Recommender Systems Handbook, 2/e (Hardcover)
暫譯: 推薦系統手冊，第2版 (精裝本)

Ricci, Francesco, Rokach, Lior, Shapira, Bracha

Recommender Systems Handbook, 2/e (Hardcover)

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商品描述

This second edition of a well-received text, with 20 new chapters, presents a coherent and unified repository of recommender systems' major concepts, theories, methodologies, trends, and challenges. A variety of real-world applications and detailed case studies are included. In addition to wholesale revision of the existing chapters, this edition includes new topics including: decision making and recommender systems, reciprocal recommender systems, recommender systems in social networks, mobile recommender systems, explanations for recommender systems, music recommender systems, cross-domain recommendations, privacy in recommender systems, and semantic-based recommender systems. This multi-disciplinary handbook involves world-wide experts from diverse fields such as artificial intelligence, human-computer interaction, information retrieval, data mining, mathematics, statistics, adaptive user interfaces, decision support systems, psychology, marketing, and consumer behavior. Theoreticians and practitioners from these fields will find this reference to be an invaluable source of ideas, methods and techniques for developing more efficient, cost-effective and accurate recommender systems.

商品描述(中文翻譯)

這本廣受好評的教科書的第二版，新增了20個章節，呈現了一個連貫且統一的推薦系統主要概念、理論、方法論、趨勢和挑戰的資料庫。書中包含了各種真實世界的應用和詳細的案例研究。除了對現有章節進行全面修訂外，本版還包括了新主題，包括：決策與推薦系統、互惠推薦系統、社交網絡中的推薦系統、移動推薦系統、推薦系統的解釋、音樂推薦系統、跨領域推薦、推薦系統中的隱私以及基於語義的推薦系統。這本多學科的手冊匯集了來自人工智慧、人機互動、資訊檢索、資料挖掘、數學、統計學、自適應使用者介面、決策支援系統、心理學、市場行銷和消費者行為等多個領域的全球專家。這些領域的理論家和實務工作者將會發現這本參考書是開發更高效、具成本效益和準確的推薦系統的寶貴來源。

作者簡介

Francesco Ricci is a professor of computer science at the Free University of Bozen-Bolzano, Italy. His current research interests include recommender systems, intelligent interfaces, mobile systems, machine learning, case-based reasoning, and the applications of ICT to health and tourism. He has published more than one hundred thirty of academic papers on these topics. He is the editor in chief of the Journal of Information Technology & Tourism and on the editorial board of User Modeling and User Adapted Interaction. Lior Rokach is a data scientist and an associate professor of information systems and software engineering at Ben-Gurion University of the Negev (BGU). Rokach established the machine learning laboratory in BGU which promotes innovative adaptations of machine learning and data mining methods to create the next generation of intelligent systems. Rokach is known for his contributions to the advancement of machine learning, recommender systems and cyber security. Bracha Shapira is an associate professor and the head of the information systems and engineering Department at Ben-Gurion University of the Negev (BGU). She leads large scale research projects at the Telekom Innovation Laboratories at BGU in the area of data analytics, recommender systems and personalization that delivers innovative technologies to address challenges in these fields. Shapira is known for her contribution in integrating social network, context awareness and privacy consideration to recommender systems.

作者簡介(中文翻譯)

Francesco Ricci 是義大利博茲恩-博爾扎諾自由大學的計算機科學教授。他目前的研究興趣包括推薦系統、智能介面、移動系統、機器學習、基於案例的推理，以及資訊通信技術（ICT）在健康和旅遊領域的應用。他在這些主題上發表了超過一百三十篇學術論文。他是《資訊技術與旅遊期刊》（Journal of Information Technology & Tourism）的主編，並且是《用戶建模與用戶適應互動期刊》（User Modeling and User Adapted Interaction）的編輯委員會成員。

Lior Rokach 是一名數據科學家，也是內蓋夫本-古里安大學（Ben-Gurion University of the Negev, BGU）資訊系統與軟體工程的副教授。Rokach 在 BGU 成立了機器學習實驗室，推動機器學習和數據挖掘方法的創新應用，以創造下一代智能系統。Rokach 以其在機器學習、推薦系統和網絡安全方面的貢獻而聞名。

Bracha Shapira 是內蓋夫本-古里安大學（BGU）資訊系統與工程系的副教授及系主任。她在 BGU 的德國電信創新實驗室領導大型研究項目，專注於數據分析、推薦系統和個性化，提供創新技術以應對這些領域的挑戰。Shapira 以其在將社交網絡、情境感知和隱私考量整合到推薦系統中的貢獻而聞名。

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