Blueshift's Classic Recommendations Editor (Legacy Editor) is being sunset. If you are currently using recommendation schemes created with the Classic editor, you will still be able to use them in your templates until February 13, 2024. However, you will no longer be able to clone them to create new recommendation schemes. We recommend that you migrate to the Photon Editor in Blueshift's expanded Recommendations Studio.
The Classic editor editor has the following options: Events, Related Items, Predictive Content, and Item attributes. To help you migrate to Blueshift's new Recommendations studio, we have provided a brief mapping of the options from the Classic editor to the Recipes in the new studio.
Events based recommendations
| Classic Editor | Matching Recipe in Photon Editor |
| Events | Recent Activity |
Example 1 - Wish list items
This recommendation scheme includes items added to a wish list while excluding items that were purchased within the last 7 days.
Classic Editor
Photon Editor
- Use the Recent Activity recipe to include recent items.
- In the Inputs section, for Recent Activity, include items from the add_to_wishlist event.
- Under Item Exclusions, exclude items purchased in the last 7 days.
Related Items based recommendations
| Classic Editor | Matching Recipe in Photon Editor |
| Related Items to Events | Next Best Items |
| Related Items to Events | Similar Items to Recent Activity |
| Related Items to Previous Block (number) | Similar Items to Previous Block (name) |
Example 2 - Related items for an event
This recommendation scheme includes items similar to the items added to a wish list.
Classic Editor
Photon Editor
- Use the Similar items to recent activity recipe.
- In the Inputs section, for Users Recent Activity, select add_to_wishlist as the Event Name.
Example 3 - Related items to the previous block
This recommendation scheme includes items similar to the items in the previous block in the recommendation scheme.
Classic Editor
Photon Editor
Use the Similar items to previous block recipe.
Predictive Content based recommendations
| Classic Editor | Matching Recipe in Photon Editor |
| Top affinity categories | Category affinity feed |
| Top affinity tags | Tag affinity items |
| Top viewed brands | Brand affinity items |
| External feeds | User feeds |
| User ranking based selection | User recommended items |
Example 4 - Top affinity categories
This recommendation scheme includes items from the top affinity categories.
Classic Editor
Photon Editor
- Use the Category affinity items recipe.
- In the Inputs section, for Category Ranking, select Top converting items.
Item attributes based recommendations
| Classic Editor | Matching Recipe in Photon Editor |
| Site-wide | Site-wide Popular, Trending or Recent Items |
| Item id | Curated items |
| Brand | Brand Popular, Trending or Recent Items |
| Category | Category Popular, Trending or Recent Items |
| Tags | Tag Popular, Trending or Recent Items |
| Author | Author Popular, Trending or Recent Items |
| City / State | City / State Popular, Trending or Recent Items |
Example 5 - Site wide items
This recommendation scheme includes the most recent items across the site.
Classic Editor
Photon Editor
- Use the Site-wide Popular, Trending or Recent Items recipe.
- In the Inputs section, under Site Ranking, select Most recent items.
Example 6 - Specific items by item ID
This recommendation scheme includes specific items from the catalog.
Classic Editor
Photon Editor
- Use the Curated Items recipe.
- In the Inputs section, add the items.
Example 7 - Items from a category
This recommendation scheme includes items from a specific category. Similarly, you can recommend items by a particular author, brand, or seller.
Classic Editor
Photon Editor
- Use the Category Popular, Trending, Recent Items recipe.
- In the Inputs section, select the category.
You can also use the following similar recipes:
- Author Popular, Trending or Recent Items
- Brand Popular, Trending, Recent Items
- Seller Popular, Trending, Recent Items
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