Issue I

07 cover I

Next Generation Web Search

Volume: 2007, No. I

Date: February 2007

Guest Editors: Ricardo Baeza-Yates, Paolo Boldi and José-María Gómez-Hidalgo

Contents: Download full issue (PDF 2.3MB)

Jump to: Monograph | UPgrade European NETwork | CEPIS News


Next Generation Web Search

Since the publication of the UPGRADE issue on "Information Retrieval and the Web" in June 2002, the dimension of the Web, as well as the kind of information available on the Web and its usage have clearly evolved, posing new challenges for their most prominent entry points, Search Engines. There are new challenges to be faced on many topics including:

  • Advanced search modes
  • Efficiency
  • Semantic web
  • Online social networks
  • Personalization
  • Multimedia and multilingualism
  • Web spam

In this issue, the CEPIS News section discusses the journey towards the final report of the Harmonise Project, and the UPgrade European NETwork section includes a selection of papers from the Polish Information Processing Society (PIPS) in Poland and the Asociación de Técnicos de Informática (ATI) in Spain.

Papers

The following papers are included in this issue:

  • Efficient Sparse Linear System Solution of the Page-Rank Problem by Gianna M. Del Corso, Antonio Gullì and Francesco Romani
  • Learning to Analyze Natural Language Texts by Giuseppe Attardi
  • SNAKET: A Personalized Search-result Clustering Engine by Paolo Ferragina and Antonio Gullì
  • The Multimodal Nature of the Web: New Trends in Information Access by Luis-Alfonso Ureña-López, Manuel-Carlos Díaz-Galiano, Arturo Montejo-Raez and Mª Teresa Martín-Valdivia
  • Winner of the III Edition of the Novática Award: Adversarial Information Retrieval in the Web by Ricardo Baeza-Yates, Paolo Boldi and José María-Gómez-Hidalgo
  • GERINDO: Managing and Retrieving Information in Large Document Collections by Nivio Ziviani, Alberto H.F. Laender, Edleno Silva de Moura, Altigran Soares da Silva, Carlos A. Heuser and Wagner Meira Jr.
  • Research Directions in Terrier: a Search Engine for Advanced Retrieval on the Web by Iadh Ounis, Christina Lioma, Craig Macdonald and Vassilis Plachouras
  • Yahoo! Research Barcelona: Web Retrieval and Mining by The Yahoo! Research Team


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