Deep Learning for Matching in Search and Recommendation (Foundations and Trends(r) in Information Retrieval)

Price: $99.00 – $90.81
(as of Dec 18,2024 02:21:16 UTC – Details)

Publisher ‏ : ‎ Now Publishers (July 14, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 200 pages
ISBN-10 ‏ : ‎ 1680837060
ISBN-13 ‏ : ‎ 978-1680837063
Item Weight ‏ : ‎ 11.2 ounces
Dimensions ‏ : ‎ 6.14 x 0.43 x 9.21 inches

Deep Learning for Matching in Search and Recommendation

In the world of information retrieval, the ability to accurately match user queries with relevant content is crucial for providing a seamless and personalized user experience. Traditional methods of matching have often relied on hand-crafted features and rules, but deep learning approaches have shown great promise in improving the accuracy and efficiency of matching algorithms.

“Deep Learning for Matching in Search and Recommendation” is a comprehensive guide that explores the foundations and trends of using deep learning techniques for improving matching in search and recommendation systems. This book delves into the various deep learning models and architectures that have been successfully applied to matching tasks, such as neural networks, convolutional neural networks, and recurrent neural networks.

The authors provide a detailed overview of the theoretical underpinnings of deep learning for matching, as well as practical guidance on how to implement and optimize deep learning models for search and recommendation applications. They also discuss the challenges and limitations of using deep learning for matching, and offer insights into future research directions in this exciting field.

Whether you are a researcher, practitioner, or student interested in the intersection of deep learning and information retrieval, “Deep Learning for Matching in Search and Recommendation” is a must-read resource that will deepen your understanding of the latest advancements in this rapidly evolving field.
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