Qi Guo

Graduate Student ( Fall 2007 - present )
Intelligent Information Access Lab
Mathematics & Computer Science
Emory University
My Resume: [pdf]
Office:
N426, Math & Science Center
400 Dowman Dr., Suite W401
Atlanta, GA 30322, USA
Email : qguo3 at emory dot edu
Phone : +1-404-273-2026

I am a Ph.D. student in the Mathematics and Computer Science Department of Emory University, currently working with Prof. Eugene Agichtein. My research interests primarily lie in information retrieval, user behavior modeling and machine learning. As a short summary, my current research involves:

Web search query intent prediction through implicit user feedback including mouse move trajectories and clickthrough data.
User behavior modeling of online information-seeking for digital library search evaluation by query log analysis.

Before coming to Emory, I obtained my B.S. degree in Software Engineering from Zhejiang University (Hangzhou) in 2007.

NEWS:

I am doing an internship with Microsoft Research Redmond this summer.
I am one of the 20 nationwide recipients of the Yahoo! Key Scientific Challenges Award .

Conferences:

CIKM 2009: June 1st, 2009

Publications:

In the Mood to Click? Towards Inferring Searcher Receptiveness to Advertising
Q. Guo, E. Agichtein, C. Clarke and A. Ashkan
to appear in the ACM/IEEE International Conference on Web Intelligence (WI), 2009.
Estimating Ad Clickthrough Rate through Query Intent Analysis.
A. Ashkan, C. Clarke, E. Agichtein and Q. Guo
to appear in the ACM/IEEE International Conference on Web Intelligence (WI), 2009.
Beyond Session Segmentation: Predicting Changes in Search Intent With Client-Side User Interactions.
Q. Guo and E. Agichtein
to appear in the 32nd ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2009.
EMU: The Emory User Behavior Modeling System for Automatic Library Search Evaluation: Preliminary Results.
Q. Guo, R. Kelly, S. Deemer, A. Murphy, J. Smith, and E. Agichtein
to appear in the 9th Joint Conference on Digital Libraries (JCDL), 2009.
Classifying and Characterizing Query Intent in Sponsored Search.
A. Ashkan, C. Clarke, E. Agichtein and Q. Guo
to appear in the 31st European Conference on Informational Retrieval (ECIR), 2009.
Understanding "Abandoned" Ads: Towards Personalized Commercial Intent Inference via Mouse Movement Analysis .
Q. Guo, E. Agichtein, C. Clarke and A. Ashkan
Proceedings of the SIGIR Workshop on Information Retrieval in Advertising, 2008.
Characterizing Query Intent From Ad Clickthrough Data.
A. Ashkan, C. Clarke, E. Agichtein and Q. Guo
Proceedings of the SIGIR Workshop on Information Retrieval in Advertising, 2008.
Exploring Client-Side Instrumentation for Personalized Search Intent Inference. [slides]
Q. Guo and E. Agichtein
Proceedings of the AAAI Workshop on Intelligent Techniques for Web Personalization & Recommender Systems, 2008.
Exploring Mouse Movements for Inferring Query Intent .
Q. Guo and E. Agichtein
Proceedings of the 31st ACM International Conference on Research and Development in Information Retrieval (SIGIR), 2008.
Modeling User Interactions for Automatic Library Search Evaluation: Preliminary Results .
Q. Guo, A. Murphy, S. Deemer and E. Agichtein
submitted to the 8th Joint Conference on Digital Libraries (JCDL), 2008.

Last updated: 04/2009