What 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?

Question

BlackTom AI · Accepted Answer

The question asks about a data mining algorithm that studies a customer’s purchases and website actions to suggest complementary products.
Option 1: collaborative filtering. This technique often uses user-item interactions to predict preferences, but it is more commonly associated with recommending items based on similar users or items, rather than explicitly analyzing a single customer’s purchases and actions to propose complements within the same session. It is related but not the most direct description here.
Option 2: estimation analysis. This term is vague in this context and generally refers to statistical estimation tasks rather than a specific mechanism for recommending complementary products based on observed behaviors.
Option 3: recommendation engine. A recommendation engine is precisely the system that analyzes user behavior, purchases, and site interactions to generate suggestions for products that complement or enhance the user’s current interests, often using data mining techniques to produce personalized recommendations.
Option 4: affinity grouping analysis. This phrasing resembles market-basket or association rule mining concepts (like market basket analysis), which identifies items that frequently occur together, but it’s not typically described as a full recommendation engine that uses customer actions to propose complementary products.
In summary, the description points most directly to a mechanism designed to produce personalized product suggestions based on a user’s observed behavior and purchases, which aligns with the notion of a recommendation engine rather than the other labeled techniques, which either describe broader collaboration-based approaches, vague estimation, or a more general association concept without the explicit recommendation component.

What 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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