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个人简介
Mehdi Elahi received M.Sc. degree in Electrical Engineering (Sweden), and Ph.D. degree in Computer Science (Italy), under the supervision of Prof. Francesco Ricci.
During the course of Ph.D., he has researched on Recommender Systems, mainly focused on the cold start problem. He has designed, developed, and evaluated (offline/online) several personalized techniques for Active Learning in recommender systems. These techniques were integrated in a mobile context-aware recommender system for tourism, called "South Tyrol Suggests".
As a result of his graduate research work, Mehdi Elahi served as a primary author or co-author on several publications in AI, ML, RS, IR, HCI, and UM related conferences and journals. He was also given the opportunity to publish his research findings in a chapter of the Recommender Systems Handbook (2nd edition).
During the course of Ph.D., he has researched on Recommender Systems, mainly focused on the cold start problem. He has designed, developed, and evaluated (offline/online) several personalized techniques for Active Learning in recommender systems. These techniques were integrated in a mobile context-aware recommender system for tourism, called "South Tyrol Suggests".
As a result of his graduate research work, Mehdi Elahi served as a primary author or co-author on several publications in AI, ML, RS, IR, HCI, and UM related conferences and journals. He was also given the opportunity to publish his research findings in a chapter of the Recommender Systems Handbook (2nd edition).
研究兴趣
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IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMSno. 3 (2024): 470-483
PROCEEDINGS OF THE 17TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2023pp.1084-1089, (2023)
2023 ADJUNCT PROCEEDINGS OF THE 31ST ACM CONFERENCE ON USER MODELING, ADAPTATION AND PERSONALIZATION, UMAP 2023pp.7-11, (2023)
MediaEval Benchmarking Initiative for Multimedia Evaluation (2023)
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مدلسازی و مدیریت آب و خاکno. 1 (2023): 84-97
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Inf. Sci. (2023): 738-756
IEEE ACCESS (2023): 142263-142275
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