What is the difference? A cognitive dissimilarity measure for information retrieval result sets

Author:

Keßler Carsten

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference56 articles.

1. Agichtein E, Brill E, Dumais S, Ragno R (2006) Learning user interaction models for predicting web search result preferences. In: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval. ACM Press, New York, NY, USA, pp 3–10

2. Albertoni R, De Martino M (2008) Asymmetric and context-dependent semantic similarity among ontology instances. J Data Semant Lect Notes Comput Sci 4900: 1–30

3. Baeza-Yates R, Ribeiro-Neto B (1999) Modern information retrieval. Addison Wesley, Boston

4. Bazire M, Brézillon P (2005) Understanding context before using it. In: Dey AK, Kokinov B, Leake D, Turner R (eds) Modeling and using context—5th international and interdisciplinary conference (CONTEXT 2005), Paris, France. Lecture notes in computer science, vol 3554. Springer, Berlin, pp 29–40

5. Bikakis A, Antoniou G, Hasapis P (2010) Strategies for contextual reasoning with conflicts in ambient intelligence. Knowl Info Syst

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