Detailed Information
Research Interests:
Information Retrieval, Natural Language Processing, and Big Data Analysis.
Publications:
2019
Anwen Hu, Zhicheng Dou, Jian-Yun Nie, and Ji-Rong Wen. Leveraging Multi-token Entities in Document-level Named Entity Recognition. (AAAI 2020) (CCF A) Proceedings of the thirty-Fourth AAAI Conference on Artificial Intelligence(Download)
Yujia Zhou, Zhicheng Dou, and Ji-Rong Wen. 2020. Enhancing Re-finding Behavior with External Memories for Personalized Search. In Proceedings of the 21th ACM International Conference on Web Search and Data Mining (WSDM '20). ACM, New York, NY, USA, Accepted (WSDM 2020) (CCF B)(Download)
Shuqi Lu, Zhicheng Dou, Xu Jun, Jian-Yun Nie, and Ji-Rong Wen. PSGAN: A Minimax Game for Personalized Search with Limited and Noisy Click Data. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval: 555-564 (SIGIR 2019) (CCF A)(Download)
Zhicheng Dou, Xue Yang, Diya Li, Ji-Rong Wen, and Tetsuya Sakai. Low-cost, bottom-up measures for evaluating search result diversification. Information Retrieval Journal (2019). https://doi.org/10.1007/s10791-019-09356-x. (IRJ)(Download)
Yutao Zhu, Zhicheng Dou, Jian-Yun Nie, and Ji-Rong Wen. ReBoost: A Retrieval-Boosted Sequence-to-Sequence Model for Neural Response Generation. Information Retrieval Journal (2019). http://dx.doi.org/10.1007/s10791-019-09364-x. (IRJ)(Download)
Juan Li, Zhicheng Dou, Yutao Zhu, Xiaochen Zuo, and Ji-Rong Wen. Deep Cross-platform Product Matching in E-commerce. Information Retrieval Journal (2019). https://doi.org/10.1007/s10791-019-09360-1. (IRJ)(Download)
Yujia Zhou, Zhicheng Dou, Songwei Ge, and Ji-Rong Wen. Dynamic Personalized Search Based on RNN with Attention Mechanism. Chinese Journal of Computer (2019), Vol 42, http://kns.cnki.net/kcms/detail/11.1826.TP.20190624.1709.002.html (Download)
Zhicheng Dou, Xubo Qin, and Ji-Rong Wen. A Survey on Search Result Diversification. Chinese Journal of Computer (2019), Vol 42, http://kns.cnki.net/kcms/detail/11.1826.TP.20190222.1644.002.html (Download)
Shuqi Lu, Zhicheng Dou, and Ji-Rong Wen. Research on Structural Data Extraction in Surgical Cases. Chinese Journal of Computer (2019), Vol 42, https://www.cnki.net/KCMS/detail/11.1826.TP.20191016.1043.006.html (Download)
Xiaochen Zuo, Zhicheng Dou, Zhen Huang, Shuqi Lu. Product Category Mining Associated with Weibo Hot Topics. Journal of Computer Research and Development,2019, 56(09):1927-1938. (Download)
2018
Zhengbao Jiang, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue, and Ji-Rong Wen. Supervised Search Result Diversification via Subtopic Attention. IEEE Trans. Knowl. Data Eng. 30(10): 1971-1984 (2018) (TKDE) (CCF A)(Download)
Xiao-Jie Wang, Ji-Rong Wen, Zhicheng Dou, Tetsuya Sakai, and Rui Zhang. Search Result Diversity Evaluation Based on Intent Hierarchies, IEEE Trans. Knowl. Data Eng. 30(1): 156-169 (2018) (TKDE) (CCF A)(Download)
Songwei Ge, Zhicheng Dou, Zhengbao Jiang, Jian-Yun Nie, Ji-Rong Wen: Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. Proceedings of the 27th ACM International Conference on Information and Knowledge Management: 347-356 (CIKM 2018) (CCF B)(Download)
Ji-Rong Wen, Zhicheng Dou, Ruihua Song: Personalized Web Search. Encyclopedia of Database Systems (2nd ed.)
2017
Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue. Learning to Diversify Search Results via Subtopic Attention. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2017) (CCF A)(Download)
Zhengbao Jiang, Zhicheng Dou, Ji-Rong Wen: Generating Query Facets Using Knowledge Bases. IEEE Trans. Knowl. Data Eng. 29(2): 315-329 (2017) (TKDE) (CCF A)(Download)
Zhicheng Dou, Zhengbao Jiang, Jinxiu Li, Yichun Zhang, and Ji-Rong Wen. A Method of Mining Query Facets Based on Term Graph Analysis. Chinese Journal of Computer, 2017, 40(3):556-569. (In Chinese)(Download)
2016
Xiaojie Wang, Zhicheng Dou, Tetsuya Sakai, and Ji-Rong Wen. Evaluating Search Result Diversity using Intent Hierarchies. In Proceedings of SIGIR, 2016. (SIGIR 2016) (CCF A)(Download)
Zhicheng Dou, Zhengbao Jiang, Sha Hu, Ji-Rong Wen, Ruihua Song: Automatically Mining Facets for Queries from Their Search Results. IEEE Trans. Knowl. Data Eng. (TKDE) 28(2):385-397 (2016) (TKDE) (CCF A)(Download)
Sha Hu, Ji-Rong Wen, Zhicheng Dou, Shuo Shang. Following the dynamic block on the Web. World Wide Web 19(6): 1077-1101 (2016) (Download)
Takehiro Yamamoto, Yiqun Liu, Min Zhang, Zhicheng Dou, Ke Zhou, Ilya Markov, Makoto P. Kato, Hiroaki Ohshima, Sumio Fujita. Overview of the NTCIR-12 IMine-2 Task. NTCIR 2016 (Download)
Ming Yue, Zhicheng Dou, Sha Hu, Jinxiu Li, Xiao-Jie Wang, Ji-Rong Wen. RUCIR at NTCIR-12 IMINE-2 Task. NTCIR 2016 (Download)
Shaoping Ma, Ji-Rong Wen, Yiqun Liu, Zhicheng Dou, Min Zhang, Yi Chang, Xin Zhao. Information Retrieval Technology - 12th Asia Information Retrieval Societies Conference, AIRS 2016, Beijing, China, November 30 - December 2, 2016, Proceedings. Lecture Notes in Computer Science 9994, Springer 2016, ISBN 978-3-319-48050-3 (Download)
2015
Zhongqi Lu, Zhicheng Dou, Xing Xie, Jianxun Lian, Qiang Yang. Content-based Collaborative Filtering for News Topic Recommendation. In Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015), Austin Texas, USA, Jan 25-29, 2015. (AAAI 2015) (CCF A)(Download)
Sha Hu, Zhicheng Dou, Xiaojie Wang, Tetsuya Sakai, and Ji-Rong Wen. 2015. Search Result Diversification Based on Hierarchical Intents. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management (CIKM '15). ACM, New York, NY, USA, 63-72. (CIKM 2015) (CCF B)(Download)
Sha Hu, Zhicheng Dou, Xiao-Jie Wang, Ji-Rong Wen: Search Result Diversification Based on Query Facets. J. Comput. Sci. Technol. (JCST) 30(4):888-901 (2015) (Download)
Zhicheng Dou and Ji-Rong Wen. Web Analytical Engine in the Big Data Era. Big Data Journal, 2015(3). (In Chinese)(Download)
2014
Yiqun Liu, Ruihua Song, Min Zhang, Zhicheng Dou, Takehiro Yamamoto, Makoto Kato, Hiroaki Ohshima, Ke Zhou. Overview of the NTCIR-11 IMine Task. Proceedings of the 11th NTCIR conference. (Download)
Fei Chen, Yiqun Liu, Zhicheng Dou, Keyang Xu, Yujie Cao, Min Zhang, and Shaoping Ma, Revisiting the Evaluation of Diversified Search Evaluation Metrics with User Preferences. Proceedings of the 10th Asia Information Retrieval Society Conference (AIRS 2014) (Download)
Jingfei Li, Dawei Song, Peng Zhang, Ji-Rong Wen, and Zhicheng Dou, Personalizing Web Search Results Based on Subspace Projection, Proceedings of the 10th Asia Information Retrieval Society Conference (AIRS 2014) (Download)
Shu Tang, Zhicheng Dou, Xing Xie, and Jun He, Detecting and Monitoring Dynamic Content Blocks of a Web Page by Merging its Historical Versions, in SIGIR 2014 Workshop on Temporal, Social and Spatially-aware Information Access (TAIA2014), 2014 (Download)
2013
Xiao Ding, Zhicheng Dou, Bing Qin, Ting Liu, and Ji-Rong Wen, Improving Web Search Ranking by Incorporating Structured Annotation of Queries, in Proceedings of EMNLP 2013, pages 468-478, October 2013 (EMNLP 2013) (CCF B)(Download)
Kosetsu Tsukuda, Tetsuya Sakai, Zhicheng Dou, and Katsumi Tanaka, Estimating Intent Types for Search Result Diversification, in Information Retrieval Technology, pages 25-37, Springer Berlin Heidelberg, 2013 (Download)
Ke Zhou, Tetsuya Sakai, Mounia Lalmas, Zhicheng Dou, and Joemon M. Jose, Evaluating Heterogeneous Information Access, in ACM SIGIR 2013 Workshop on Modeling User Behavior for Information Access Evaluation, 2013 (Download)
Qinglei Wang, Yanan Qian, Ruihua Song, Zhicheng Dou, Fan Zhang, Tetsuya Sakai, and Qinghua Zheng, Mining Subtopics from Text Fragments for a Web Query, in Information Retrieval 16(4) pages 484-503, 2013 (Download)
Tetsuya Sakai and Zhicheng Dou, Summaries, Ranked Retrieval and Sessions: A Unified Framework for Information Access Evaluation, in Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013), pages 473-482, ACM, 2013 (The Best Paper Runner-Up Award)(SIGIR 2013) (CCF A)(Download)
Tetsuya Sakai, Zhicheng Dou, and Carles Clarke, The Impact of Intent Selection on Diversified Search Evaluation, in Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013), pages 921-924, ACM, 2013 (SIGIR 2013) (CCF A)(Download)
Tetsuya Sakai, Zhicheng Dou, Takehiro Yamamoto, Yiqun Liu, Min Zhang, Makoto Kato, Ruihua Song, and Mayu Iwata, Summary of the NTCIR-10 INTENT-2 Task: Subtopic Mining and Search Result Diversification, in Proceedings of the 36th international ACM SIGIR conference on Research and development in information retrieval (SIGIR 2013), pages 761 - 764, ACM, 2013 (SIGIR 2013) (CCF A)(Download)
Tetsuya Sakai, Zhicheng Dou, Takehiro Yamamoto, Yiqun Liu, Min Zhang, and Ruihua Song, Overview of the NTCIR-10 INTENT-2 Task, in Proceedings of the 10th NTCIR Conference, pages 94-123, June 18-21, 2013 (Download)
Kosetsu Tsukuda, Zhicheng Dou, and Tetsuya Sakai, Microsoft Research Asia at the NTCIR-10 Intent Task, in Proceedings of the 10th NTCIR Conference, June 2013 (Download)
Kazuya Narita, Tetsuya Sakai, Zhicheng Dou, and Young-In Song, MSRA at NTCIR-10 1CLICK-2, in Proceedings of the 10th NTCIR Conference, 2013 (Download)
2012
Tetsuya Sakai, Zhicheng Dou, Ruihua song, and Noriko Kando, The Reusability of a Diversified Search Test Collection, in Information Retrieval Technology (AIRS 2012), pages 26-38, Springer Berlin Heidelberg, 20 December 2012 (The Best Paper Award)(Download)
2011
Zhicheng Dou, Sha Hu, Kun Chen, Ruihua Song, and Ji-Rong Wen, Multi-dimensional Search Result Diversification, in Proceedings of the fourth ACM international conference on Web search and data mining (WSDM 2011), pages 475-484, ACM, February 2011 (WSDM 2011) (CCF B)(Download)
Zhicheng Dou, Finding Dimensions for Queries, in Proceedings of the 20th ACM international conference on Information and knowledge management (CIKM 2011), pages 1311-1320, ACM, 2011 (CIKM 2011) (CCF B)(Download)
Jialong Han, Qinglei Wang, Naoki Orii, Zhicheng Dou, Tetsuya Sakai, and Ruihua Song, Microsoft Research Asia at the NTCIR-9 Intent Task, in Proceedings of the 10th NTCIR Conference (NTCIR-9), National Institute of Informatics, 2011 (CIKM 2011) (CCF B)(Download)
2010
Tetsuya Sakai, Nick Craswell, Ruihua Song, Stephen Robertson, Zhicheng Dou, and Chin-Yew Lin, Simple Evaluation Metrics for Diversified Search Results, in Proceedings of the Third International Workshop on Evaluating Information Access (EVIA), Volumn 26, pages 27, National Institute of Informatics, June 2010 (Download)
Ruihua Song, Zhicheng Dou, Hsiao-Wuen Hon, and Yong Yu, Learning Query Ambiguity Models by Using Search Logs, Journal of Computer Science and Technology, 25(4), pages 782-738, Springer, July 2010 (Download)
2009
Zhicheng Dou, Kun Chen, Ruihua Song, Yunxiao Ma, Shuming Shi, and Ji-Rong Wen, Microsoft Research Asia at the Web Track of TREC 2009, in Proceedings of TREC 2009, November 2009 (Download)
Ji-Rong Wen, Zhicheng Dou, and Ruihua Song, Personalized Web Search, in Encyclopedia of Database Systems, pages 2099-2103, Springer-Verlag, New York, USA, September 2009 (Download)
Zhicheng Dou, Ruihua Song, Jian-Yun Nie, and Ji-Rong Wen, Using Anchor Texts with Their Hyperlink Structure for Web Search, in Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval(SIGIR 2009), pages 227-234, ACM, July 2009 (SIGIR 2009) (CCF A)(Download)
Zhicheng Dou, Ruihua Song, Ji-Rong Wen, and Xiaojie Yuan, Evaluating the Effectiveness of Personalized Web Search, in IEEE Transactions on Knowledge and Data Engineering (TKDE), 21(8), pages 1178-1190, IEEE computer Society Digital Library, Aug., 2009 (TKDE) (CCF A)(Download)
2008
Zhicheng Dou, Ruihua Song, Xiaojie Yuan, and Ji-Rong Wen, Are click-through data adequate for learning web search rankings?, in Proceeding of the 17th ACM conference on Information and knowledge management (CIKM 2008), pages 73-82, ACM, New York, NY, USA, 2008 (CIKM 2008) (CCF B)(CCF A)(Download)
Zhicheng Dou, Xiaojie Yuan, and Songbai He, Analysis of Query Repetition in Large-scale Chinese Search Log, Computer Engineering, 34(21), Volumn 21, pages 40-44, 2008 (In Chinese)(Download)
Xiaojie Yuan, Zhicheng Dou, Lu Zhang, and Fang Liu, Automatic User Goals Identification Based on Anchor Text and Click-through Data, in Wuhan University Journal of Natural Sciences (WISA2008), 13(4), pages 495-500, 2008 (In Chinese)(Download)
Xiaojie Yuan, Zhicheng Dou, Fang Liu, and Lu Zhang, Personalized Web Search Based on Dynamic User Profile, NDBC 2008: Proceedings of the 25th National Database Conference (In Chinese), 2008 (Download)
Lu ZHANG, Xiao-jie YUAN, Fang LIU, and Zhicheng Dou, Research on Distributed Index Mechanism for Large Dataset, Microelectronics & Computer, Volume 10, Pages 037, 2008
2007
Zhicheng Dou, Ruihua Song, and Ji-Rong Wen, A large-scale evaluation and analysis of personalized search strategies, in Proceedings of the 16th international conference on World Wide Web (WWW2007), pages 581-590, ACM Press, New York, NY, USA, 2007 (WWW 2007) (CCF A)(Download)
Academic Services:
Chair/Co-Chair: Sponsorship Co-chair of ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR'18), Program Co-chair (Short Paper) of The 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'19), General Co-chair of The 12th Asia Information Retrieval Societies Conference (AIRS'16), Program Co-chair of The 13th Asia Information Retrieval Societies Conference (AIRS'17), Chair of Asia Information Retrieval Societies Steering Committee (2018)
Area Chair: CCL 2019, NLPCC 2016
Senior PC Member: SIGIR 2018
PC Member: SIGIR, KDD, CIKM, WWW, WSDM, IEEE BigData, ICDE, IJCAI, AAAI, EMNLP, NLPCC, CCIR, CCL, CCF BigData, ...
Reviewer: TKDE, TOIS, TIST, JMLC, IPM, Neurocomputing, Information Retrieval Journal, DKE, KAIS, JCST, Chinese Journal of Computer
Editorial Board: Information Retrieval Journal
Research Projects:
Personalized and Diversified Search
Studies show that the vast majority of queries to search engines are short and vague in specifying a user’s intent. Different users may have completely different information needs and goals when using precisely the same query. For example, User A is finding information about Apply Company by issuing a query "apple", while User B is finding information related to fruit apple using the same query. When such a query is issued, search engines will return a list of documents that mix different topics. It takes time for a user to choose which information he/she wants, and the search experience in this case is bad. In recent years, we are working on two different approaches for solving this problem: Personalized Web Search and Search Result Diversification.
Personalize Web Search
Through a large-scale evaluation and analysis of personalized search strategies (WWW 2007, TKDE 2009), we revealed that personalized search has different impact on different kinds of queries. More specifically, it is effective on queries with large click entropy (likely ambiguous queries), but may hurt queries with small entropy (clear queries).
We used hierarchical RNN for modeling dynamic user profiles (HRNN:CIKM 2018)
We applied generative adversarial networks on personalized search, to solve the problem of limited and noisy click data (PSGAN:SIGIR 2019)
Search Result Diversification：
Search Result Diversification is another effective way to solve this problem. Given a query, it aims to provide a list of results that cover as many aspects as possible, so that most users can be satisfied by the top results. Our efforts:
Multi-dimensional search result diversification: our multi-dimensional diversification approach generates the best run in TREC 2009 Web Track diversity task.
Hierarchical search result diversification (Details and Dataset )
Search result diversification evaluation (Details and Dataset )
Learning to Diversify Search Result via Subtopic Attention (Details and Dataset )
Query Facet Mining
We address the problem of finding multiple groups of words or phrases that explain the underlying query facets, which we refer to as query dimensions/facets. We assume that the important aspects of a query are usually presented and repeated in the query’s top retrieved documents in the style of lists, and query facets can be mined out by aggregating these significant lists.