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What are Article-based Recommendations?
The Article Recommender feature can help you promote and recommend your product selection within articles. Many online shoppers love to read and learn articles or reviews about products and services before purchasing them. That’s what makes this feature so important. You can use Luigi’s Box Recommender to recommend articles within products as well.
How can you use Article-based Recommendations?
The Article recommender is designed to automatically extract every important keyword from the articles’ paragraphs and recommend similar items within the same article or articles within product details. Users of this feature can tag the articles by including important keywords, while Luigi’s Box includes all relevant items based on these words.
Article recommender is, therefore, a very important tool for your content. Your content marketing, as well as your sales, can work hand in hand to improve the revenue of your e-shop.
What are the benefits of Article-based Recommendations?
- Easily recommend products in articles and vice versa
- Automatic keyword extraction
- Works hand-in-hand with content marketing
Recommender
Increase average order value with AI-powered product recommendations that tailor suggestions to each customer’s unique shopping preferences.
Recommender Personalization
Increase sales by offering personalized product recommendations that align with each customer's interests, behavior, and shopping history.
AI‑Powered Personalized Product Recommendations
Boost your e-shop's conversion rate and average order value with personalized product recommendations powered by AI.
2.05 Recommendations – Recommendations customization
Discover how to navigate the "Searches Without Results" section of your e-commerce platform's analytics dashboard.
2.01 Recommender – Analysis
Explore the Recommendations section in Luigi's Box, consisting of the Analysis and Improvement sections.
2.07 Recommendations – Recommender Advanced settings
Learn to configure advanced recommender settings in Luigi’s Box, including attribute mapping, rules, and global settings for better results.
Placeholders for Luigi’s Box Recommenders
Luigi's Box Recommender can be placed in the e-shop in two ways. Learn more about both solutions in out video.
2.06 Recommendations – Recommender Back-end integration
Create and edit recommenders directly, choose type and placement, integrate via back-end, use curl to call API after training, and adjust settings as needed.
