Publications

For the most up-to-date list of publications, please see my pages on DBLP.

2014

K. Hofmann, B. Mitra, F. Radlinski, M. Shokouhi, “An Eye-tracking Study of User Interactions with Query Auto Completion”, CIKM 2014, Shanghai, 2014.

B. Mitra, M. Shokouhi, F. Radlinski, K. Hofmann, “On user interactions with query auto-completion”, SIGIR 2014, Gold Coast, 2014.

K. Hofmann, A. Schuth, A. Bellogín, M. de Rijke, “Effects of Position Bias on Click-Based Recommender Evaluation”, ECIR 2014, Amsterdam, 2014.

M. de Rijke, T. Kenter, A. P. de Vries, C. Zhai, F. de Jong, K. Radinsky, K. Hofmann (Eds.): Advances in Information Retrieval – 36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings. Lecture Notes in Computer Science 8416, Springer, 2014.

2013

K. Hofmann, S. A. Whiteson, and M. de Rijke, “Balancing Exploration and Exploitation in Listwise and Pairwise Online Learning to Rank for Information Retrieval”, Information Retrieval, 16(1): 63-90 (2013)

K. Hofmann, S. A. Whiteson S., M. de Rijke, “Fidelity, Soundness, and Efficiency of Interleaved Comparison Methods”, ACM Transactions on Information Systems (TOIS), 31(4): 17 (2013).

K. Hofmann, A. Schuth, S. A. Whiteson, and M. de Rijke, “Reusing Historical Interaction Data for Faster Online Learning to Rank for IR”, WSDM 2013, Rome, ACM, 2013 (acceptance: 19%).

Aleksandr Chuklin, Anne Schuth, Katja Hofmann, Pavel Serdyukov, Maarten de Rijke: Evaluating aggregated search using interleaving. CIKM 2013: pp. 669-678, San Francisco, 2013.

K. Hofmann, “Fast and reliable online learning to rank for information retrieval (Doctoral abstract)”. SIGIR Forum, 47(2): 140 (2013) (PDF).

F. Radlinski, K. Hofmann, “Practical Online Retrieval Evaluation” (Tutorial abstract), ECIR 2013, Moscow, Springer, pp. 878-881, 2013.

P. Vossen, H. van der Vliet, I. Maks, R. Segers, M.-F. Moens, K. Hofmann, E. F. Tjong Kim Sang, and M. de Rijke, “Cornetto: A Combinatorial Lexical Semantic Database for Dutch”, Essential Speech and Language Technology for Dutch, 2012.

2012

K. Hofmann, F. Behr, and F. Radlinski, “On Caption Bias in Interleaving Experiments”, CIKM 2012, Maui, ACM, 2012 (acceptance: 13%).

K. Hofmann, S. A. Whiteson, and M. de Rijke, “Estimating Interleaved Comparison Outcomes from Historical Click Data”, CIKM 2012, Maui, ACM, 2012 (acceptance: 28%).

E. Tsivtsivadze, K. Hofmann, and T. Heskes, “Large Scale Co-Regularized Ranking”, ECAI Workshop on Preference Learning: Problems and Applications in AI, Montpellier, 2012.

P. Lubell-Doughtie and K. Hofmann, “Learning to Rank from Relevance Feedback for e-Discovery”, ECIR 2012, Barcelona, Springer, 2012.

B. Huurnink, R. Berendsen, K. Hofmann, E. Meij, and M. de Rijke, “The University of Amsterdam at the TREC 2011 Session Track”, TREC 2011, 2012.

2011

K. Hofmann, S. A. Whiteson, and M. de Rijke, “A Probabilistic Method for Inferring Preferences from Clicks”, CIKM 2011, Glasgow, ACM, 2011.

K. Hofmann, “Search Engines that Learn Online”, SIGIR 2011 Doctoral Consortium, Beijing, ACM, 2011.

K. Hofmann, S. A. Whiteson, and M. de Rijke, “Balancing Exploration and Exploitation in Online Learning to Rank”, ECIR 2011, Dublin, Springer, 2011.

C. Boscarino, K. Hofmann, V. B. Jijkoun, E. Meij, M. de Rijke, and W. Weerkamp, “Workshop report: Dutch-Belgian Information Retrieval”, SIGIR Forum, vol. 45, no. 1, pp. 42-44, 2011.

K. Hofmann, S. A. Whiteson, and M. de Rijke, “Adapting Rankers Online”, Information Retrieval Facility Conference 2011: Springer, 2011.

E. F. Tjong Kim Sang, K. Hofmann, and M. de Rijke, “Extraction of Hypernymy Information from Text”, Inteactive Multi-Modal Question-Answering: Springer, 2011.

C. Boscarino, K. Hofmann, V. B. Jijkoun, E. Meij, M. de Rijke, and W. Weerkamp (Eds.), “DIR 2011 – Dutch-Belgian Information Retrieval Workshop”, DIR 2011, Amsterdam, UvA, 2011.

E. F. Tjong Kim Sang, K. Hofmann, M. de Rijke, “Extraction of Hypernymy Information from Text”, Interactive Multi-modal Question-Answering, Berlin, Springer, pp. 223-245, 2011.

2010

B. Huurnink, K. Hofmann, M. de Rijke, and M. Bron, “Validating Query Simulators: An Experiment Using Commercial Searches and Purchases”, CLEF 2010, Padova, Springer, 2010.

K. Hofmann, B. Huurnink, M. Bron, and M. de Rijke, “Comparing Click-through Data to Purchase Decisions for Retrieval Evaluation”, SIGIR 2010, Geneva, ACM, 2010.

B. Huurnink, K. Hofmann, M. de Rijke, “Simulating Searches from Transaction Logs”, SIGIR 2010 Workshop on the Simulation of Interaction, Geneva, ACM, 2010.

J. Besser, M. Larson, K. Hofmann, “Podcast Search: User Goals and Retrieval Technologies”, Online Information Review, vol. 34, no.3, pp. 395-419, 2010.

K. Hofmann, K. Balog, T. Bogers, and M. de Rijke, “Contextual Factors for Finding Similar Experts”, Journal of the American Society for Information Science and Technology, vol. 61, no. 5, pp. 994-1014, 2010.

J. He, K. Balog, K. Hofmann, E. Meij, M. de Rijke, E. Tsagkias, and W. Weerkamp, “Heuristic Ranking and Diversification of Web Documents”, TREC 2009, 2010.

2009

K. Balog, M. Bron, J. He, K. Hofmann, E. Meij, M. de Rijke, E. Tsagkias, and W. Weerkamp, “The University of Amsterdam at TREC 2009: Blog, Web, Entity, and Relevance Feedback”, TREC 2009 Working Notes: NIST, 2009.

K. Hofmann, E. Tsagkias, E. Meij, and M. de Rijke, “The Impact of Document Structure on Keyphrase Extraction”, CIKM 2009, Hong Kong, ACM, 2009.

K. Hofmann, M. de Rijke, B. Huurnink, and E. Meij, “A Semantic Perspective on Query Log Analysis”, Working Notes for the CLEF 2009 Workshop, 2009.

E. F. Tjong Kim Sang, and K. Hofmann, “Lexical Patterns or Dependency Patterns: Which Is Better for Hypernym Extraction?”, CoNLL-2009, Boulder, CO, USA, 2009.

K. Balog, J. He, K. Hofmann, V. B. Jijkoun, C. Monz, E. Tsagkias, W. Weerkamp, and M. de Rijke, “The University of Amsterdam at WePS2”, 2nd Web People Search Evaluation Workshop, 2009.

V. B. Jijkoun, and K. Hofmann,  “Generating a Non-English Subjectivity Lexicon: Relations That Matter”, 12th Conference of the European Chapter of the ACL (EACL-09), 2009.

2008

J. Besser, K. Hofmann, and M. Larson, “An Exploratory Study of User Goals and Strategies in Podcast Search”, FGIR Workshop Information Retrieval (WIR2008), Würzburg, Germany, 2008.

B. Huurnink, K. Hofmann, and M. de Rijke, “Assessing Concept Selection for Video Retrieval”, MIR 2008, Vancouver, Canada, 2008.

V. B. Jijkoun, K. Hofmann, D. Ahn, M. A. Khalid, J. van Rantwijk, M. de Rijke, and E. F. Tjong Kim Sang, “The University of Amsterdam’s Question Answering System at QA@CLEF 2007”, Advances in Multilingual and Multimodal Information Retrieval, vol. 5152, pp. 344-351, 2008.

K. Hofmann, K. Balog, T. Bogers, and M. de Rijke, “Integrating Contextual Factors into Topic-Centric Retrieval Models for Finding Similar Experts”, SIGIR 2008 Workshop fCHER, 2008.

H. Holz, K. Hofmann, and C. Reed, “Unobtrusive User Modeling for Adaptive Web-Based Systems”, Personalization Techniques and Recommender Systems, vol. 70: WSP, 2008.

K. Balog, K. Hofmann, W. Weerkamp, and M. de Rijke, “Query and Document Models for Enterprise Search”, The Sixteenth Text Retrieval Conference (TREC 2007): NIST, 2008.

2007

K. Hofmann, V. B. Jijkoun, M. A. Khalid, J. van Rantwijk, and E. F. Tjong Kim Sang, “The University of Amsterdam at the TREC 2007 QA Track”. TREC 2007, NIST, 2007.

K. Balog, K. Hofmann, W. Weerkamp, and de Rijke, “The University of Amsterdam at the TREC 2007 Enterprise Track”. TREC 2007, NIST, 2007.

V. B. Jijkoun, K. Hofmann, D. Ahn, M. A. Khalid, J. van Rantwijk, M. de Rijke, and E. F. Tjong Kim Sang, “The University of Amsterdam at CLEF@QA 2007”. CLEF, 2007.

K. Hofmann and W. Weerkamp, “Web Corpus Cleaning using Content and Structure”. In Fairon C., Naerts H., Kilgarrif A., de Schryver G. M. (Eds.), Building and Exploring Web Corpora, vol. 4,  Cahiers du Central, 145-154, UCL Presses.

K. Hofmann and E. F. Tjong Kim Sang, “Automatic Extension of Non-English WordNets”. SigIR 2007, 833-834.

H. Holz, K. Hofmann, and C. Reed, “Unobtrusive User Modeling for Adaptive Web-Based Systems”. International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI). 21 (2), 225-244.

E. F. Tjong Kim Sang and K. Hofmann, “Automatic Extraction of Dutch Hypernym-Hyponym Pairs”. In Proceedings of CLIN-2006, Leuven, Belgium, 2007.

P. Vossen P., K. Hofmann, M. de Rijke, E. F. Tjong Kim Sang, and K. Deschacht, “The Cornetto Database: Architecture and User-Scenarios”. DIR 2007, 89-96.

2006

K. Hofmann, C. Reed, and H. Holz, “Unobtrusive Data Collection for Web-Based Social Navigation”. In S. Weibelzahl & A. Cristea (Eds.), Proc. Workshops AH2006, 570-575, 2006.

2005

K. Hofmann “Subsymbolic User Modeling in Adaptive Hypermedia”. 12th International Conference on Artificial Intelligence in Education Young Researchers Track, pp. 63-68, 2005.

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