Название: Information Access in the Era of Generative AI
Автор: Ryen W. White, Chirag Shah
Издательство: Springer
Год: 2025
Страниц: 250
Язык: английский
Формат: pdf (true), epub
Размер: 17.3 MB

Generative Artificial Intelligence (GenAI) has emerged as a groundbreaking technology that promises to revolutionize many industries as well as people’s personal and professional lives. This book discusses GenAI and its role in information access - often referred to as Generative Information Retrieval (GenIR) - or more broadly, information interaction.

The role of GenAI in information access is complex and dynamic, with many dimensions. To address this, following a brief introduction to GenAI and GenIR, the remainder of the book provides eight chapters, each targeting a different dimension or sub-topic. These cover foundations of GenIR, interactions with GenIR systems, adapting them to users, tasks, and scenarios, improving them based on user feedback, GenIR evaluation, the sociotechnical implications of GenAI for information access, recommendations within GenIR, and the future of information access with GenIR.

The role of GenAI in information access is complex and dynamic, with many dimensions. To address this, following our brief introduction to GenAI and GenIR (Chap. 1), we divide the remainder of the book into eight chapters, each targeting a different dimension or sub-topic. The chapters are described in more detail below. Each chapter is written by subject matter experts in the field and dives deep into the dimension at hand, presenting a general overview, a summary of the latest advances in that area, and a path forward.

Chapter 2: Foundations of Generative Information Retrieval—This chapter delves into the core principles of GenIR, exploring the synthesis of results, validation and attribution processes, the phenomenon of hallucination in Large Language Models (LLMs), and the expansion beyond text to include multimedia and multimodal interactions with LLMs, Retrieval-Augmented Generation (RAG), and corpus understanding.
...
Chapter 8: Recommendation in the Era of Generative Artificial Intelligence — explore the realm of recommendations within GenIR. They delve into recommender systems, personalized recommendations, explainable recommendations, and the integration of LLMs with recommendation systems.

Chapter 9: Designing for the Future of Information Access with Generative Information Retrieval—envision the future of information access through the lens of GenIR. They discuss new experiences such as proactive information access, emerging business models, applications beyond traditional information retrieval, the ubiquity of GenIR, and its application in specialized domains such as healthcare.

The book is targeted at graduate students and researchers interested in issues of information retrieval, access, and interactions, as well as applications of GenAI in various informational contexts. While some of the parts assume prior background in IR or AI, most others do not, making this book suitable for adoption in various classes as a primary source or as a supplementary material.




ОТСУТСТВУЕТ ССЫЛКА/ НЕ РАБОЧАЯ ССЫЛКА ЕСТЬ РЕШЕНИЕ, ПИШИМ СЮДА!