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Results: 44
Number of items: 44
  • Open Access
    Kenter, T., Borisov, A., Van Gysel, C., Dehghani, M., de Rijke, M., & Mitra, B. (2017). Neural Networks for Information Retrieval. In SIGIR'17 : proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval: August 7-11, 2017, Shinjuku, Tokyo, Japan (pp. 1403-1406). Association for Computing Machinery. https://doi.org/10.1145/3077136.3082062
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    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
  • Open Access
    Dehghani, M., Severyn, A., Rothe, S., & Kamps, J. (2017). Learning to Learn from Weak Supervision by Full Supervision. Paper presented at Workshop on Meta-Learning (MetaLearn 2017), Long Beach, California, United States. https://meta-learn.github.io/2017/papers/metalearn17_dehghani.pdf
  • Open Access
    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
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., & Marx, M. (2016). Generalized Group Profiling for Content Customization. In CHIIR'16: proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval : March 13-17, 2016, Carrboro, NC, USA (pp. 245-248). The Association for Computing Machinery. https://doi.org/10.1145/2854946.2855003
  • Open Access
    Dehghani, M., Azarbonyad, H., Kamps, J., Hiemstra, D., & Marx, M. (2016). Inoculating Relevance Feedback Against Poison Pills. Abstract from 15th Dutch-Belgian Information Retrieval Workshop (DIR), Delft, Netherlands.
  • Open Access
    Hashemi, S. H., Dehghani, M., & Kamps, J. (2016). Parsimonious User and Group Profiling in Venue Recommendation. In E. M. Voorhees, & A. Ellis (Eds.), The Twenty-Fourth Text REtrieval Conference (TREC 2015) Proceedings (NIST Special Publication; No. SP 500-319). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec24/papers/UAmsterdam-CX.pdf
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