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Results: 1,025
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  • Peetz, M. H., Meij, E., & de Rijke, M. (2014). Using temporal bursts for query modeling. Information Retrieval, 17(1), 74-108. https://doi.org/10.1007/s10791-013-9227-2
  • Cai, F., Liang, S., & de Rijke, M. (2014). Personalized document re-ranking based on Bayesian probabilistic matrix factorization. In SIGIR '14: proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval: July 6-11 2014, Gold Coast, Queensland, Australia (pp. 835-838). ACM. https://doi.org/10.1145/2600428.2609453
  • Zoghi, M., Whiteson, S., de Rijke, M., & Munos, R. (2014). Relative confidence sampling for efficient on-line ranker evaluation. In WSDM '14: proceedings of the 7th ACM International Conference on Web Search and Data Mining: February 24-28, 2014, New York, New York, USA (pp. 73-82). ACM. https://doi.org/10.1145/2556195.2556256
  • Hofmann, K., Whiteson, S., Schuth, A., & de Rijke, M. (2014). Learning to Rank for Information Retrieval from User Interactions. ACM SIGWEB Newsletter, 2014(Spring), Article 5. https://doi.org/10.1145/2591453.2591458
  • Graus, D., Odijk, D., Tsagkias, M., Weerkamp, W., & de Rijke, M. (2014). Semanticizing Search Engine Queries: The University of Amsterdam at the ERD 2014 Challenge. In ERD'14: proceedings of the First ACM International Workshop on Entity Recognition & Disambiguation: July 11, 2014, Gold Coast, Queensland, Australia (pp. 69-73). Association for Computing Machinery. https://doi.org/10.1145/2633211.2634354
  • Huijnen, P., Laan, F., de Rijke, M., & Pieters, T. (2014). A digital humanities approach to the history of science: eugenics revisited in hidden debates by means of semantic text mining. In A. Nadamoto, A. Jatowt, A. Wierzbicki, & J. L. Leidner (Eds.), Social Informatics: SocInfo 2013 International Workshops QMC and HISTOINFORMATICS: Kyoto, Japan, November 25, 2013: revised selected papers (pp. 71-85). (Lecture Notes in Computer Science; Vol. 8359). Springer. https://doi.org/10.1007/978-3-642-55285-4_6
  • Liang, S., Ren, Z., & de Rijke, M. (2014). The impact of semantic document expansion on cluster-based fusion for microblog search. In M. de Rijke, T. Kenter, A. P. de Vries, C. X. 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 (pp. 493-499). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-06028-6_47
  • Voskarides, N., Odijk, D., Tsagkias, M., Weerkamp, W., & de Rijke, M. (2014). Query-dependent contextualization of streaming data. In M. de Rijke, T. Kenter, A. P. de Vries, C. X. 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 (pp. 706-712). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-06028-6_80
  • Schuth, A., Sietsma, F., Whiteson, S., & de Rijke, M. (2014). Optimizing Base Rankers Using Clicks: A Case Study using BM25. In M. de Rijke, T. Kenter, A. P. de Vries, C. X. 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 (pp. 75-87). (Lecture Notes in Computer Science; Vol. 8416). Springer. https://doi.org/10.1007/978-3-319-06028-6_7
  • Hofmann, K., Schuth, A., Bellogín, A., & de Rijke, M. (2014). Effects of position bias on click-based recommender evaluation. In M. de Rijke, T. Kenter, A. P. de Vries, C. X. 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 (pp. 624-630). (Lecture Notes in Computer Science). Springer. https://doi.org/10.1007/978-3-319-06028-6_67
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