About this book series

Information Retrieval (IR) deals with access to and search in mostly unstructured information, in text, audio, and/or video, either from one large file or spread over separate and diverse sources, in static storage devices as well as on streaming data. It is part of both computer and information science, and uses techniques from e.g. mathematics, statistics, machine learning, database management, or computational linguistics. Information Retrieval is often at the core of networked applications, web-based data management, or large-scale data analysis.

The Information Retrieval Series presents monographs, edited collections, and advanced text books on topics of interest for researchers in academia and industry alike. Its focus is on the timely publication of state-of-the-art results at the forefront of research and on theoretical foundations necessary to develop a deeper understanding of methods and approaches.

This series is abstracted/indexed in EI Compendex and Scopus.




Electronic ISSN
2730-6836
Print ISSN
1871-7500
Series Editor
  • ChengXiang Zhai,
  • Maarten de Rijke

Book titles in this series

  1. Dive into Misinformation Detection

    From Unimodal to Multimodal and Multilingual Misinformation Detection

    Authors:
    • Asif Ekbal
    • Rina Kumari
    • Copyright: 2024

    Available Renditions

    • Soft cover
    • eBook
  2. Learning to Quantify

    Authors:
    • Andrea Esuli
    • Alessandro Fabris
    • Alejandro Moreo
    • Fabrizio Sebastiani
    • Open Access
    • Copyright: 2023

    Available Renditions

    • Soft cover
    • eBook

Abstracted and indexed in

  1. DBLP
  2. EI Compendex
  3. Norwegian Register for Scientific Journals and Series
  4. SCOPUS
  5. zbMATH