-
Reichert, S.; Mayr, P.: Untersuchung von Relevanzeigenschaften in einem kontrollierten Eyetracking-Experiment (2012)
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- Abstract
- In diesem Artikel wird ein Eyetracking-Experiment beschrieben, bei dem untersucht wurde, wann und auf Basis welcher Informationen Relevanzentscheidungen bei der themenbezogenen Dokumentenbewertung fallen und welche Faktoren auf die Relevanzentscheidung einwirken. Nach einer kurzen Einführung werden relevante Studien aufgeführt, in denen Eyetracking als Untersuchungsmethode für Interaktionsverhalten mit Ergebnislisten (Information Seeking Behavior) verwendet wurde. Nutzerverhalten wird hierbei vor allem durch unterschiedliche Aufgaben-Typen, dargestellte Informationen und durch das Ranking eines Ergebnisses beeinflusst. Durch EyetrackingUntersuchungen lassen sich Nutzer außerdem in verschiedene Klassen von Bewertungs- und Lesetypen einordnen. Diese Informationen können als implizites Feedback genutzt werden, um so die Suche zu personalisieren und um die Relevanz von Suchergebnissen ohne aktives Zutun des Users zu erhöhen. In einem explorativen Eyetracking-Experiment mit 12 Studenten der Hochschule Darmstadt werden anhand der Länge der Gesamtbewertung, Anzahl der Fixationen, Anzahl der besuchten Metadatenelemente und Länge des Scanpfades zwei typische Bewertungstypen identifiziert. Das Metadatenfeld Abstract wird im Experiment zuverlässig als wichtigste Dokumenteigenschaft für die Zuordnung von Relevanz ermittelt.
- Date
- 22. 7.2012 19:25:54
-
Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011)
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- Date
- 12. 7.2011 18:29:22
-
Ravana, S.D.; Taheri, M.S.; Rajagopal, P.: Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems (2015)
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- Content
- Vgl.: http://dx.doi.org/10.1108/AJIM-12-2014-0171.
- Date
- 20. 1.2015 18:30:22
-
Järvelin, K.: Evaluation (2011)
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- Date
- 7. 1.2013 19:34:12
-
Balog, K.; Schuth, A.; Dekker, P.; Tavakolpoursaleh, N.; Schaer, P.; Chuang, P.-Y.: Overview of the TREC 2016 Open Search track Academic Search Edition (2016)
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- Date
- 27.11.2020 12:12:15
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Becks, D.; Mandl, T.; Womser-Hacker, C.: Spezielle Anforderungen bei der Evaluierung von Patent-Retrieval-Systemen (2010)
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- Date
- 12. 8.2011 14:30:36
- Source
- Information und Wissen: global, sozial und frei? Proceedings des 12. Internationalen Symposiums für Informationswissenschaft (ISI 2011) ; Hildesheim, 9. - 11. März 2011. Hrsg.: J. Griesbaum, T. Mandl u. C. Womser-Hacker
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Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011)
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- Date
- 22. 1.2011 14:20:56
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Wildemuth, B.; Freund, L.; Toms, E.G.: Untangling search task complexity and difficulty in the context of interactive information retrieval studies (2014)
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- Date
- 6. 4.2015 19:31:22
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Rajagopal, P.; Ravana, S.D.; Koh, Y.S.; Balakrishnan, V.: Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment (2019)
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- Date
- 20. 1.2015 18:30:22
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Li, J.; Zhang, P.; Song, D.; Wu, Y.: Understanding an enriched multidimensional user relevance model by analyzing query logs (2017)
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- Source
- Journal of the Association for Information Science and Technology. 68(2017) no.12, S.2743-2754
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Tamine, L.; Chouquet, C.; Palmer, T.: Analysis of biomedical and health queries : lessons learned from TREC and CLEF evaluation benchmarks (2015)
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- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2626-2642
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Schaer, P.; Mayr, P.; Sünkler, S.; Lewandowski, D.: How relevant is the long tail? : a relevance assessment study on million short (2016)
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- Date
- 18.10.2016 12:59:21
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Sarigil, E.; Sengor Altingovde, I.; Blanco, R.; Barla Cambazoglu, B.; Ozcan, R.; Ulusoy, Ö.: Characterizing, predicting, and handling web search queries that match very few or no results (2018)
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- 14. 1.2018 12:24:00
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Losada, D.E.; Parapar, J.; Barreiro, A.: Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems (2017)
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- 17. 3.2019 12:54:19
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White, H.D.: Relevance theory and distributions of judgments in document retrieval (2017)
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- 17. 3.2019 12:56:37
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Naderi, H.; Rumpler, B.: PERCIRS: a system to combine personalized and collaborative information retrieval (2010)
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- 29. 8.2010 12:59:10
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Borlund, P.: ¬A study of the use of simulated work task situations in interactive information retrieval evaluations : a meta-evaluation (2016)
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- Date
- 15. 4.2016 12:59:53
