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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Building Recommender Systems Using Large Language Models

Building Recommender Systems Using Large Language Models

Wang

Paperback

General ComputersProbability & Statistics

Currently unavailable to order

ISBN10: 3032011515
ISBN13: 9783032011510
Publisher: Springer
Published: Oct 22 2025
Pages: 213
Weight: 0.75
Height: 0.60 Width: 5.90 Depth: 8.90
Language: English
This book offers a comprehensive exploration of the intersection between Large Language Models (LLMs) and recommendation systems, serving as a practical guide for practitioners, researchers, and students in AI, natural language processing, and data science. It addresses the limitations of traditional recommendation techniques--such as their inability to fully understand nuanced language, reason dynamically over user preferences, or leverage multi-modal data--and demonstrates how LLMs can revolutionize personalized recommendations. By consolidating fragmented research and providing structured, hands-on tutorials, the book bridges the gap between cutting-edge research and real-world application, empowering readers to design and deploy next-generation recommender systems.

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