基本信息
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Bio
The scientist’s investigation covers issues in Recommender system, Artificial intelligence, Information retrieval, World Wide Web and Machine learning. His studies in Recommender system integrate themes in fields like Ranking, Feature, Data science and Topic model. Julian McAuley carries out multidisciplinary research, doing studies in Artificial intelligence and Clothing.
His study deals with a combination of Information retrieval and Task. The study incorporates disciplines such as Categorization and Set in addition to World Wide Web. The various areas that he examines in his Machine learning study include Matching, Image based, Markov process and Space.
His study deals with a combination of Information retrieval and Task. The study incorporates disciplines such as Categorization and Set in addition to World Wide Web. The various areas that he examines in his Machine learning study include Matching, Image based, Markov process and Space.
Research Interests
Papers共 323 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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CoRR (2024)
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CoRR (2024)
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Yashar Deldjoo,Fatemeh Nazary,Arnau Ramisa,Julian McAuley, Giovanni Pellegrini,Alejandro Bellogin,Tommaso Di Noia
ACM COMPUTING SURVEYSno. 4 (2024): 87:1-87:37
Zhouhang Xie,Bodhisattwa Prasad Majumder,Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada,Hiromi Wakaki,Julian McAuley
CoRR (2024)
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CoRR (2024)
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