Publication View

Personalizing XML Full Text Search in PIMENTO (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.. @InProceedings{fundulaki_et_al:DSP:2008:1534, author = {Irini Fundulaki and Sihem Amer-Yahia and Lakshmanan Laks}, title = {Personalizing XML Full Text Search in PIMENTO}, booktitle = {Ranked XML Querying}, year = {2008}, editor = {Sihem Amer-Yahia and Divesh Srivastava and Gerhard Weikum}, number = {08111}, series = {Dagstuhl Seminar Proceedings}, ISSN = {1862-4405}, publisher = {Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany}, address = {Dagstuhl, Germany}, URL = {http://drops.dagstuhl.de/opus/volltexte/2008/1534}, annote = {Keywords: XML Full Text Search, Personalization} }

Publication details
Download http://drops.dagstuhl.de/opus/volltexte/2008/1534/
Publisher Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Dagstuhl Seminar Proceedings. 08111 - Ranked XML Querying
Repository DROPS - Dagstuhl Research Online Publication Server ()
Keywords XML Full Text Search, Personalization, Data processing Computer science, General Literature
Type InProceedings
Language eng