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______ is a data mining algorithm that analyzes a customer's purchases and actions on a website and then uses the data to recommend complementary products.

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Recommendation 
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______ is a data mining algorithm that analyzes a customer's purchases and actions on a website and then uses the data to recommend complementary products.

BlackTom AI · Accepted Answer

The question asks to identify which term completes the sentence about a data mining algorithm that analyzes customer purchases and online actions to recommend complementary products.
Option 1: profiling. This term refers to building a profile of a person’s characteristics or behavior, but it is not the algorithm that generates product recommendations itself. It may be a related concept used for segmentation, but it isn’t the specific recommendation engine.
Option 2: operational. This word describes something related to operations or day-to-day activities, not a specialized data mining algorithm for recommendations. It doesn’t fit the notion of a recommender system.
Option 3: engine. This choice aptly describes a recommendation engine, which is the software component that analyzes data and outputs product suggestions. It directly matches the idea of an algorithm-driven system that recommends complementary items.
Option 4: replication. Replication means copying data or systems, which has nothing to do with the analytical process of suggesting products based on user behavior. It mischaracterizes the function described in the prompt.
In summary, the term that best fits the description of a data mining algorithm for recommending complementary products is engine, as it denotes the component that drives the recommendation process based on user data.

Recommendation Blank ______ is a data mining algorithm that analyzes a customer's purchases and actions on a website and then uses the data to recommend complementary products.

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