Personalizing XML Full Text Search in PIMENTO

Authors Irini Fundulaki, Sihem Amer-Yahia, Lakshmanan Laks



PDF
Thumbnail PDF

File

DagSemProc.08111.3.pdf
  • Filesize: 97 kB
  • 2 pages

Document Identifiers

Author Details

Irini Fundulaki
Sihem Amer-Yahia
Lakshmanan Laks

Cite As Get BibTex

Irini Fundulaki, Sihem Amer-Yahia, and Lakshmanan Laks. Personalizing XML Full Text Search in PIMENTO. In Ranked XML Querying. Dagstuhl Seminar Proceedings, Volume 8111, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2008) https://doi.org/10.4230/DagSemProc.08111.3

Abstract

In PIMENTO we advocate a novel approach to XML search that leverages user information
to return more relevant query answers. This approach is based on formalizing
{em user profiles} in terms of {em scoping rules} which are used to rewrite an input query,
and of {em ordering rules} which are combined with query scoring to customize the ranking
of query answers to specific users.

Subject Classification

Keywords
  • XML Full Text Search
  • Personalization

Metrics

  • Access Statistics
  • Total Accesses (updated on a weekly basis)
    0
    PDF Downloads
Questions / Remarks / Feedback
X

Feedback for Dagstuhl Publishing


Thanks for your feedback!

Feedback submitted

Could not send message

Please try again later or send an E-mail