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Fine-tune results

  • Artikkeli

Intelligent Recommendations provides capabilities that can help deliver high-performing results. Building a recommendations system usually requires in-house expertise, but Intelligent Recommendations offers features that let you get started quickly, and then modify it for your situation.

Flexible filtering

Intelligent Recommendations, as a generic recommendations solution, can be customized by our customers to set filtering logic as needed for their implementation. In most retail solutions, products can be limited by size, style, and color. These limits might not always align with the full selection of products that retailers sell, resulting in wasted filtering opportunities. With Intelligent Recommendations, you can classify filters that work for your content without the constraints of color, market, or style. In addition, you decide what filters are visible to your consumers. This feature enhances relevance for products and creates a better discovery experience for consumers.

For example:

  • Mattress stores can choose to filter by comfort level or mattress feel
  • PC accessories can be filtered by compatibility, as decided by the retailer
  • Clothing can be filtered by season, pattern, or multiple style indicators

Show top candidates for recommendations lists

Sometimes a product is so important that curators want the ability to boost those products to the front of recommendations results. Intelligent Recommendations supplies configurable functionality that allows curators, merchandisers, and editors to reserve top spots for curated picks or most popular items. You can then populate these lists by using the recommendation algorithm of your choice.

See also

Use personalized recommendations lists
Provide contextual recommendations lists
Provide trending recommendations lists