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Building Recommender Systems Using Large Language Models
Publisher title : Building Recommender Systems Using Large Language Models
JIANQIANG (JAY) WANG
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Summary
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.
Structured for progressive learning, the book covers foundational LLM concepts, the evolution from classic to LLM-powered recommendation systems, and advanced topics including end-to-end LLM recommenders, conversational agents, and multi-modal integration. Each chapter blends theoretical insights with practical coding exercises and real-world case studies, such as fashion recommendation and generative content creation. The final chapters discuss emerging challenges, including privacy, fairness, and future trends, offering a forward-looking roadmap for research and application. Readers with a basic understanding of machine learning and NLP will find this resource both accessible and invaluable for building effective, modern recommendation systems enhanced by LLMs.
Details
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Price:
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$81.71
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Category:
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Author:
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JIANQIANG (JAY) WANG
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Title:
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Building Recommender Systems Using Large Language Models
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Release date:
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October 2025
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Editor:
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LIVRES NUMÉRIQUES DIVERS
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Subject:
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NUL DIVERS
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ISBN:
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9783032011527 (3032011523)
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Renaud-Bray Reference:
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4528841
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Item nb:
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4528841
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Digital rights
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Format:
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PDF
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Availability :
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Canada,
other authorized countries.
Building Recommender Systems Using Large Language Models
By
WANG , JIANQIANG (JAY)
ANDORRE
ÉMIRATS ARABES UNIS
ALBANIE
ARMÉNIE
ANTARCTIQUE
ARGENTINE
SAMOA AMÉRICAINES
AUTRICHE
AUSTRALIE
AZERBAÏDJAN
BOSNIE-HERZÉGOVINE
BARBADE
BELGIQUE
BURKINA FASO
BULGARIE
BAHREÏN
BURUNDI
BÉNIN
BERMUDES
BRUNÉI DARUSSALAM
BOLIVIE
BRÉSIL
BAHAMAS
BOUVET, ÎLE
BELIZE
Canada
CONGO, LA RÉPUBLIQUE DÉMOCRATIQUE DU
CONGO
SUISSE
CÔTE D'IVOIRE
COOK, ÎLES
CHILI
CAMEROUN
CHINE
COLOMBIE
COSTA RICA
CUBA
CAP-VERT
CHRISTMAS, ÎLE
CHYPRE
TCHÈQUE, RÉPUBLIQUE
ALLEMAGNE
DJIBOUTI
DANEMARK
DOMINIQUE
DOMINICAINE, RÉPUBLIQUE
ALGÉRIE
ÉQUATEUR
ESTONIE
ÉGYPTE
ESPAGNE
FINLANDE
FALKLAND, ÎLES (MALVINAS)
FÉROÉ, ÎLES
FRANCE
GABON
GRENADE
GÉORGIE
GUYANE FRANÇAISE
GIBRALTAR
GROENLAND
GUINÉE
GUADELOUPE
GUINÉE ÉQUATORIALE
GRÈCE
GUATEMALA
GUINÉE-BISSAU
GUYANA
HONG-KONG
HEARD, ÎLE ET MCDONALD, ÎLES
HONDURAS
CROATIE
HAÏTI
HONGRIE
INDONÉSIE
IRLANDE
ISRAËL
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Digital Rights Management :
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Adobe DRM
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Numeric warehouse :
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NUMILOG
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Number of authorized devices:
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3
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Number of copy-and-pastes:
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0
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Print:
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0
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Building Recommender Systems Using Large Language Models
,
WANG , JIANQIANG (JAY)
©
LIVRES NUMÉRIQUES DIVERS
2025
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