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Dr. M. (Mohammad) Alian Nejadi

Faculteit der Natuurwetenschappen, Wiskunde en Informatica
Informatics Institute
Bezoekadres
  • Science Park 904
Postadres
  • Postbus 94323
    1090 GH Amsterdam
Contactgegevens
  • Publicaties

    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

    • 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., 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 T. Andreasen, G. De Tré, J. Kacprzyk, H. Legind Larsen, G. Bordogna, & S. Zadrożny (Eds.), Flexible Query Answering Systems: 14th International Conference, FQAS 2021, Bratislava, Slovakia, September 19–24, 2021 : proceedings (pp. 223-234). (Lecture Notes in Computer Science; Vol. 12871), (Lecture Notes in Artificial Intelligence). Springer. https://doi.org/10.1007/978-3-030-86967-0_17 [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., Aliannejadi, 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 UMAP '21: proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization : June 21-25, 2020, Utrecht, Netherlands (pp. 256-261). The Association for Computing Machinery. https://doi.org/10.1145/3450613.3456843 [details]
    • 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., Aliannejadi, M., & Voskarides, N. (2021). MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop. 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. II, pp. 710-713). (Lecture Notes in Computer Science; Vol. 12657). Springer. https://doi.org/10.1007/978-3-030-72240-1_86 [details]
    • Sekulić, I., Aliannejadi, M., & Crestani, F. (2021). Towards Facet-Driven Generation of Clarifying Questions for Conversational Search. In ICTIR '21: Proceedings of the 2021 ACM SIGIR International Conference on Theory of Information Retrieval : July 11, 2021, virtual event, Canada (pp. 167-175). Association for Computing Machinery. https://doi.org/10.1145/3471158.3472257 [details]
    • 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.

    Prijs / subsidie

    • 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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