Ranking for Web Data Search Using On-The-Fly Data Integration
Dissertationsschrift
(Sprache: Englisch)
Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web...
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Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.
Klappentext zu „Ranking for Web Data Search Using On-The-Fly Data Integration “
Ranking - the algorithmic decision on how relevant an information artifact is for a given information need and the sorting of artifacts by their concluded relevancy - is an integral part of every search engine. In this book we investigate how structured Web data can be leveraged for ranking with the goal to improve the effectiveness of search. We propose new solutions for ranking using on-the-fly data integration and experimentally analyze and evaluate them against the latest baselines.
Bibliographische Angaben
- Autor: Daniel Markus Herzig
- 2014, 218 Seiten, mit Abbildungen, Maße: 17 x 24 cm, Kartoniert (TB), Englisch
- Verlag: KIT Scientific Publishing
- ISBN-10: 3731501368
- ISBN-13: 9783731501367
Sprache:
Englisch
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