In the last decade, the importance of analyzing information management systems logs has
grown, because log data constitute a relevant aspect in evaluating the quality of such …

Computing the degree of semantic relatedness of words is a key functionality of many
language applications such as search, clustering, and disambiguation. Previous …

This book is a second edition, updated and expanded to explain the technologies that help
us find information on the web. Search engines and web navigation tools have become …

Web search engines have stored in their logs information about users since they started to
operate. This information often serves many purposes. The primary focus of this survey is on …

Background Online health information is unregulated and can be of highly variable quality.
There is currently no singular quantitative tool that has undergone a validation process, can …

The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …

This chapter develops a social epistemological analysis of Web‐based search engines,
addressing the following questions. First, what epistemic functions do search engines …

Accurate topical classification of user queries allows for increased effectiveness and
efficiency in general-purpose Web search systems. Such classification becomes critical if the …

Query auto-completion (QAC) is a common interactive feature that assists users in
formulating queries by providing completion suggestions as they type. In order for QAC to …

Search has become ubiquitous but that does not mean that search has been solved.
Enterprise search, which is broadly speaking the use of information retrieval technology to …