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Personalizing XML Full Text Search in PIMENTO

Authors: Irini Fundulaki, Sihem Amer-Yahia, and Lakshmanan Laks

Published in: Dagstuhl Seminar Proceedings, Volume 8111, Ranked XML Querying (2008)


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.

Cite as

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)


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@InProceedings{fundulaki_et_al:DagSemProc.08111.3,
  author =	{Fundulaki, Irini and Amer-Yahia, Sihem and Laks, Lakshmanan},
  title =	{{Personalizing XML Full Text Search in PIMENTO}},
  booktitle =	{Ranked XML Querying},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2008},
  volume =	{8111},
  editor =	{Sihem Amer-Yahia and Divesh Srivastava and Gerhard Weikum},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08111.3},
  URN =		{urn:nbn:de:0030-drops-15340},
  doi =		{10.4230/DagSemProc.08111.3},
  annote =	{Keywords: XML Full Text Search, Personalization}
}
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