Content-based Graph Reconstruction for Cold-start Item Recommendation - SIGIR 2024
Explore innovative graph reconstruction techniques for cold-start item recommendations, enhancing content-based approaches in recommender systems.
Building Recommendation Systems with TensorFlow
Learn to create powerful recommendation systems using TensorFlow, covering content-based and collaborative filtering, ranking models, multitask learning, and efficient serving with ScaNN.
Recommender Systems: Metrics, Trends, and Challenges
Explore recommender systems' impact on digital strategies, from basic models to advanced approaches. Learn implementation strategies and address deployment challenges.
Building a MovieLens Recommender System
Explore recommendation systems and build your own using collaborative and content-based filtering techniques in Python with MovieLens dataset.
Vector Search for Content-Based Video Recommendation
Discover how to implement vector search for video recommendations using Qdrant, exploring practical applications, system architecture, and performance optimization techniques for high-scale platforms.
Understanding AI Recommendation Engines - From Collaborative Filtering to Personalization
Discover how recommendation engines use machine learning to power personalized experiences, from collaborative filtering to content-based approaches that shape our online interactions.
Using Text Embedding Algorithms in Recommender Systems
Explore text embedding algorithms' surprising effectiveness in recommendation systems, outperforming state-of-the-art models while offering efficiency for large-scale applications.
Building Decision-Making Assistants: Introduction to Recommendation Systems
Explore recommendation systems from basic classification to advanced Netflix-style matrix factorization, covering content filtering, collaboration models, SVD, and PCA techniques.
Building Recommendation Systems with Vector Search - Women of Search
Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.