Welcome to the Constructor Recommendations Guide. This section will introduce you to our Recommendations product and guide you to the necessary resources to begin configuring recommendations on your retail site. This section's primary purpose is to introduce the key concepts and ideas to use our tools effectively.

About Recommendations

Constructor's recommendation service delivers personalized, attractive recommendations in a wide range of contexts. Constructor uses past user search, browse, and purchase behavior to display highly customized recommendations, individualized to each and every user.

• Personalized
  Constructor informs recommendations by everything known about a particular user, not just the products that the average user buys with a particular item.
• Collaborative
  Constructor looks across all customer histories to identify common patterns, assembling a dense graph of connections based on item-item and user-user relationships.
• Conversion-optimized
  Recommendations are constantly validated against observed click and conversion behavior.
• Integrated
  Recommendations use the exact same personalization signals and graph algorithms as our search engine to provide a cohesive experience.
• Product inheritance
  For new or less popular products, Constructor marries behavioral signals with content embeddings by mapping new or less popular products to the most similar products with view and purchase information using titles, categories, descriptions, keywords and other product data.