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Results: 44
Number of items: 44
  • Open Access
    Dehghani, M., & Kamps, J. (2018). Learning to Rank from Samples of Variable Quality. In The First International Workshop on Learning from Limited or Noisy Data for Information Retrieval: July 12th, 2018, Ann Arbor, Michigan, USA, co-located with SIGIR 2018. Accepted papers ArXiv. https://doi.org/10.48550/arXiv.1806.08694
  • Open Access
    Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. In M. Atzmueller, & W. Duivesteijn (Eds.), 30th Benelux Conference on Artificial Intelligence: BNAIC 2018 Preproceedings : November 8-9, 2018, Jheronimus Academy of Data Science (JADS), 's-Hertogenbosch, The Netherlands (pp. 43-44). (BNAIC; Vol. 30). Jheronimus Academy of Data Science.
  • Open Access
    Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. 17. Abstract from 17th Dutch-Belgian Information Retrieval Workshop, Leiden, Netherlands. https://arxiv.org/abs/1812.04265
  • Open Access
    Zamani, H., Dehghani, M., Croft, W. B., Learned-Miller, E., & Kamps, J. (2018). From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted Indexing. In CIKM'18: proceedings of the 2018 ACM International Conference on Information and Knowledge Management : October 22-26, 2018, Torino, Italy (pp. 497-506). The Association for Computing Machinery. https://doi.org/10.1145/3269206.3271800
  • Dehghani, M., Rothe, S., Alfonseca , E., & Fleury, P. (2017). Learning to Attend, Copy, and Generate for Session-Based Query Suggestion. In CIKM'17 : proceedings of the 2017 ACM on Conference on Information and Knowledge Management: November 6-10, 2017, Singapore, Singapore (pp. 1747-1756). Association for Computing Machinery. https://doi.org/10.1145/3132847.3133010
  • 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., 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., 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
  • 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., Zamani, H., Severyn, A., Kamps, J., & Croft, W. B. (2017). Neural Ranking Models with Weak Supervision. Abstract from 16th Dutch-Belgian Information Retrieval Workshop, Hilversum, Netherlands. https://marijnkoolen.github.io/dir2017/accepted-submissions/DIR2017_paper_3.pdf
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