> ## Documentation Index
> Fetch the complete documentation index at: https://docs.scentxp.com/llms.txt
> Use this file to discover all available pages before exploring further.

# WikiParfum

## The olfactive intelligence platform

WikiParfum is the knowledge engine behind all ScentXP technologies. It is a curated database of over 31,000 perfumes and 1,500 ingredients, structured and classified by olfactive experts to provide the most complete and impartial fragrance intelligence available.

Every ScentXP product — Fragrance Library, ScentBot, Fragrance Profiler, EAN Nose, AirParfum, and Scent Intelligence — draws its data, classification, and recommendation logic from WikiParfum.

## What WikiParfum contains

* **31,000+ perfumes** — each classified by olfactive family, subfamily, ingredients, intensity, gender, concentration, and more
* **1,500+ ingredients** — mapped with images, descriptions, and family associations
* **1,400+ brands** — from niche houses to global prestige and mass-market brands
* **Perfumer profiles** — linking creators to their works
* **Visual assets** — bottle images, ingredient imagery, and Quadrification visuals in multiple sizes

## Fragrances of the World

WikiParfum's classification is built in collaboration with **Fragrances of the World** (Michael Edwards), the global reference for olfactive taxonomy. This partnership guarantees rigor and impartiality — every perfume is classified using the same expert methodology used by the fragrance industry worldwide.

### Olfactive families

All perfumes are classified into primary families and subfamilies:

| Family                | Character                     |
| --------------------- | ----------------------------- |
| **Citrus**            | Fresh, zesty, energetic       |
| **Floral**            | Romantic, elegant, diverse    |
| **Woody**             | Warm, earthy, grounding       |
| **Ambery (Oriental)** | Rich, sensual, enveloping     |
| **Aromatic Fougère**  | Herbal, aromatic, classic     |
| **Chypre**            | Sophisticated, mossy, complex |
| **Leather**           | Bold, smoky, distinctive      |

Each perfume receives a primary family, and optionally a secondary family, with intensity values — capturing the olfactive structure of the composition.

## Algorithms and recommendations

WikiParfum doesn't rely on purchase history or popularity. Its recommendation engine is built on **olfactive affinity**: ingredient composition, family relationships, and structural similarity between fragrances.

This means recommendations genuinely reflect how perfumes smell — not just what other people bought. The algorithm analyzes distances between olfactive families and ingredient profiles to surface suggestions that match the user's actual taste.

## The Quadrification

The **Quadrification** is a proprietary visual representation of each perfume's olfactive profile. It translates the ingredient composition into an image that customers can understand at a glance — making the invisible (scent) visible.

Quadrification visuals are available via the API in multiple sizes and are used across Fragrance Library, ScentBot, and product pages.

## Expert reviewed perfumes

A subset of perfumes in the database are marked as **expert reviewed** — personally evaluated by ScentXP's olfactive experts. These are typically iconic and best-selling fragrances that receive the highest level of classification detail.

## Multi-language support

All WikiParfum content — ingredient names, descriptions, family names, perfumer bios — is available in 25+ languages. This enables the same experience across different markets and storefronts without managing translations.

## How WikiParfum powers ScentXP

| Product                | What it uses from WikiParfum                                                           |
| ---------------------- | -------------------------------------------------------------------------------------- |
| **Fragrance Library**  | Olfactive profiles, ingredients, perfumer data, imagery, Quadrification                |
| **ScentBot**           | Full database for conversational recommendations, ingredient knowledge, family context |
| **Fragrance Profiler** | Preference questionnaire logic, profile matching, recommendation algorithms            |
| **EAN Nose**           | EAN-to-perfume mapping, product data, recommendations from in-store scans              |
| **AirParfum**          | Olfactive family navigation, recommendation engine, user profiling                     |
| **Scent Intelligence** | Preference data, taste profiling, olfactive segmentation for CRM                       |