Campaign | partitions | partition[n] | Interact | learning

A percentage indicating how confident you want the learning utility to be before switching from exploration to exploitation. A value of 0 effectively shuts off exploration.

This property is applicable if the Interact > offerserving > optimizationType property for Interact runtime is set to BuiltInLearning only.

95

An integer between 0 and 95 divisible by 5 or 99.

If set to No, Interact does not validate the learning module when you deploy. If set to yes, Interact validates the learning module when you deploy.

No

Yes | No

The maximum number of learning attributes the Interact learning utility monitors.

This property is applicable if the Interact > offerserving > optimizationType property for Interact runtime is set to BuiltInLearning only.

10

Any integer.

The maximum number of values the Interact learning module tracks for each learning attribute.

This property is applicable if the Interact > offerserving > optimizationType property for Interact runtime is set to BuiltInLearning only.

5

The default name for the attribute value used to represent all attribute values beyond the maxAttributeValues.

This property is applicable if the Interact > offerserving > optimizationType property for Interact runtime is set to BuiltInLearning only.

Other

A string or number.

If maxAttributeValues is set to 3 and otherAttributeValue is set to other, the learning module tracks the first three values. All of the other values are assigned to the other category. For example, if you are tracking the visitor attribute hair color, and the first five visitors have the hair colors black, brown, blond, red, and gray, the learning utility tracks the hair colors black, brown, and blond. The colors red and gray are grouped under the otherAttributeValue, other.

The percent of the time the learning module presents a random offer. For example, setting percentRandomSelection to 5 means that 5% of the time (5 out of every 100 recommendations), the learning module presents a random offer, independent of the score. Enabling percentRandomSelection overrides the offerTieBreakMethod configuration property. When percentRandomSelection is enabled, this property is set regardless if learning is on or off or if built-in or external learning is used.

5

Any integer from 0 (which disables the percentRandomSelection feature) up to 100.

The decimal representation of a percentage of the set of data defined by the recencyWeightingPeriod. For example, the default value of .15 means that 15% of the data used by the learning utility comes from the recencyWeightingPeriod.

This property is applicable if the Interact > offerserving > optimizationType property for Interact runtime is set to BuiltInLearning only.

0.15

A decimal value less than 1.

The size in hours of data granted the recencyWeightingFactor percentage of weight by the learning module. For example, the default value of 120 means that the recencyWeightingFactor of the data used by the learning module comes from the last 120 hours.

This property is applicable only if optimizationType is set to builtInLearning.

120

The minimum number of times an offer must be presented before its data is used in calculations and the learning module enters the exploration mode.

0

An integer greater than or equal to zero.

If set to Yes, the Interact learning module algorithmically determines when a learning attribute (standard or dynamic) is not predictive. If a learning attribute is not predictive, the learning module will not consider that attribute when determining the weight for an offer. This continues until the learning module aggregates learning data.

If set to No, the learning module always uses all learning attributes. By not pruning non-predictive attributes, the learning module may not be as accurate as it could be.

Yes

Yes | No