Using viewing time for theme prediction in cultural heritage spaces

Fabian Bohnert; Ingrid Zukerman

Using viewing time for theme prediction in cultural heritage spaces

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Original language	English
Title of host publication	Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007)
Editors	Mehmet A Orgun, John Thornton
Place of Publication	Berlin Germany
Publisher	Springer-Verlag London Ltd.
Pages	367 - 376
Number of pages	10
Volume	4830
Publication status	Published - 2007
Event	Australasian Joint Conference on Artificial Intelligence 2007 - Gold Coast, Australia Duration: 2 Dec 2007 → 6 Dec 2007 Conference number: 20th https://link.springer.com/book/10.1007/978-3-540-76928-6 (Proceedings)

Publication series

Name	Lecture Notes in Computer Science
ISSN (Print)	0302-9743

Conference

Conference	Australasian Joint Conference on Artificial Intelligence 2007
Abbreviated title	AI 2007
Country/Territory	Australia
City	Gold Coast
Period	2/12/07 → 6/12/07
Internet address	https://link.springer.com/book/10.1007/978-3-540-76928-6 (Proceedings)

Cite this

Bohnert, Fabian ; Zukerman, Ingrid. / Using viewing time for theme prediction in cultural heritage spaces. Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007). editor / Mehmet A Orgun ; John Thornton. Vol. 4830 Berlin Germany : Springer-Verlag London Ltd., 2007. pp. 367 - 376 (Lecture Notes in Computer Science).

@inproceedings{455c16c489994396bb553d2df6f2e556,

title = "Using viewing time for theme prediction in cultural heritage spaces",

author = "Fabian Bohnert and Ingrid Zukerman",

year = "2007",

language = "English",

volume = "4830",

series = "Lecture Notes in Computer Science",

publisher = "Springer-Verlag London Ltd.",

pages = "367 -- 376",

editor = "Orgun, \{Mehmet A\} and John Thornton",

booktitle = "Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007)",

address = "Germany",

note = "Australasian Joint Conference on Artificial Intelligence 2007, AI 2007 ; Conference date: 02-12-2007 Through 06-12-2007",

url = "https://link.springer.com/book/10.1007/978-3-540-76928-6",

}

Bohnert, F & Zukerman, I 2007, Using viewing time for theme prediction in cultural heritage spaces. in MA Orgun & J Thornton (eds), Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007). vol. 4830, Lecture Notes in Computer Science, Springer-Verlag London Ltd., Berlin Germany, pp. 367 - 376, Australasian Joint Conference on Artificial Intelligence 2007, Gold Coast, Queensland, Australia, 2/12/07.

Using viewing time for theme prediction in cultural heritage spaces. / Bohnert, Fabian; Zukerman, Ingrid.
Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007). ed. / Mehmet A Orgun; John Thornton. Vol. 4830 Berlin Germany: Springer-Verlag London Ltd., 2007. p. 367 - 376 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Using viewing time for theme prediction in cultural heritage spaces

AU - Bohnert, Fabian

AU - Zukerman, Ingrid

N1 - Conference code: 20th

PY - 2007

Y1 - 2007

UR - http://www.springerlink.com/content/qx26n711527k6502/fulltext.pdf

M3 - Conference Paper

VL - 4830

T3 - Lecture Notes in Computer Science

SP - 367

EP - 376

BT - Proceedings of the 20th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence (AI 2007)

A2 - Orgun, Mehmet A

A2 - Thornton, John

PB - Springer-Verlag London Ltd.

CY - Berlin Germany

T2 - Australasian Joint Conference on Artificial Intelligence 2007

Y2 - 2 December 2007 through 6 December 2007

ER -

Using viewing time for theme prediction in cultural heritage spaces

Publication series

Conference

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Cite this