automatically collects and uses various data to build its personalization algorithms in Automated Personalization (AP) and Auto-Target (AT) activities. When a visitor enters an Automated Personalization or Auto-Target activity, a snapshot of information is passed to a set of “training records” (the visitor data that the personalization algorithms learn on).
To learn more about the Target personalization algorithms, see Random Forest Algorithm.
Default Target attribute categories
The following table shows the data collected by Automated Personalization and Auto-Target activities by default, without any configuration of Target or other Adobe solutions. The table also includes the naming convention used to indicate these attributes in Personalization Insights Reports. You can augment the input data set at any time. To learn more about how to upload additional data, see Uploading data for the Target personalization algorithms.
Operating System - [Value]
Mobile - [mobile attribute]
Custom Target attribute categories
The following table shows the customer-provided data collected by Automated Personalization and Auto-Target activities. This data is collected only if you provide it. Specific attribute names and sample values are particular to your system configuration.
Blocking features from Target machine-learning algorithms
Features can be blocked from Target machine-learning algorithms, preventing them from being used in any Automated Personalization or Auto-Target model or activity.
For more information, see Models API (Blocklisting) Overview in the Adobe Target Developer Guide.
Device and mobile data device-mobile
For example, MOB_targeting.mobile.osOSx, MOB_targeting.mobile.osWindows, MOB_targeting.mobile.osAndroid, MOB_targeting.mobile.osLinux
Environmental data env
(0 is Sunday)
(0 is midnight)
(Sunday midnight is 0)
German
(0 is night, 6 is morning,
12 is afternoon, 18 is evening)
Eastern Time
GMT
Firefox
Internet Explorer
Safari
Other
Monday-Friday 0900 – 1800 is work time
Monday-Friday after 1800 until 0900 is weekday free time
Windows
Linux
Search Bot
Unknown OS
Mac OS 10
https://www.adobe.com/ecloud.html
Geographical data geo
Rounded to 3 decimal places (approximately 100-meters accuracy)
Rounded to 3 decimal places (approximately 100-meters accuracy)
New South Wales
GEO_Region
T-Mobile
Cable
DSL
Mobile
Wireless
Satellite
nnt.net
Session data session
If this is the first session for the visitor, it results in
LAST_SESSION_START = 0.
Negative values happen when the session start and the last update time are triggered by the same Target call. Negatives values should be considered as 0 (zero).