Deep Learning for Search and Recommender Systems in Practice

Deep Learning for Search and Recommender Systems in Practice

Explore deep learning techniques for search and recommender systems in this conference talk from KDD 2020. Dive into document retrieval methods, scoring and ranking algorithms, and personalization strategies. Learn about evaluation metrics like NDCG and MAP, and understand different approaches to learning-to-rank, including pointwise, pairwise, and listwise ranking. Discover the DeText framework for deep learning-based ranking and gain insights from LinkedIn experts on implementing these techniques in practice.