Module recommend 

Recommendation systems.

This module provides collaborative filtering and content-based recommendation algorithms optimized for production cold-start scenarios.

Algorithms

• Content-Based: Item-to-item similarity using TF-IDF + HNSW

Quick Start

use aprender::recommend::ContentRecommender;

let mut recommender = ContentRecommender::new(16, 200, 0.95);

// Add items with text content
recommender.add_item("doc1", "machine learning algorithms");
recommender.add_item("doc2", "deep learning neural networks");
recommender.add_item("doc3", "machine learning applications");

// Get recommendations for similar items
let recommendations = recommender.recommend("doc1", 2).expect("item exists");

assert_eq!(recommendations.len(), 2);
// doc3 should be most similar (shares "machine learning")

Re-exports

pub use content_based::ContentRecommender;

Modules

content_based

Content-based recommendation using TF-IDF + HNSW.