Search results
Results: 448
Number of items: 448
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Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., & Marx, M. (2017). Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search. In CHIIR'17 : proceedings of the 2017 Conference Human Information Interaction and Retrieval : March 7-11, 2017, Oslo, Norway (pp. 369-372). The Association for Computing Machinery. https://doi.org/10.1145/3020165.3022155 -
Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2017). Significant Words Language Models for Contextual Suggestion. In E. M. Voorhees, & A. Ellis (Eds.), The Twenty-Fifth Text REtrieval Conference (TREC 2016) Proceedings (NIST Special Publication; No. SP 500-312). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec25/papers/ExPoSe-CX.pdf -
Azarbonyad, H., Dehghani, M., Beelen, K., Arkut, A., Marx, M., & Kamps, J. (2017). Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. Abstract from 16th Dutch-Belgian Information Retrieval Workshop, Hilversum, Netherlands. https://marijnkoolen.github.io/dir2017/accepted-submissions/DIR2017_paper_10.pdf -
Azarbonyad, H., Dehghani, M., Kenter, T., Marx, M., Kamps, J., & de Rijke, M. (2017). Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity. In J. M. Jose, C. Hauff, I. S. Altıngovde, D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), Advances in Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8–13, 2017 : proceedings (pp. 68-81). (Lecture Notes in Computer Science; Vol. 10193). Springer. https://doi.org/10.1007/978-3-319-56608-5_6 -
Dehghani, M., Jagfeld, G., Azarbonyad, H., Olieman, A., Kamps, J., & Marx, M. (2017). On Search Powered Navigation. In ICTIR'17: proceedings of the 2017 ACM SIGIR International Conference on the Theory of Information Retrieval: October 1-4, 2017, Amsterdam, the Netherlands (pp. 317-320). Association for Computing Machinery. https://doi.org/10.1145/3121050.3121105 -
Dehghani, M., Azarbonyad, H., Kamps, J., & de Rijke, M. (2017). Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking. In Neu-IR: Workshop on Neural Information Retrieval: accepted papers ArXiv. https://arxiv.org/abs/1707.07605 -
Hashemi, S. H., & Kamps, J. (2017). Where To Go Next? Exploiting Behavioral User Models in Smart Environments. In UMAP'17: adjunct publication of the 25th Conference on User Modeling, Adaptation and Personalization : July 9-12, 2017, Bratislava, Slovakia (pp. 50-58). The Association for Computing Machinery. https://doi.org/10.1145/3079628.3079687 -
Olieman, A., Beelen, K., van Lange, M., Kamps, J., & Marx, M. (2017). Riches of the Poor: Using Crummy Entity Linkers for Interactive Search in Digital Humanities. Abstract from 16th Dutch-Belgian Information Retrieval Workshop, Hilversum, Netherlands. https://marijnkoolen.github.io/dir2017/accepted-submissions/DIR2017_paper_4.pdf -
Azarbonyad, H., Dehghani, M., Beelen, K., Arkut, A., Marx, M., & Kamps, J. (2017). Words are Malleable: Computing Semantic Shifts in Political and Media Discourse. In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp. 1509-1518). Association for Computing Machinery. https://doi.org/10.1145/3132847.3132878 -
Fang, H., Kamps, J., Kanoulas, E., de Rijke, M., & Yilmaz, E. (2017). Report on the 2017 ACM SIGIR International Conference Theory of Information Retrieval (ICTIR'17): conference report. SIGIR Forum, 51(3), 78-87. https://doi.org/10.1145/3190580.3190591
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