Personalizing XML Full Text Search in PIMENTO

Authors Irini Fundulaki, Sihem Amer-Yahia, Lakshmanan Laks



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Author Details

Irini Fundulaki
Sihem Amer-Yahia
Lakshmanan Laks

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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.
Keywords
  • XML Full Text Search
  • Personalization

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