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Dr. M. (Mohammad) Alian Nejadi

Faculty of Science
Informatics Institute
Visiting address
  • Science Park 904
Postal address
  • Postbus 94323
    1090 GH Amsterdam
Contact details
  • Publications

    2024

    • Abbasiantaeb, Z., Yuan, Y., Kanoulas, E., & Alian Nejadi, M. (2024). Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions. In The 17th ACM International Conference on Web Search and Data Mining
    • Siro, C., Aliannejadi, M., & de Rijke, M. (2024). Understanding and Predicting User Satisfaction with Conversational Recommender Systems. ACM Transactions on Information Systems, 42(2), Article 55. https://doi.org/10.1145/3624989 [details]

    2023

    • Askari, A., Aliannejadi, M., Abolghasemi, A., Kanoulas, E., & Verberne, S. (2023). CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 25-35). Association for Computing Machinery. https://doi.org/10.1145/3583780.3614812 [details]
    • Askari, A., Aliannejadi, M., Kanoulas, E., & Verberne, S. (2023). A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 5311-5315). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615111 [details]
    • Bhargav, S., Aliannejadi, M., & Kanoulas, E. (2023). Market-Aware Models for Efficient Cross-Market Recommendation. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. I, pp. 134-149). (Lecture Notes in Computer Science; Vol. 13980). Springer. https://doi.org/10.1007/978-3-031-28244-7_9 [details]
    • Ghasemi, N., Aliannejadi, M., Bonab, H., Kanoulas, E., de Vries, A. P., Allan, J., & Hiemstra, D. (2023). Cross-Market Product-Related Question Answering. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 1293-1302). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591658 [details]
    • Meng, C., Aliannejadi, M., & de Rijke, M. (2023). Performance Prediction for Conversational Search Using Perplexities of Query Rewrites. In G. Faggioli, N. Ferro, J. Mothe, & F. Raiber (Eds.), Proceedings of the The QPP++ 2023: Query Performance Prediction and Its Evaluation in New Tasks Workshop: co-located with The 45th European Conference on Information Retrieval (ECIR) : Dublin, Ireland, April 6th, 2023 (pp. 25-28). (CEUR Workshop Proceedings; Vol. 3366). CEUR-WS. https://ceur-ws.org/Vol-3366/paper-05.pdf [details]
    • Meng, C., Aliannejadi, M., & de Rijke, M. (2023). System Initiative Prediction for Multi-turn Conversational Information Seeking. In CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management : October 21-25, 2023, Birmingham, England (pp. 1807-1817). Association for Computing Machinery. https://doi.org/10.1145/3583780.3615070 [details]
    • Meng, C., Arabzadeh, N., Aliannejadi, M., & de Rijke, M. (2023). Query Performance Prediction: From Ad-hoc to Conversational Search. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 2583-2593). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591919 [details]
    • Murgia, E., Abbasiantaeb, Z., Aliannejadi, M., Huibers, T., Landoni, M., & Pera, M. S. (2023). ChatGPT in the Classroom: A Preliminary Exploration on the Feasibility of Adapting ChatGPT to Support Children's Information Discovery. In Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization: UMAP 2023 : June 26-30, 2023, Limassol, Cyprus (pp. 22-27). Association for Computing Machinery. https://doi.org/10.1145/3563359.3597399 [details]
    • Owoicho, P., Sekulić, I., Aliannejadi, M., Dalton, J., & Crestani, F. (2023). Exploiting Simulated User Feedback for Conversational Search: Ranking, Rewriting, and Beyond. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 632-642). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591683 [details]
    • Pera, M. S., Murgia, E., Landoni, M., Huibers, T., & Aliannejadi, M. (2023). Where a Little Change Makes a Big Difference: A Preliminary Exploration of Children’s Queries. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, U. Kruschwitz, & A. Caputo (Eds.), Advances in Information Retrieval: 45th European Conference on Information Retrieval, ECIR 2023, Dublin, Ireland, April 2–6, 2023 : proceedings (Vol. II, pp. 522-533). (Lecture Notes in Computer Science; Vol. 13981). Springer. https://doi.org/10.1007/978-3-031-28238-6_43 [details]
    • Rostami, M., Aliannejadi, M., & Oussalah, M. (2023). Towards Health-Aware Fairness in Food Recipe Recommendation. In Proceedings of the seventeenth ACM Conference on Recommender Systems: Singapore, 18th-22nd September 2023 (pp. 1184-1189). Association for Computing Machinery. https://doi.org/10.1145/3604915.3610659 [details]
    • Sarvi, F., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). How to Make an Outlier? Studying the Effect of Presentational Features on the Outlierness of Items in Product Search Results. In CHIIR'23: proceedings of the 2023 Conference on Human Information Interaction and Retrieval : March 19-23, 2023, Austin, Texas, USA (pp. 346-350). The Association for Computing Machinery. https://doi.org/10.1145/3576840.3578278 [details]
    • Sarvi, F., Vardasbi, A., Aliannejadi, M., Schelter, S., & de Rijke, M. (2023). On the Impact of Outlier Bias on User Clicks. In SIGIR '23: Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 23-27, 2023, Taipei, Taiwan (pp. 18-27). Association for Computing Machinery. https://doi.org/10.1145/3539618.3591745 [details]
    • Zou, J., Aliannejadi, M., Kanoulas, E., Pera, M. S., & Liu, Y. (2023). Users Meet Clarifying Questions: Toward a Better Understanding of User Interactions for Search Clarification. ACM Transactions on Information Systems, 41(1), Article 16. https://doi.org/10.1145/3524110 [details]
    • Zou, J., Sun, A., Long, C., Aliannejadi, M., & Kanoulas, E. (2023). Asking Clarifying Questions: To benefit or to disturb users in Web search? Information Processing and Management, 60(2), Article 103176. https://doi.org/10.1016/j.ipm.2022.103176 [details]

    2022

    • Aliannejadi, M., & Trippas, J. R. (2022). Conversational Information Seeking: Theory and Evaluation: CHIIR 2022 Half Day Tutorial. In CHIIR '22: proceedings of the 2022 Conference on Human Information Interaction and Retrieval : March 14-18, 2022, Regensburg, Germany (pp. 365-366). The Association for Computing Machinery. https://doi.org/10.1145/3498366.3505843 [details]
    • Aliannejadi, M., Huibers, T., Landoni, M., Murgia, E., & Pera, M. S. (2022). The Effect of Prolonged Exposure to Online Education on a Classroom Search Companion. In A. Barrón-Cedeño, G. Da San Martino, M. Degli Esposti, F. Sebastiani, C. Macdonald, G. Pasi, A. Hanbury, M. Potthast, G. Faggioli, & N. Ferro (Eds.), Experimental IR Meets Multilinguality, Multimodality, and Interaction: 13th International Conference of the CLEF Association, CLEF 2022, Bologna, Italy, September 5–8, 2022 : proceedings (pp. 62-78). (Lecture Notes in Computer Science; Vol. 13390). Springer. https://doi.org/10.1007/978-3-031-13643-6_5 [details]
    • Azzopardi, L., Aliannejadi, M., & Kanoulas, E. (2022). Towards Building Economic Models of Conversational Search. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. II, pp. 31-38). (Lecture Notes in Computer Science; Vol. 13186). Springer. https://doi.org/10.1007/978-3-030-99739-7_4 [details]
    • Kiseleva, Y., Skrynnik, A., Zholus, A., Mohanty, S., Arabzadeh, N., Côté, M-A., Alian Nejadi, M., Teruel, M., Li, Z., Burtsev, M., ter Hoeve, M. A., Volovikova, Z., I. Panov, A., Sun, Y., Srinet, K., Szlam, A., & Awadallah, A. H. (2022). IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022. In Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) Neural Information Processing Systems Foundation.
    • Landoni, M., Aliannejadi, M., Huibers, T., Murgia, E., & Pera, M. S. (2022). Have a Clue! The Effect of Visual Cues on Children’s Search Behavior in the Classroom. In CHIIR '22: proceedings of the 2022 Conference on Human Information Interaction and Retrieval : March 14-18, 2022, Regensburg, Germany (pp. 310-314). The Association for Computing Machinery. Advance online publication. https://doi.org/10.1145/3498366.3505845 [details]
    • Mele, I., Muntean, C. I., Aliannejadi, M., & Voskarides, N. (2022). The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS). In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 5173-5174). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557938 [details]
    • Naghiaei, M., Rahmani, H. A., Aliannejadi, M., & Sonboli, N. (2022). Towards Confidence-aware Calibrated Recommendation. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 4344-4348). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557713 [details]
    • Rahmani, H. A., Aliannejadi, M., Baratchi, M., & Crestani, F. (2022). A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. ACM Transactions on Information Systems, 40(4), Article 88. Advance online publication. https://doi.org/10.1145/3508478 [details]
    • Rahmani, H. A., Naghiaei, M., Dehghan, M., & Aliannejadi, M. (2022). Experiments on Generalizability of User-Oriented Fairness in Recommender Systems. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 2755-2764). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531718 [details]
    • Ríssola, E. A., Aliannejadi, M., & Crestani, F. (2022). Mental disorders on online social media through the lens of language and behaviour: Analysis and visualisation. Information Processing and Management, 59(3), Article 102890. https://doi.org/10.1016/j.ipm.2022.102890 [details]
    • Sarvi, F., Heuss, M., Aliannejadi, M., Schelter, S., & de Rijke, M. (2022). Understanding and Mitigating the Effect of Outliers in Fair Ranking. In WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining : February 21-25, 2022 : virtual event, Tempe, AZ, USA (pp. 861-869). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498441 [details]
    • Sekulić, I., Aliannejadi, M., & Crestani, F. (2022). Evaluating Mixed-initiative Conversational Search Systems via User Simulation. In WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining : February 21-25, 2022 : virtual event, Tempe, AZ, USA (pp. 888-896). Association for Computing Machinery. https://doi.org/10.1145/3488560.3498440 [details]
    • Sekulić, I., Aliannejadi, M., & Crestani, F. (2022). Exploiting Document-Based Features for Clarification in Conversational Search. In M. Hagen, S. Verberne, C. Macdonald, C. Seifert, K. Balog, K. Nørvåg, & V. Setty (Eds.), Advances in Information Retrieval: 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10–14, 2022 : proceedings (Vol. I, pp. 413-427). (Lecture Notes in Computer Science; Vol. 13185). Springer. https://doi.org/10.1007/978-3-030-99736-6_28 [details]
    • Seyedhoseinzadeh, K., Rahmani, H. A., Afsharchi, M., & Aliannejadi, M. (2022). Leveraging Social Influence based on Users Activity Centers for Point-of-Interest Recommendation. Information Processing & Management, 59(2), Article 102858. Advance online publication. https://doi.org/10.1016/j.ipm.2021.102858 [details]
    • Siro, C., Aliannejadi, M., & de Rijke, M. (2022). Understanding User Satisfaction with Task-oriented Dialogue Systems. In SIGIR '22: proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2022, Madrid, Spain (pp. 2018-2023). The Association for Computing Machinery. https://doi.org/10.1145/3477495.3531798 [details]

    2021

    • Alian Nejadi, M., Crestani, F., Huibers, T., Landoni, M., Murgia, E., & Pera, M. S. (2021). The Impact of User Demographics and Task Types on Cross-App Mobile Search. In Flexible Query Answering Systems - 14th International Conference, FQAS 2021, Bratislava, Slovakia, September 19-24, 2021, Proceedings
    • Aliannejadi, M., Azzopardi, L., Zamani, H., Kanoulas, E., Thomas, P., & Craswell, N. (2021). Analysing Mixed Initiatives and Search Strategies during Conversational Search. In CIKM '21: proceedings of the 30th ACM International Conference on Information & Knowledge Management : November 1-5, 2021, virtual event, Australia (pp. 16-26). The Association for Computing Machinery. https://doi.org/10.1145/3459637.3482231 [details]
    • Aliannejadi, M., Bonab, H., Vardasbi, A., Kanoulas, E., Allan, J., & Murdock, V. (2021). XMRec: Workshop on Cross-Market Recommendation. In RECSYS 2021: 15th ACM Conference on Recommender Systems : 27th September-1st October 2021, Amsterdam, Netherlands (pp. 817-818). The Association for Computing Machinery. https://doi.org/10.1145/3460231.3470934 [details]
    • Aliannejadi, M., Kiseleva, J., Chuklin, A., Dalton, J., & Burtsev, M. (2021). Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions. In M-C. Moens, X. Huang, L. Specia, & S. W. Yih (Eds.), 2021 Conference on Empirical Methods in Natural Language Processing: EMNLP 2021 : proceedings of the conference : November 7-11, 2021 (pp. 4473–4484). The Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.367 [details]
    • Aliannejadi, M., Landoni, M., Huibers, T., Murgia, E., & Pera, M. S. (2021). Children's Perspective on How Emojis Help Them to Recognise Relevant Results: Do Actions Speak Louder Than Words? In CHIIR '21: proceedings of the 2021 Conference on Human Information Interaction and Retrieval : March 14-19, 2021, Canberra, Australia (pp. 301-305). The Association for Computing Machinery. https://doi.org/10.1145/3406522.3446058 [details]
    • Aliannejadi, M., Zamani, H., Crestani, F., & Croft, W. B. (2021). Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants. ACM Transactions on Information Systems, 39(3), Article 29. Advance online publication. https://doi.org/10.1145/3447678 [details]
    • Bonab, H., Aliannejadi, M., Vardasbi, A., Kanoulas, E., & Allan, J. (2021). Cross-Market Product Recommendation. In CIKM '21: proceedings of the 30th ACM International Conference on Information & Knowledge Management : November 1-5, 2021, virtual event, Australia (pp. 110-119). The Association for Computing Machinery. https://doi.org/10.1145/3459637.3482493 [details]
    • Kiseleva, Y., Li, Z., Alian Nejadi, M., Mohanty, S., ter Hoeve, M. A., Burtsev, M., Skrynnik, A., Zholus, A., I. Panov, A., Srinet, K., Szlam, A., Sun, Y., Hofmann, K., Côté, M-A., Awadallah, A. H., Abdrazakov, L., Churin, I., Manggala, P., Naszádi, K., ... Kim, T. (2021). Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021. In Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS) Neural Information Processing Systems Foundation.
    • Landoni, M., Alian Nejadi, M., Huibers, T., Murgia, E., & Pera, M. S. (2021). Right Way, Right Time: Towards a Better Comprehension of Young Students' Needs when Looking for Relevant Search Results. In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization, UMAP 2021, Utrecht, The Netherlands, June, 21-25, 2021
    • Landoni, M., Huibers, T., Alian Nejadi, M., Murgia, E., & Pera, M. S. (2021). Getting to Know You: Search Logs and Expert Grading to Define Children's Search Roles in the Classroom. In Proceedings of the Second International Conference on Design of Experimental Search & Information REtrieval Systems, Padova, Italy, September 15-18, 2021
    • Mele, I., Muntean, C. I., Alian Nejadi, M., & Voskarides, N. (2021). MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop. In Advances in Information Retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part II
    • Sekulic, I., Alian Nejadi, M., & Crestani, F. (2021). Towards Facet-Driven Generation of Clarifying Questions for Conversational Search. In ICTIR '21: The 2021 ACM SIGIR International Conference on the Theory of Information Retrieval, Virtual Event, Canada, July 11, 2021
    • Sekulić, I., Aliannejadi, M., & Crestani, F. (2021). User Engagement Prediction for Clarification in Search. In D. Hiemstra, M-F. Moens, J. Mothe, R. Perego, M. Potthast, & F. Sebastiani (Eds.), Advances in Information Retrieval: 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28–April 1, 2021 : proceedings (Vol. I, pp. 619-633). (Lecture Notes in Computer Science; Vol. 12656). Springer. https://doi.org/10.1007/978-3-030-72113-8_41 [details]
    • Yousefnezhad, M., Hamidzadeh, J., & Aliannejadi, M. (2021). Ensemble classification for intrusion detection via feature extraction based on deep Learning. Soft Computing, 25(20), 12667–12683. Advance online publication. https://doi.org/10.1007/s00500-021-06067-8 [details]

    2020

    • 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 [details]
    • 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 [details]
    • Costa, L., Aliannejadi, M., & Crestani, F. (2020). A Tool for Conducting User Studies on Mobile Devices. In CHIIR '20: proceedings of the 2020 Conference on Human Information Interaction and Retrieval : March 14-18, 2020, Vancouver, BC, Canada (pp. 462-466). The Association for Computing Machinery. https://doi.org/10.1145/3343413.3377985 [details]
    • Hashemi, H., Aliannejadi, M., Zamani, H., & Croft, W. B. (2020). ANTIQUE: A Non-Factoid Question Answering Benchmark. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings (Vol. II, pp. 166-173). (Lecture Notes in Computer Science; Vol. 12036). Springer. https://doi.org/10.1007/978-3-030-45442-5_21 [details]
    • 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 [details]
    • Rahmani, H. A., Aliannejadi, M., Ahmadian, S., Baratchi, M., Afsharchi, M., & Crestani, F. (2020). LGLMF: Local Geographical Based Logistic Matrix Factorization Model for POI Recommendation. In F. L. Wang, H. Xie, W. Lam, A. Sun, L.-W. Ku, T. Hao, W. Chen, T.-L. Wong, & X. Tao (Eds.), Information Retrieval Technology: 15th Asia Information Retrieval Societies Conference, AIRS 2019, Hong Kong, China, November 7–9, 2019 : proceedings (pp. 66-78). (Lecture Notes in Computer Science; Vol. 12004). Springer. https://doi.org/10.1007/978-3-030-42835-8_7 [details]
    • Rahmani, H. A., Aliannejadi, M., Baratchi, M., & Crestani, F. (2020). Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings (Vol. I, pp. 205-219). (Lecture Notes in Computer Science; Vol. 12035). Springer. https://doi.org/10.1007/978-3-030-45439-5_14 [details]
    • Ríssola, E. A., Aliannejadi, M., & Crestani, F. (2020). Beyond Modelling: Understanding Mental Disorders in Online Social Media. In J. M. Jose, E. Yilmaz, J. Magalhães, P. Castells, N. Ferro, M. J. Silva, & F. Martins (Eds.), Advances in Information Retrieval: 42nd European Conference on IR Research, ECIR 2020, Lisbon, Portugal, April 14-17, 2020 : proceedings (Vol. I, pp. 296-310). (Lecture Notes in Computer Science; Vol. 12035). Springer. https://doi.org/10.1007/978-3-030-45439-5_20 [details]

    2019

    • Aliannejadi, M., Crestani, F., Zamani, H., & Bruce Croft, W. (2019). Asking clarifying questions in open-domain information-seeking conversations. In SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 475-484). Association for Computing Machinery, Inc. https://doi.org/10.1145/3331184.3331265
    • Aliannejadi, M., Harvey, M., Costa, L., Pointon, M., & Crestani, F. (2019). Understanding mobile search task relevance and user behaviour in context. In CHIIR 2019 - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval (pp. 143-151). Association for Computing Machinery, Inc. https://doi.org/10.1145/3295750.3298923
    • Aliannejadi, M., Rafailidis, D., & Crestani, F. (2019). A Joint Two-Phase Time-Sensitive Regularized Collaborative Ranking Model for Point of Interest Recommendation. IEEE Transactions on Knowledge and Data Engineering, 32(6), 1050-1063. https://doi.org/10.1109/TKDE.2019.2903463
    • 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 [details]
    • Rahmani, H. A., Aliannejadi, M., Zadeh, R. M., Baratchi, M., Afsharchi, M., & Crestani, F. (2019). Category-aware location embedding for point-of-interest recommendation. 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. 173-176). The Association for Computing Machinery. https://doi.org/10.1145/3341981.3344240

    2018

    • Aliannejadi, M., & Crestani, F. (2018). Personalized context-aware point of interest recommendation. ACM Transactions on Information Systems, 36(4), Article 45. https://doi.org/10.1145/3231933
    • Aliannejadi, M., Crestani, F., Zamani, H., & Croft, W. B. (2018). In situ and context-aware target apps selection for unified mobile search. In N. Paton, S. Candan, H. Wang, J. Allan, R. Agrawal, A. Labrinidis, A. Cuzzocrea, M. Zaki, D. Srivastava, A. Broder, & A. Schuster (Eds.), CIKM 2018 - Proceedings of the 27th ACM International Conference on Information and Knowledge Management (pp. 1383-1392). Association for Computing Machinery. https://doi.org/10.1145/3269206.3271679
    • Aliannejadi, M., Rafailidis, D., & Crestani, F. (2018). A collaborative ranking model with multiple location-based similarities for venue suggestion. In ICTIR 2018 - Proceedings of the 2018 ACM SIGIR International Conference on the Theory of Information Retrieval (pp. 19-26). Association for Computing Machinery, Inc. https://doi.org/10.1145/3234944.3234945
    • Aliannejadi, M., Zamani, H., Crestani, F., & Croft, W. B. (2018). Target apps selection: Towards a unified search framework for mobile devices. In 41st International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2018 (pp. 215-224). Association for Computing Machinery, Inc. https://doi.org/10.1145/3209978.3210039

    2017

    • Aliannejadi, M., & Crestani, F. (2017). Venue appropriateness prediction for personalized context-Aware venue suggestion. In SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1177-1180). (SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3077136.3080754
    • Aliannejadi, M., Mele, I., & Crestani, F. (2017). A cross-platform collection for contextual suggestion. In SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1269-1272). (SIGIR 2017 - Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval). Association for Computing Machinery, Inc. https://doi.org/10.1145/3077136.3080752
    • Aliannejadi, M., Mele, I., & Crestani, F. (2017). Personalized ranking for context-aware venue suggestion. In 32nd Annual ACM Symposium on Applied Computing, SAC 2017 (pp. 960-962). (Proceedings of the ACM Symposium on Applied Computing; Vol. Part F128005). Association for Computing Machinery. https://doi.org/10.1145/3019612.3019876
    • Aliannejadi, M., Rafailidis, D., & Crestani, F. (2017). Personalized keyword boosting for venue suggestion based on multiple LBSNs. In C. Hauff, J. M. Jose, D. Albakour, I. S. Altingovde, J. Tait, D. Song, & S. Watt (Eds.), Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Proceedings (pp. 291-303). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10193 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-56608-5_23

    2016

    • Aliannejadi, M., Mele, I., & Crestani, F. (2016). User model enrichment for venue recommendation. In Y. Chang, J.-R. Wen, Z. Dou, X. Zhao, S. Ma, Y. Liu, & M. Zhang (Eds.), Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Proceedings (pp. 212-223). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9994 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-48051-0_16

    2014

    • Aliannejadi, M., Khadivi, S., Ghidary, S. S., & Bokaei, M. H. (2014). Discriminative spoken language understanding using statistical machine translation alignment models. In A. Movaghar, M. Jamzad, & H. Asadi (Eds.), Artificial Intelligence and Signal Processing - International Symposium, AISP 2013, Revised Selected Papers (pp. 194-202). (Communications in Computer and Information Science; Vol. 427). Springer. https://doi.org/10.1007/978-3-319-10849-0_20
    • Keramati, A., Jafari-Marandi, R., Aliannejadi, M., Ahmadian, I., Mozaffari, M., & Abbasi, U. (2014). Improved churn prediction in telecommunication industry using data mining techniques. Applied Soft Computing Journal, 24, 994-1012. https://doi.org/10.1016/j.asoc.2014.08.041

    2023

    • Yoshioka, M., Kiseleva, J., & Aliannejadi, M. (2023). ICTIR 2023 Chairs' Welcome. In ICTIR '23: Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval : July 23, 2023, Taipei, Taiwan (pp. iii). Association for Computing Machinery. https://doi.org/10.1145/3578337 [details]

    2021

    • Landoni, M., Huibers, T., Murgia, E., Aliannejadi, M., & Pera, M. S. (2021). Somewhere over the Rainbow: Exploring the Sense of Children for Relevance. In ECCE 2021: proceedings of the 32nd European Conference on Cognitive Ergonomics : "Designing virtual and physical interactive systems" : 26-29 April 2021, University of Siena, Siena, Italy Article 30 The Association for Computing Machinery. https://doi.org/10.1145/3452853.3452885 [details]
    • Sekulić, I., Aliannejadi, M., & Crestani, F. (2021). Extending the Use of Previous Relevant Utterances for Response Ranking in Conversational Search. In E. M. Voorhees, & A. Ellis (Eds.), The Twenty-Ninth Text REtrieval Conference (TREC 2020) Proceedings (NIST Special Publication; No. SP 1266). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec29/papers/USI.C.pdf
    • Sekulić, I., Soleimani, A., Aliannejadi, M., & Crestani, F. (2021). Longformer for MS MARCO Document Re-ranking Task. In E. M. Voorhees, & A. Ellis (Eds.), The Twenty-Ninth Text REtrieval Conference (TREC 2020) Proceedings (NIST Special Publication; No. SP 1266). National Institute of Standards and Technology. https://trec.nist.gov/pubs/trec29/papers/USI.DL.pdf

    2020

    2019

    • Ríssola, E. A., Chakraborty, M., Crestani, F., & Alian Nejadi, M. (2019). Predicting Relevant Conversation Turns for Improved Retrieval in Multi-Turn Conversational Search. In Text Retrieval Conference (TREC)

    2016

    • Alian Nejadi, M., Mele, I., & Crestani, F. (2016). Venue Appropriateness Prediction for Contextual Suggestion. In Text Retrieval Conference (TREC)

    2015

    • Alian Nejadi, M., Bahrainian, S. A., Giachanou, A., & Crestani, F. (2015). University of Lugano at TREC 2015: Contextual Suggestion and Temporal Summarization Tracks. In Text Retrieval Conference (TREC)

    2022

    2021

    • Borisov, O., Alian Nejadi, M., & Crestani, F. (2021). Keyword Extraction for Improved Document Retrieval in Conversational Search.

    2018

    • Alian Nejadi, M., & Crestani, F. (2018). A collaborative ranking model with contextual similarities for venue suggestion. Paper presented at The Italian Information Retrieval Workshop (IIR) .

    2014

    • Aliannejadi, M., Kiaeeha, M., Khadivi, S., & Ghidary, S. S. (2014). Graph-based semi-supervised conditional random fields for spoken language understanding using unaligned data. 98-103. Paper presented at 2014 Australasian Language Technology Association Workshop, ALTA 2014, Melbourne, Australia.

    Prize / grant

    • Alian Nejadi, M. (2022). WSDM 2022 Best Paper Runner-up.

    2021

    • Ghasemitaheri, N., Alian Nejadi, M., & Hiemstra, D. (2021). BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search.

    2020

    • Antaris, S., Rafailidis, D., & Alian Nejadi, M. (2020). On Estimating the Training Cost of Conversational Recommendation Systems.
    • Apa, M., Cecilia Faini, M., Alian Nejadi, M., & Pera, M. S. (2020). A Canine Census to Influence Public Policy.

    2021

    • Alian Nejadi, M., Bonab, H., Vardasbi, A., Kanoulas, E. & Allan, J. (2021). XMarket. GitHub. http://xmrec.github.io

    2020

    2019

    • Alian Nejadi, M., Zamani, H., Crestani, F. & Bruce Croft, W. (2019). Qulac: A dataset on asking Questions for Lack of Clarity in open-domain information-seeking conversations. GitHub. https://github.com/aliannejadi/qulac

    2018

    2016

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