Yanyan Lan - Böcker

The four-volume set LNCS 16483-16486 constitutes the refereed conference proceedings of the 48th European Conference on Information Retrieval, ECIR 2026, held in Delft, The Netherlands, during March 29–April 2, 2026.The 46 full papers and 37 short papers presented together with 10 findings papers, 9 reproducibility papers, 17 resource papers, 11 workshop papers, 7 tutorial papers, 19 IR4Good papers, 13 demo papers, 14 doctoral consortium papers, 10 industry track papers, and 16 CLEF overview papers, were carefully reviewed and selected from 530 submissions.The papers were organized in the four volumes as follows: Volume 1: Full Papers Volume 2: Full Papers and Short PapersVolume 3: Reproducibility Papers, Workshop Papers, IR for Good papers, and Doctoral Consortium PapersVolume 4: Tutorial Papers, Industry Papers, Demo Papers, CLEF Overview Papers, and Resource Papers.

The four-volume set LNCS 16483-16486 constitutes the refereed conference proceedings of the 48th European Conference on Information Retrieval, ECIR 2026, held in Delft, The Netherlands, during March 29–April 2, 2026.The 46 full papers and 37 short papers presented together with 10 findings papers, 9 reproducibility papers, 17 resource papers, 11 workshop papers, 7 tutorial papers, 19 IR4Good papers, 13 demo papers, 14 doctoral consortium papers, 10 industry track papers, and 16 CLEF overview papers, were carefully reviewed and selected from 530 submissions.The papers were organized in the four volumes as follows: Volume 1: Full Papers Volume 2: Full Papers and Short PapersVolume 3: Reproducibility Papers, Workshop Papers, IR for Good papers, and Doctoral Consortium PapersVolume 4: Tutorial Papers, Industry Papers, Demo Papers, CLEF Overview Papers, and Resource Papers.

The four-volume set LNCS 16483-16486 constitutes the refereed conference proceedings of the 48th European Conference on Information Retrieval, ECIR 2026, held in Delft, The Netherlands, during March 29–April 2, 2026.The 46 full papers and 37 short papers presented together with 10 findings papers, 9 reproducibility papers, 17 resource papers, 11 workshop papers, 7 tutorial papers, 19 IR4Good papers, 13 demo papers, 14 doctoral consortium papers, 10 industry track papers, and 16 CLEF overview papers, were carefully reviewed and selected from 530 submissions.The papers were organized in the four volumes as follows: Volume 1: Full Papers Volume 2: Full Papers and Short PapersVolume 3: Reproducibility Papers, Workshop Papers, IR for Good papers, and Doctoral Consortium PapersVolume 4: Tutorial Papers, Industry Papers, Demo Papers, CLEF Overview Papers, and Resource Papers.

The four-volume set LNCS 16483-16486 constitutes the refereed conference proceedings of the 48th European Conference on Information Retrieval, ECIR 2026, held in Delft, The Netherlands, during March 29–April 2, 2026.The 46 full papers and 37 short papers presented together with 10 findings papers, 9 reproducibility papers, 17 resource papers, 11 workshop papers, 7 tutorial papers, 19 IR4Good papers, 13 demo papers, 14 doctoral consortium papers, 10 industry track papers, and 16 CLEF overview papers, were carefully reviewed and selected from 530 submissions.The papers were organized in the four volumes as follows: Volume 1: Full Papers Volume 2: Full Papers and Short PapersVolume 3: Reproducibility Papers, Workshop Papers, IR for Good papers, and Doctoral Consortium PapersVolume 4: Tutorial Papers, Industry Papers, Demo Papers, CLEF Overview Papers, and Resource Papers.

This book merges the frontiers of artificial intelligence and information retrieval. It navigates the intersection of deep learning technology and information retrieval, offering a structured exploration across various chapters. From foundational concepts to advanced neural network architectures, readers are guided through a journey elucidating the symbiotic relationship between deep learning and information retrieval. At its core, this work converges computer science, artificial intelligence, and information retrieval, heralding a paradigm shift in knowledge retrieval methodologies. By harnessing deep learning, the book seeks to augment the precision and efficacy of information retrieval systems, thereby enhancing user experience and advancing the frontier of scholarly inquiry. Through rigorous theoretical exposition and empirical validation, the authors substantiate the efficacy of deep learning in real-world applications, offering readers a compendium of knowledge and practical wisdom.From this book, readers gain insights into the latest research findings and methodologies of deep learning technology in information retrieval. Whether scholars or practitioners, readers are equipped with the tools to navigate the complexities of this interdisciplinary domain. Yet, to fully engage with the material, a foundational understanding of computer science, mathematics, and rudimentary concepts of deep learning and information retrieval is recommended. Through this reading, readers are empowered to navigate the intricacies of information retrieval and deep learning, fostering innovation and advancement in both theory and practice. The translation was done with the help of artificial intelligence. A subsequent human revision was done primarily in terms of content.