Recommendation offers a wide range of algorithms and filters suitable for various use cases.
Algorithm
Algorithms determine which items to recommend (such as the most popular items, items the user viewed in the past, and so on).
Filters
Additional filters you can apply based on product properties:
Only include: Recommend only products with a specific property (for example, items that cost more than $30).
Exclude: Never recommend products with a specific property (For example, never recommend items that are on sale).
Pin: Recommend only a specific product (For example, brand is Zara).
Recommendations Algorithm
Title | Description | Example | Algorithm Name | Best Page Placement | Fallback Behavior |
Best Sellers (Purchase) | Discover the items people consistently engage with the most. | “Our most-loved picks — people can’t get enough of these.” | Best-selling | Homepage | Fills with Most Popular and Newest |
Top Picks in Your Favorite Categories | Personalized suggestions from the categories you visit most. | “Since you explore this category often, here are recommended picks.” | Category Affinity | Homepage, Category Pages, Screener | Fills with Viewed with Recently Viewed, Most Popular and Newest |
Recommended for You (Based on Similar Users) | Suggestions informed by people with similar behavior or interests. | “People with similar interests also spent time with these options.” | Collaborative Filtering | Homepage, Product Detail Page, Watchlist Page | Fills with Most Popular and Newest |
Visually Similar Items | Items with similar appearance or visual attributes. | “Here are visually similar options you may find interesting.” | Image Similarity | Product Detail Page | Fills with Most Popular and Newest |
Popular Right Now | Items currently drawing the most overall interest. | “Popular right now — widely explored at the moment.” | Most Popular | Homepage, Category Page, Trending Page | Fills with Newest |
New Arrivals (Newest Products) | Fresh additions just introduced — be the first to explore. | “Just added — discover what’s new.” | Newest | Homepage | None |
Trending Now (Hot Products) | Explore what’s gaining rapid interest right now. | “This week’s trending favorites — getting a lot of attention.” |
| Homepage | None |
Top Sellers in This Category | See the top-performing items within this category. | “Top picks in this category people return to often.” |
| Category Page | None |
Trending in This Category | Items in this category gaining attention quickly. | “Trending now in this category — see what’s catching interest.” |
| Category Page | None |
New in This Category | Newly added items specific to this category. | “New additions in this category — explore what’s fresh.” |
| Category Page | None |
Bundling (Frequently Bought Together) | Common combinations people interact with in sequence or together. | “Complete your experience with these complementary items.” |
| Product Page, Cart Page | None |
Results for Your Search (Keyword-Based) | Items that closely match what you’re searching for. | “Top results based on your search terms.” |
| Search Page, Homepage | None |
Featured Picks (Specific Products) | Curated selections highlighted for their relevance or quality. | “Our curated picks — specially selected for you.” |
| Homepage, Sale pages | None |
You Might Prefer These (Visitor Alternatives) | Alternative options related to what you just viewed. | “Here are some options similar to what you’re viewing.” |
| Product Page | None |
Recommended Based on Your Orders | Suggestions inspired by items you’ve interacted with before. | “More items you might appreciate based on past activity.” |
| Homepage, Product Page | None |
Your Purchase History | A consolidated view of your previously selected items. | “Your previous selections, all in one place.” |
| Account Page | None |
What People Are Viewing Lifetime | The all-time most-engaged-with items across the platform. | “Long-time favorites people frequently return to.” |
| Homepage | None |
Similar Articles You Might Like (Page Alternatives) | Additional content closely related to what you're reading. | “Looking for more? Explore related articles.” |
| Blog / Content Pages | None |
Guides Related to This Product | Helpful guides or resources related to this item. | “Useful guides that relate to this item.” |
| Product Page, Blog | None |
Articles Related to This Category | Content aligned with the category you're browsing. | “Explore more content connected to this category.” |
| Category Page, Blog | None |
Products Featured in This Article | Items referenced or highlighted within this content. | “Items featured in this piece.” |
| Blog / Content Pages | None |
Categories Relevant to This Page | Explore categories that relate to what you're viewing. | “Explore related categories.” |
| Blog / Content Pages | None |
People Also Viewed (Lifetime) | Longer-term viewing patterns for commonly linked items. | “People often move from this item to these long-standing favorites.” |
|
| None |
Because You Follow These Categories | Personalized recommendations based on your ongoing category engagement. | “Based on what you've been exploring, here are tailored suggestions.” |
| Homepage, Watchlist Page, Screener | None |
Similar to What You Bought Before | New options aligned with your previous interests. | “New items that fit well with your past favorites.” | Product Affinity | Homepage, Product Page | Fills with Viewed with Recently Viewed, Most Popular and Newest |
Similar to This Item | Items with similar features, details, or characteristics. | “Options with similar attributes you might like.” | Product Similarity | Product Detail Page, Screener, Watchlist Page | Fills with Most Popular and Newest |
Co-Purchase (Often Purchased With) | Items frequently explored right after this one. | “People often pair this with the following options.” | Purchased Together | Product Page, Cart Page | Fills with Viewed Together, Most Popular and Newest |
Recommended Based on Your Orders (Session) | Suggestions based on what you explored during this session. | “Suggestions based on what you viewed today.” | Purchased With Recently Purchased |
| Fills with Purchased Together, Most Popular and Newest |
Just Purchased (Recently Purchased) | Items that were recently interacted with by others. | “Recently viewed or selected — happening now.” | Recently Purchased | Homepage, Product Page | None |
Your Recently Viewed Items (Click History) | Quickly return to items you looked at earlier. | “Here are the items you recently viewed.” | Recently Viewed | Product Page, Homepage | None |
You May Also Like (Best Alternatives) | Similar options thoughtfully matched to what you’re viewing. | “You may also like these similar options.” | Similarity | Product Page | Fills with Most Popular and Newest |
Recommended For You (Visitor Recommendations) | Personalized suggestions based on your recent activity. | “Recommended for you based on what you’ve been exploring.” | User Affinity | Homepage, Product Page | Fills with Most Popular and Newest |
What People Are Viewing Right Now | Live insights into what’s actively being explored at this moment. | “Popular right now — see what people are exploring today.” | Viewed Together | Homepage | Fills with Most Popular and Newest |
People Also Viewed | Items frequently viewed next by others. | “People who viewed this also explored these options.” | Viewed With Recently Viewed | Stock Detail Page (PDP), Homepage | Fills with Viewed Together, Most Popular and Newest |
Items in your cart | Items in your cart now | "Products you have added to cart and have not removed, not purchased." | Cart Items | Emails, Cart page | None |
Fallback logic for product recommendations
When the algorithm returns fewer products than required, a fallback mechanism ensures a seamless user experience by filling the gaps with alternative recommendations.
For example, User Affinity for users with no past behavior, or Viewed Together for items that were never viewed with other items in the same session. For these cases, this is the fallback logic.
Algorithm | Fallback | Fallback |
Category Affinity → | Viewed with Recently Viewed → | Most popular |
Product Affinity → | Viewed with Recently Viewed → | Most popular |
Keyword Similarity → | Viewed with Recently Viewed → | Most popular |
Purchased Together → | Viewed Together → | Most popular |
Viewed Together → | Most popular |
|
Viewed with Recently Viewed → | Viewed Together → | Most popular |
Purchased with Recently Purchased → | Purchased Together → | Most popular |
The following algorithms have no fallback: Recently Viewed and Recently Purchased
Recommendation Filters
When setting your recommendation strategy, you can add dynamic filtering to customize the algorithm. These filters are based on inclusion/exclusion/pin rules in addition to the algorithm chosen.
Name | Description |
Include | Only products that meet predefined conditions based on product attributes will be included in the product feed |
Exclude | Only products that do not meet predefined conditions based on their attributes will be excluded from the product feed. |
Pin | Specific products are pinned to the top based on predefined conditions related to their attributes. |
Recommendation using an API Call
You can use an API to retrieve product recommendations from Intempt and add them to your system. This allows you to display recommended products in your application, website, or any platform where you want to show personalized suggestions.
Response Format
The API returns the recommended products in JSON format.
Embed Code (Snippet)
Copy and edit the API snippet to customize the output as needed.
Adding Fields
The fields feature allows you to define which product attributes to display.
Use the "Add variable" button to include fields or remove them using the (X) icon.
This ensures product cards display only the most relevant information.
Parameters:
id: The feed ID used for recommendations.
quantity: The number of recommended items to return (default is 5).
fields: The product attributes to include in the response (default: title, image URL, and price).
Note: The product ID is required for recommendation cases, including:
Viewed together
Purchased together
Image similarity
Product similarity
Similarity
Collaborative filtering
In Shopify, Magento, the product ID is added automatically.
In IOS SDK, Android SDK, and Node JS SDK, users must manually add the product ID.