{"id":15928,"date":"2026-08-10T12:00:40","date_gmt":"2026-08-10T12:00:40","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/springer-building-recommender-systems-using-large-language-models-2025\/"},"modified":"2026-08-10T12:00:40","modified_gmt":"2026-08-10T12:00:40","slug":"springer-building-recommender-systems-using-large-language-models-2025","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/springer-building-recommender-systems-using-large-language-models-2025\/","title":{"rendered":"Springer \u2013 Building Recommender Systems Using Large Language Models 2025"},"content":{"rendered":"
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Description<\/span><\/h2>\n

Building Recommender Systems Using Large Language Models explores the exciting intersection of large language models (LLMs) and recommender systems, serving as a leading resource for researchers and data engineers. Criticizing the traditional limitations of recommender systems, the author shows how language models can revolutionize personalized user experiences by understanding linguistic nuances and dynamic reasoning.<\/span><\/p>\n

The book is structured in a way that starts from the basic concepts of language models and moves towards more complex topics such as conversational agents and multi-faceted systems. Along with theoretical discussions, coding exercises and case studies in areas such as fashion and content creation are presented to bridge the gap between academic research and commercial applications.<\/span><\/p>\n

Book Features<\/span><\/h3>\n