Information Filtering and Retrieval : DART 2014: Revised and Invited Papers

Cristian Lai

ISBN 10: 3319834495 / ISBN 13: 9783319834498

Edité par Springer, Berlin, Springer International Publishing, Springer, 2018

A propos de cet article

Druck auf Anfrage Neuware - Printed after ordering - This book focuses on new research challenges in intelligent information filtering and retrieval. It collects invited chapters and extended research contributions from DART 2014 (the 8th International Workshop on Information Filtering and Retrieval), held in Pisa (Italy), on December 10, 2014, and co-hosted with the XIII AI\*IA Symposium on Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The chapters of this book present a comprehensive review of related works and the current state of the art. The contributions from both practitioners and researchers have been carefully reviewed by experts in the area, who also gave useful suggestions to improve the quality of the book.

N° de réf. du vendeur 9783319834498

Détails bibliographiques

• Titre: Information Filtering and Retrieval : DART 2014: Revised and Invited Papers
• Éditeur: Springer, Berlin, Springer International Publishing, Springer
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3319834495
• ISBN à 13 chiffres: 9783319834498
• Reliure: Taschenbuch
• État de l'article: Neu
• Dimensions: 235 L x 155 H x 7 P (en millimètres) 235 millimètres de largeur par 155 millimètres de hauteur par 7 millimètres de profondeur
• Poids: 209 grammes

A propos de ce titre

Synopsis

This book focuses on new research challenges in intelligent information filtering and retrieval. It collects invited chapters and extended research contributions from DART 2014 (the 8th International Workshop on Information Filtering and Retrieval), held in Pisa (Italy), on December 10, 2014, and co-hosted with the XIII AI*IA Symposium on Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The chapters of this book present a comprehensive review of related works and the current state of the art. The contributions from both practitioners and researchers have been carefully reviewed by experts in the area, who also gave useful suggestions to improve the quality of the book.