Different recommendation types behave differently depending on ranking, stock, personalization and merchandising rules. This article explains how recommendation types interact with Elevate’s ranking and recommendation logic.
Use the table below to understand the behaviour of each recommendation type before adding it to a Recommendation List. Each column describes a specific characteristic that may affect how results appear on your site.
| Recommendation type | Includes out-of-stock products | Affected by missing image | Affected by Exposure strategy | Affected by Boost/Bury | Fill up slots | Soft deduplication |
|---|---|---|---|---|---|---|
| Top products | Yes * | Yes * | Yes | Yes | Yes | Yes |
| Personal | No | Yes | Yes | Partially | Yes | Yes |
| Alternatives | No | Yes | Yes | Partially | No | Yes |
| Upsell | No | Yes | No | Partially | Yes ** | Yes |
| Cart | No | Yes | Yes | Partially | Yes | Yes |
| Style with | No | Yes | No | No | No | No |
| Favorites | No | Yes | Yes | Partially | Yes | Yes |
| Newest products | Yes * | Yes * | No | No | Yes | No |
| More from series | Yes * | Yes * | Yes | Partially | No | Yes |
| Recently viewed | Yes | No | No | No | No | No |
| Add-to-cart recommendations | No | Yes | No | Partially | No | Yes |
* Out-of-stock and missing-image products are included but demoted according to the setting Out of Stock / Bury Missing Image in the Elevate application.
** Upsell can return an empty result if no in-stock products exist within the same gender and age groups, but this is very rare.
Partially (Boost/Bury) means the algorithm is influenced, but other strong signals (e.g. personal affinity) may limit the visible effect. Both Boost/Bury and Exposure strategy affect the same algorithms, as both work by adjusting a product's entity score.
Fill up slots means the recommendation practically always has something to show (within any applied filter).
Soft deduplication means that Elevate tries to reduce repeated products across recommendation lists when possible.
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