> For the complete documentation index, see [llms.txt](https://all-access-anonymous.gitbook.io/decentralised-intelligent-network-dine/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://all-access-anonymous.gitbook.io/decentralised-intelligent-network-dine/technical-architecture/machine-learning-models.md).

# Machine Learning Models

**i. Collaborative Filtering:** Identify similarities between users based on shared preferences.

**ii. Content-Based Filtering:** Match users with items similar to their past interactions.

**iii.Hybrid Approach:** Combine collaborative and content-based filtering for enhanced accuracy.

**iv. Predictive Analytics:** Forecast future interests using historical data and external signals (e.g., trending topics).

**v. Reinforcement Learning:** Continuously optimize recommendations based on user feedback and engagement metrics.