Grace Hui Yang, Xuchu Dong, Jiyun Luo and Sicong Zhang. Session search modeling by partially observable Markov decision process. Information Retrieval Journal (IRJ). Volume 20.
Publications / By Author /  Dongyi Guan
2018
- February 2018
2015
Hui Yang, Dongyi Guan, Sicong Zhang. The Query-Change Model: Modeling Session Search as a Markov Decision Process. ACM Transactions on Information Systems (TOIS). Vol. 33, No. 4, Article 20, 33 pages.
May, 2015
2014
Dongyi Guan, Hui Yang. Query Aggregation in Session Search. In the 3rd Workshop on Data-driven User Behavior Modeling and Mining from Social Media (DUBMOD'14) in conjunction with CIKM 2014. Shanghai, China.
Dongyi Guan, Hui Yang. Is the First Query the Most Important: An Evaluation of Query Aggregation Schemes in Session Search. In Proceedings of the Asia Information Retrieval Society Conference 2014 (AIRS'2014). Kuching, Sarawak, Malaysia.
2013
Dongyi Guan. Structured Query Formulation and Result Organization for Session Search. M. S. Thesis. Georgetown University.
Dongyi Guan and Hui Yang. Increasing Stability of Result Organization for Session Search. In Proceedings of the 34th European Conference on Information Retrieval (ECIR 2013). Moscow, Russia.
Jiyun Luo, Dongyi Guan, and Hui Yang. InfoLand: Information Lay-of-Land for Session Search (demo paper). In Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013). Dublin, Ireland.
Sicong Zhang, Dongyi Guan, and Hui Yang. Query Change as Relevance Feedback in Session Search (short paper). In Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013). Dublin, Ireland.
Dongyi Guan, Sicong Zhang, and Hui Yang. Utilizing Query Change for Session Search. In Proceedings of the 36th Annual ACM SIGIR Conference (SIGIR 2013). Dublin, Ireland.
2012
Dongyi Guan, Hui Yang, Nazli Goharian. Effective Structured Query Formulation for Session Search. In Notebook of the Text REtrieval Conference 2012 (TREC 2012). Gaithersburgh, MD, USA.
Won the 2nd position in TREC 2012 Session evaluation for effective use of the entire session information (RL2-RL4).