Image search challenge: Develop a robust way of understanding user intent from a given query and generate highly relevant image clusters that match with the intent so that more images can be surfaced to searchers. We are also looking for interesting presentation methods that will help searchers navigate these image clusters easily.
M. Pasca. CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, page 683--690. New York, NY, USA, ACM, (2007)
J. Allan, and H. Raghavan. Proceedings of the 25th annual international ACM SIGIR Conference on Research and Development in Information Retrieval, page 307--314. ACM Press New York, NY, USA, (2002)
W. Xi, E. Fox, W. Fan, B. Zhang, Z. Chen, J. Yan, and D. Zhuang. SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, page 130--137. New York, NY, USA, ACM, (2005)
Z. Zhuang, and S. Cucerzan. CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management, page 860--861. New York, NY, USA, ACM, (2006)
P. Cheng, C. Tsai, C. Hung, and L. Chien. CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management, page 862--863. New York, NY, USA, ACM, (2006)
J. Luxenburger, S. Elbassuoni, and G. Weikum. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management, page 689--698. New York, NY, USA, ACM, (2008)
M. Strohmaier, M. Kroell, and C. Koerner. Proceedings of the Workshop on Web Search Click Data WSCD'09, in conjunction with WSDM 2009, Barcelona, Spain, ACM, (2009)