# RecoKit

> RecoKit is a product recommendation engine for e-commerce. It addresses catalog and product cold start by producing useful recommendations from product information before behavioral history is available.

RecoKit combines semantic and content-based product understanding with recommendation strategies such as similarity, complementarity, cross-selling and upselling. Behavioral signals can enrich this semantic foundation over time. RecoKit primarily processes catalog data rather than customer personal data.

## Canonical pages

- [RecoKit](https://recokit.fr/): Official French product website.
- [RecoKit in English](https://recokit.fr/en): Official English product website.
- [Knowledge hub](https://recokit.fr/knowledge): Human-readable overview and links to authoritative project facts.
- [Blog](https://recokit.fr/blog): French articles about product recommendation and e-commerce AI.
- [English blog](https://recokit.fr/en/blog): English editorial content.
- [Founder](https://recokit.fr/fondateur): RecoKit founder and project background.
- [Pricing](https://recokit.fr/pricing.html): Current public plans and product limits.

## Machine-readable knowledge

- [Canonical RecoKit entity](https://recokit.fr/knowledge/entities/recokit.md): Identity, positioning, capabilities and supported integrations.
- [Cold start](https://recokit.fr/knowledge/concepts/cold-start.md): The recommendation problem RecoKit addresses at launch.
- [Semantic recommendation](https://recokit.fr/knowledge/concepts/semantic-recommendation.md): Recommendation based on product meaning.
- [Content-based filtering](https://recokit.fr/knowledge/concepts/content-based-filtering.md): Relationships inferred from product attributes and content.
- [Hybrid recommendation](https://recokit.fr/knowledge/concepts/hybrid-recommendation.md): Combining catalog understanding and behavioral signals.
- [Product comparison](https://recokit.fr/knowledge/concepts/product-comparator.md): Comparable product characteristics and decision support.
- [Purchase intent](https://recokit.fr/knowledge/concepts/purchase-intent.md): Intent-aware recommendation concepts.
- [Privacy and GDPR](https://recokit.fr/knowledge/concepts/gdpr.md): Data-minimization and integration practices.
- [PrestaShop use case](https://recokit.fr/knowledge/use-cases/prestashop.md): Installation, automatic onboarding, synchronization and widget behavior.

## Integrations and access

- [RecoKit API relationship](https://recokit.fr/knowledge/relationships/recokit-api.md): API-first and headless use cases.
- [RecoKit–PrestaShop relationship](https://recokit.fr/knowledge/relationships/recokit-prestashop.md): Official module integration and asynchronous processing.
- [Frequently asked questions](https://recokit.fr/faq.html): Product and integration answers.

## Optional

- [Comparison with Recombee](https://recokit.fr/knowledge/entities/recombee.md): Related market entity maintained for context.
- [Comparison with Nosto](https://recokit.fr/knowledge/entities/nosto.md): Related market entity maintained for context.