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Ingrid Zukerman
Ingrid Zukerman
Professor of Information Technology, Monash University
Bestätigte E-Mail-Adresse bei monash.edu
Titel
Zitiert von
Zitiert von
Jahr
Predictive statistical models for user modeling
I Zukerman, DW Albrecht
User Modeling and User-Adapted Interaction 11 (1), 5-18, 2001
4672001
Bayesian models for keyhole plan recognition in an adventure game
DW Albrecht, I Zukerman, AE Nicholson
User modeling and user-adapted interaction 8 (1), 5-47, 1998
2891998
Predicting users’ requests on the WWW
I Zukerman, DW Albrecht, AE Nicholson
UM99 user modeling, 275-284, 1999
2721999
Natural language processing and user modeling: Synergies and limitations
I Zukerman, D Litman
User modeling and user-adapted interaction 11 (1), 129-158, 2001
1382001
Authorship attribution with topic models
Y Seroussi, I Zukerman, F Bohnert
Computational Linguistics 40 (2), 269-310, 2014
1352014
Towards a Bayesian model for keyhole plan recognition in large domains
DW Albrecht, I Zukerman, AE Nicholson, A Bud
User Modeling, 365-376, 1997
1351997
Personalised rating prediction for new users using latent factor models
Y Seroussi, F Bohnert, I Zukerman
Proceedings of the 22nd ACM conference on Hypertext and hypermedia, 47-56, 2011
1032011
Pre-sending documents on the WWW: A comparative study
DW Albrecht, I Zukerman, AE Nicholson
IJCAI, 1274-1279, 1999
991999
Using interest and transition models to predict visitor locations in museums
F Bohnert, I Zukerman, S Berkovsky, T Baldwin, L Sonenberg
AI Communications 21 (2-3), 195-202, 2008
762008
Authorship attribution with latent Dirichlet allocation
Y Seroussi, I Zukerman, F Bohnert
Proceedings of the fifteenth conference on computational natural language …, 2011
682011
Lexical query paraphrasing for document retrieval
I Zukerman, B Raskutti
COLING 2002: The 19th International Conference on Computational Linguistics, 2002
672002
Inferring informational goals and preferred level of detail of answers based on application employed by the user based at least on informational content being displayed to the …
EJ Horvitz, I Zukerman
US Patent 7,778,820, 2010
662010
The automated understanding of simple bar charts
S Elzer, S Carberry, I Zukerman
Artificial Intelligence 175 (2), 526-555, 2011
592011
Bayesian reasoning in an abductive mechanism for argument generation and analysis
I Zukerman, R McConachy, KB Korb
AAAI/IAAI, 833-838, 1998
531998
Exploring and exploiting the limited utility of captions in recognizing intention in information graphics
S Elzer, S Carberry, D Chester, S Demir, N Green, I Zukerman, K Trnka
Proceedings of the 43rd Annual meeting of the Association for Computational …, 2005
522005
Using argumentation strategies in automated argument generation
I Zukerman, R McConachy, S George
INLG’2000 Proceedings of the First International Conference on Natural …, 2000
522000
Collaborative inference of sentiments from texts
Y Seroussi, I Zukerman, F Bohnert
International Conference on User Modeling, Adaptation, and Personalization …, 2010
512010
Generating queries and replies during information-seeking interactions
B Raskutti, I Zukerman
International Journal of Human-Computer Studies 47 (6), 689-734, 1997
471997
Generating concise discourse that addresses a user's inferences
I Zukerman, R McConachy
IJCAI 93, 1202-1207, 1993
471993
A probabilistic framework for recognizing intention in information graphics
S Elzer, S Carberry, I Zukerman, D Chester, N Green, S Demir
IJCAI, 1042-1047, 2005
452005
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