Which algorithms are available for use in Adobe Target Recommendations? (Select two)

Question

Options

• AMost Viewed
• BRecently Purchased
• CManual Recommendations
• DAutomated Personalization

• A
  84% (27)
• C
  6% (2)
• D
  9% (3)

Explanation

Most Viewed (A) and Recently Purchased (B) are both built-in recommendation algorithms in Adobe Target Recommendations, falling under the popularity-based and behavior-based criteria categories respectively. These algorithms analyze visitor data to surface content or products based on aggregate site behavior, making them core options when configuring a Recommendations activity.

Why the distractors are wrong:

• C (Manual Recommendations) is not a named algorithm in Target Recommendations - while you can create custom criteria, there is no "Manual Recommendations" algorithm type in the product.
• D (Automated Personalization) is a separate activity type in Adobe Target that uses machine learning to personalize offers, not a Recommendations algorithm - confusing these two features is a common trap.

Memory tip: Think of Recommendations algorithms as answering "What should I show next?" using visitor patterns (Most Viewed, Recently Purchased, Top Sellers, etc.). Automated Personalization, by contrast, answers "Which offer variant best fits this visitor?" - a different product feature entirely. If the algorithm describes a popularity or behavior trend, it belongs to Recommendations.

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