Mobile Information Retrieval
Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto

TL;DR
Mobile IR adapts traditional information retrieval techniques for mobile devices, addressing unique challenges like device characteristics, context-awareness, and specialized data collections, to improve user experience and relevance in mobile environments.
Contribution
This paper provides a comprehensive overview of Mobile IR, highlighting its unique characteristics, challenges, and recent research trends, offering a structured foundation for future work.
Findings
Mobile IR involves specialized document collections and data sources.
User studies and evaluation methodologies differ from classical IR.
Context-awareness plays a crucial role in Mobile IR effectiveness.
Abstract
Mobile Information Retrieval (Mobile IR) is a relatively recent branch of Information Retrieval (IR) that is concerned with enabling users to carry out, using a mobile device, all the classical IR operations that they were used to carry out on a desktop. This includes finding content available on local repositories or on the web in response to a user query, interacting with the system in an explicit or implicit way, reformulate the query and/or visualise the content of the retrieved documents, as well as providing relevance judgments to improve the retrieval process. This book is structured as follows. Chapter 2 provides a very brief overview of IR and of Mobile IR, briefly outlining what in Mobile IR is different from IR. Chapter 3 provides the foundations of Mobile IR, looking at the characteristics of mobile devices and what they bring to IR, but also looking at how the concept of…
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Mobile Information Retrieval
Fabio Crestani
Stefano Mizzaro
Ivan Scagnetto
