Learning to Rank for Information Retrieval
by Tie-Yan Liu
This book explores learning to rank techniques and their role in improving search and retrieval systems through machine learning.
About This Book
Learning to Rank for Information Retrieval presents foundational concepts and techniques for ranking in search systems.
The book covers major approaches including pointwise, pairwise, and listwise methods.
It discusses theoretical frameworks, evaluation metrics, and practical considerations for implementing learning to rank algorithms.
Readers gain insight into how machine learning can improve ranking performance in information retrieval tasks.
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