# personalization

> using or adapting technology to accommodate the differences between individuals

**Wikidata**: [Q1000371](https://www.wikidata.org/wiki/Q1000371)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Personalization)  
**Source**: https://4ort.xyz/entity/personalization

## Summary
Personalization is the use or adaptation of technology to accommodate differences between individuals. It is a field of study and marketing strategy that enhances relevance by tailoring experiences, products, or services to individual preferences or needs.

## Key Facts
- Personalization is a subclass of human–computer interaction, customizing, user experience design, and adaptability.
- It is an instance of a field of study, marketing strategy, and digital strategy.
- Aliases include personalisation, customization, and terms in multiple languages (e.g., *personalisering*, *personalisación de contenidos*, *个性化定制*).
- Related to adaptability, modding, and service personalization, with applications in video games (e.g., weapon skins, character skins).
- Connected to concepts like hyper-personalization, filter bubbles, and personalized search.
- Has a Wikidata sitelink count of 23 and is referenced in academic sources (e.g., Microsoft Academic ID 183003079).

## FAQs
### Q: What is personalization in technology?
A: Personalization in technology refers to adapting systems, interfaces, or content to fit individual user preferences, behaviors, or needs, often using data-driven methods.

### Q: How is personalization used in marketing?
A: In marketing, personalization tailors messages, offers, or experiences to individual customers based on their data, increasing engagement and relevance.

### Q: What are examples of personalization in gaming?
A: In video games, personalization includes customizable character skins or weapon skins, often purchasable with in-game or real-world currency.

### Q: What is the difference between personalization and customization?
A: Personalization is typically system-driven (e.g., algorithms adapting content), while customization is user-driven (e.g., manually changing settings or modding).

### Q: What is hyper-personalization?
A: Hyper-personalization is an advanced form of personalization that uses real-time data and AI to deliver highly individualized experiences at scale.

## Why It Matters
Personalization plays a critical role in modern technology and business by addressing human variability—acknowledging that one-size-fits-all solutions are often ineffective. In digital environments, it enhances user experience by making interactions more relevant, efficient, and engaging. For businesses, it drives customer satisfaction, loyalty, and conversion rates by delivering tailored content, recommendations, or services. In fields like education or healthcare, personalization can improve outcomes by adapting to individual learning styles or medical needs. However, it also raises ethical concerns, such as privacy risks (e.g., filter bubbles) and the potential for manipulation. As technology advances, personalization becomes increasingly sophisticated, shaping how we interact with digital systems and consume information.

## Notable For
- Being a core principle in **human–computer interaction (HCI)**, bridging technology and individual user needs.
- Enabling **data-driven marketing strategies** that improve customer engagement and business metrics.
- Influencing **gaming culture** through customizable in-game assets (e.g., skins, mods).
- Raising awareness of **ethical challenges**, such as privacy and algorithmic bias (e.g., filter bubbles).
- Serving as a foundation for **emerging trends** like hyper-personalization and AI-driven adaptive systems.

## Body
### Definition and Scope
Personalization is defined as the use or adaptation of technology to accommodate differences between individuals. It operates at the intersection of **human–computer interaction (HCI)**, **user experience design**, and **adaptability**, focusing on making systems responsive to individual variability.

### Classifications and Relationships
- **Subclass of**: Human–computer interaction, customizing, user experience design, adaptability.
- **Instance of**: Field of study, marketing strategy, digital strategy.
- **Facet of**: Human variability, division of labor, information and communications technology (ICT).
- **Related concepts**:
  - **Modding**: End-user customization of products (e.g., video game modifications).
  - **Service personalization**: Using data to tailor services (e.g., recommendations, dynamic pricing).
  - **Filter bubble**: A phenomenon where algorithms limit exposure to diverse information, creating intellectual isolation.

### Applications
1. **Marketing**: Personalized ads, emails, or product recommendations based on user data.
2. **Gaming**: Customizable avatars, skins, or gameplay settings (e.g., *weapon skin*, *character skin*).
3. **E-commerce**: Tailored shopping experiences, such as Amazon’s recommendation engine.
4. **Education**: Adaptive learning platforms that adjust content based on student performance.
5. **Healthcare**: Personalized treatment plans or wearable devices that monitor individual health metrics.

### Technical and Ethical Considerations
- **Data dependency**: Personalization relies on collecting and analyzing user data, raising privacy concerns.
- **Algorithmic bias**: Poorly designed systems may reinforce stereotypes or limit exposure to diverse viewpoints (e.g., filter bubbles).
- **User control**: Distinguishes between **system-driven personalization** (automatic) and **user-driven customization** (manual).

### Academic and Industry Recognition
- Referenced in academic databases (e.g., Microsoft Academic ID 183003079, STW Thesaurus for Economics ID 29228-4).
- Discussed in platforms like Quora (topic: *Personalization*).
- Linked to industry examples, such as **Ford Individual** (vehicle personalization packs) and **The FrameStore** (custom framing services).

## Schema Markup
```json
{
  "@context": "https://schema.org",
  "@type": "Thing",
  "name": "personalization",
  "description": "using or adapting technology to accommodate the differences between individuals",
  "sameAs": [
    "https://www.wikidata.org/wiki/Q183328",
    "https://en.wikipedia.org/wiki/Personalization"
  ],
  "additionalType": [
    "https://www.wikidata.org/wiki/Q183328",
    "https://www.wikidata.org/wiki/Q193746" // human–computer interaction
  ]
}

## References

1. Freebase Data Dumps. 2013
2. Quora
3. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)