Advanced Topics in Information Retrieval

  • Massimo Melucci
  • Ricardo Baeza-Yates

Part of the The Information Retrieval Series book series (INRE, volume 33)

Table of contents

  1. Front Matter
    Pages I-XXXI
  2. Maristella Agosti
    Pages 1-26
  3. Berkant Barla Cambazoglu, Ricardo Baeza-Yates
    Pages 27-50
  4. Mounia Lalmas
    Pages 109-123
  5. Massimo Melucci, Keith van Rijsbergen
    Pages 125-155
  6. Stefan Rüger
    Pages 157-186
  7. Ian Ruthven
    Pages 187-207
  8. James G. Shanahan, Goutham Kurra
    Pages 209-237
  9. Back Matter
    Pages 239-274

About this book


Information retrieval is the science concerned with the effective and efficient retrieval of documents starting from their semantic content. It is employed to fulfill some information need from a large number of digital documents. Given the ever-growing amount of documents available and the heterogeneous data structures used for storage, information retrieval has recently faced and tackled novel applications.

In this book, Melucci and Baeza-Yates present a wide-spectrum illustration of recent research results in advanced areas related to information retrieval. Readers will find chapters on e.g. aggregated search, digital advertising, digital libraries, discovery of spam and opinions, information retrieval in context, multimedia resource discovery, quantum mechanics applied to information retrieval, scalability challenges in web search engines, and interactive information retrieval evaluation. All chapters are written by well-known researchers, are completely self-contained and comprehensive, and are complemented by an integrated bibliography and subject index.

With this selection, the editors provide the most up-to-date survey of topics usually not addressed in depth in traditional (text)books on information retrieval. The presentation is intended for a wide audience of people interested in information retrieval: undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers.


Aggregated Search Context Dependent Search Digital Libraries Information Retrieval Interactive Search Multimedia Retrieval Web Advertising Web Mining Web Search Engines

Editors and affiliations

  • Massimo Melucci
    • 1
  • Ricardo Baeza-Yates
    • 2
  1. 1., Department of Information EngineeringUniversity of PaduaPaduaItaly
  2. 2.Yahoo! Research BarcelonaBarcelonaSpain

Bibliographic information