Researcher Portfolio
Torbati, Ghazaleh Haratinezhad
Databases and Information Systems, MPI for Informatics, Max Planck Society
Researcher Profile
Position: Databases and Information Systems, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons231571
Publications
: Torbati, G. H., Tigunova, A., Weikum, G., & Yates, A. (2024). Recommendations in Sparse-Data Low-Resource Settings by Constructing Concise User Profiles from Review Text. In 3rd International Workshop on Industrial Recommendation Systems (at CIKM 2024). New York, NY: ACM. [PubMan] : Torbati, G. H., Tigunova, A., & Weikum, G. (2024). SIRUP: Search-based Book Recommendation Playground. In L. Angélica Caudillo Mata, S. Lattanzi, A. Muñoz Medina, L. Akoglu, A. Gionis, & S. Vassilvitskii (Eds. ), WSDM '24 (pp. 1062-1065). New York, NY: ACM. [PubMan] : Tigunova, A., Torbati, G. H., Yates, A., & Weikum, G. (2024). STAR: Sparse Text Approach for Recommendation. In E. Serra, & F. Spezzano (Eds. ), CIKM '24 (pp. 4086-4090). New York, NY: ACM. doi:10.1145/3627673.3679999. [PubMan] : Lange, L., Müller, M., Torbati, G. H., Milchevski, D., Grau, P., Pujari, S. C., & Friedrich, A. (2024). AnnoCTR: A Dataset for Detecting and Linking Entities, Tactics, and Techniques in Cyber Threat Reports. In N. Calzolari, M.-Y. Kan, V. Hoste, A. Lenci, S. Sakti, & N. Xue (Eds. ), The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (pp. 1147-1160). ELRA Language Resources Association. Retrieved from https://aclanthology.org/2024.lrec-main.103/. [PubMan] : Torbati, G. H., Tigunova, A., Yates, A., & Weikum, G. (2023). Recommendations by Concise User Profiles from Review Text. Retrieved from https://arxiv.org/abs/2311.01314. [PubMan] : Torbati, G. H., Weikum, G., & Yates, A. (2023). Search-based Recommendation: The Case for Difficult Predictions. In Y. Ding, J. Tang, J. Sequeda, L. Aroyo, C. Castillo, & G.-J. Houben (Eds. ), The ACM Web Conference 2023 (pp. 318-321). New York, NY: ACM. doi:10.1145/3543873.3587374. [PubMan] : Torbati, G. H., Tigunova, A., & Weikum, G. (2023). Unveiling Challenging Cases in Text-based Recommender Systems. In A. Said, E. Zangerle, & C. Bauer (Eds. ), Perspectives on the Evaluation of Recommender Systems 2023. CEUR-WS.org. Retrieved from https://ceur-ws.org/Vol-3476/paper5.pdf. [PubMan] : Torbati, G. H., Yates, A., & Weikum, G. (2021). You Get What You Chat: Using Conversations to Personalize Search-based Recommendations. In D. Hiemstra, M.-F. Moens, J. Mothe, R. Perego, M. Potthast, & F. Sebastiani (Eds. ), Advances in Information Retrieval (pp. 207-223). Berlin: Springer. doi:10.1007/978-3-030-72113-8_14. [PubMan] : Torbati, G. H., Yates, A., & Weikum, G. (2021). You Get What You Chat: Using Conversations to Personalize Search-based Recommendations. Retrieved from https://arxiv.org/abs/2109.04716. [PubMan] : Torbati, G. H., Yates, A., & Weikum, G. (2021). Personalized Entity Search by Sparse and Scrutable User Profiles. Retrieved from https://arxiv.org/abs/2109.04713. [PubMan] : Torbati, G. H., Yates, A., & Weikum, G. (2020). Personalized Entity Search by Sparse and Scrutable User Profiles. In H. O'Brain, & L. Freund (Eds. ), CHIIR '20 (pp. 427-431). New York, NY: ACM. doi:10.1145/3343413.3378011. [PubMan] : Torbati, G. H. (2018). Joint Disambiguation of Named Entities and Concepts. Master Thesis, Universität des Saarlandes, Saarbrücken. [PubMan]