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Results: 96
Number of items: 96
  • Aliannejadi, M., & Crestani, F. (2020). Venue suggestion using social-centric scores. In L. Boratto, S. Faralli, M. Marras, & G. Stilo (Eds.), Bias and Social Aspects in Search and Recommendation: First International Workshop, BIAS 2020, Lisbon, Portugal, April 14 : proceedings (pp. 127-142). (Communications in Computer and Information Science; Vol. 1245). Springer. https://doi.org/10.1007/978-3-030-52485-2_12
  • Open Access
    Krasakis, A. M., Aliannejadi, M., Voskarides, N., & Kanoulas, E. (2020). Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search. In ICTIR'20: proceedings of the 2020 ACM SIGIR International Conference on Theory of Information Retrieval : September 14-17, 2020, Virtual Event, Norway (pp. 129-132). The Association for Computing Machinery. https://doi.org/10.1145/3409256.3409817
  • Open Access
    Aliannejadi, M., Landoni, M., Huibers, T., Murgia, E., & Pera, M. S. (2020). Say it with Emojis: Co-designing Relevance Cues for Searching in the Classroom. In I. Cantador, M. Chevalier, M. Melucci, & J. Mothe (Eds.), Proceedings of the Joint Conference of the Information Retrieval Communities in Europe (CIRCLE 2020): Samatan, Gers, France, July 6-9, 2020 Article 30 (CEUR Workshop Proceedings; Vol. 2621). CEUR-WS. http://ceur-ws.org/Vol-2621/CIRCLE20_30.pdf
  • Open Access
    Aliannejadi, M., Chakraborty, M., Ríssola, E. A., & Crestani, F. (2020). Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval. In CHIIR '20: proceedings of the 2020 Conference on Human Information Interaction and Retrieval : March 14-18, 2020, Vancouver, BC, Canada (pp. 33-42). The Association for Computing Machinery. https://doi.org/10.1145/3343413.3377968
  • Open Access
    Aliannejadi, M., Kiseleva, J., Chuklin, A., Dalton, J., & Burtsev, M. (2020). ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ). ( v1 ed.) ArXiv. https://doi.org/10.48550/arXiv.2009.11352
  • Bonab, H., Aliannejadi, M., Foley, J., & Allan, J. (2019). Incorporating hierarchical domain information to disambiguate very short queries. In ICTIR'19: proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval : October 2-5, 2019, Santa Clara, CA, USA (pp. 51-54). The Association for Computing Machinery. https://doi.org/10.1145/3341981.3344251
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