My research focuses on information retrieval and on Web search engines.

The goal is the improvement of the state of the art and the current practices in this field, through the development of novel information retrieval models, and by exploiting new data sources. These sources, such as user logs, Wikipedia entries and thesauri are put to use to expand, rewrite and otherwise reorganize user queries. My research interests also lie in taking into account the user’s various intentions in different application contexts.

To achieve this, we develop statistical methods to address the specific needs of information retrieval. My research also include multilingual aspects, i.e. successfully finding relevant documents in a language different from that of the query. The methods developed can be applied in various domains: medical information retrieval, e-commerce, opinion analysis on the Web, etc.

Un livre sur la recherche d’information translinguistique :

Cross-Language Information Retrieval
Synthesis Lectures on Human Language Technologies
PDF disponible chez Morgan & Claypool Publishers

2017

•  Liana Ermakova, Lorraine Goeuriot, Josiane Mothe, Philippe Mulhem, Jian-Yun Nie, and Eric SanJuan. CLEF 2017 Microblog Cultural Contextualization Lab Overview, page 304–314. Springer International Publishing, Cham, 2017. 
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• Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, and Ming Yue. Learning to Diversify Search Results via Subtopic Attention. , 2017. 
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• Yiqun Liu, Jian-Yun Nie, and Yi Chang. Constructing click models for search users. Information Retrieval Journal, 20:1–3, 2017. 
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• Zeyang Liu, Jiaxin Mao, Chao Wang, Qingyao Ai, Yiqun Liu, and Jian-Yun Nie. Enhancing click models with mouse movement information. Information Retrieval Journal, 20:53–80, 2017. 
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• Kazutoshi Umemoto, Ruihua Song, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, and Yong Rui. Search by Screenshots for Universal Article Clipping in Mobile Apps. ACM Transactions on Information Systems (TOIS), 35:34, 2017. 
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2016

• Vincent Claveau and Jian-Yun Nie. Recherche d’information et traitement automatique des langues: collaboration, synergie et convergence. Traitement Automatique des Langues, 56, 2016. 
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• Romain Deveaud, Josiane Mothe, and Jian-Yun Nie. Learning to Rank System Configurations. In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management. ACM, ACM, 2016. 
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• Xiaojie Liu, Jian-Yun Nie, and Alessandro Sordoni. Constraining word embeddings by prior knowledge–application to medical information retrieval, page 155–167. Springer International Publishing, 2016. 
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• Yiqun Liu, Xiaohui Xie, Chao Wang, Jian-Yun Nie, Min Zhang, and Shaoping Ma. Time-Aware Click Model. ACM Transactions on Information Systems (TOIS), 35:16, 2016. 
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• Ruihua Song, Dingquan Wang, Jian-Yun Nie, Ji-Rong Wen, and Yong Yu. Enhancing web search with queries of equivalent intents. Information Retrieval Journal, 19:573–593, 2016. 
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• Ruihua Song, Kazutoshi Umemoto, Jian-Yun Nie, Xing Xie, Katsumi Tanaka, and Yong Rui. UniClip: Leveraging Web Search for Universal Clipping of Articles on Mobile. Data Science and Engineering, 1:101–113, 2016. 
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• Zhifei Zhang, Jian-Yun Nie, and XUYAO Zhang. An ensemble method for binary classification of adverse drug reactions from social media. Proceedings of the Social Media Mining Shared Task Workshop at the Pacific Symposium on Biocomputing, 2016. 
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• Sendong Zhao, Ting Liu, Sicheng Zhao, Yiheng Chen, and Jian-Yun Nie. Event causality extraction based on connectives analysis. Neurocomputing, 173:1943–1950, 2016. 
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Pour en voir plus, consultez le site web de Jian-Yun Nie >>>