Publications

Matthew Richardson, Christopher J.C. Burges, and Erin Renshaw (2013). "MCTest: A Challenge Dataset for the Open-Domain Machine Comprehension of Text," in Proceedings of the 2013 Conference on Emprical Methods in Natural Language Processing (EMNLP 2013), pp. 193-203, Seattle, WA, USA, October 2013.

Aniruddh Nath and Matthew Richardson (2012). "Counting-MLNs: Learning Relational Structure for Decision making," in Proceedings of the 26th Conference on Artificial Intelligence (AAAI 2012), Toronto, Canada, July 2012.

Ryen W. White and Matthew Richardson (2012). "Effects of Expertise Differences in Synchronous Social Q&A," in Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2012), pp. 1055-1056, Portland, OR, USA, August 2012.

Mikhail Bilenko and Matthew Richardson (2011). "Predictive Client-side Profiles for Personalized Advertising," in Proceedings of the 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2011), San Diego, CA, USA, August 2011.

Matthew Richardson and Ryen W. White (2011). "Supporting Synchronous Social Q&A Throughout the Question Lifecycle," in Proceedings of the 20th International World Wide Web Conference (WWW 2011), pp. 755-764, Hyderabad, India, March 2011.

Ryen W. White, Matthew Richardson, and Yandong Liu (2011). "Effects of Community Size and Contact Rate in Synchronous Social Q&A," in Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2011), pp. 2837-2846, Vancouver, Canada, May 2011. (Best Paper Award)

Pavel Serdyukov, Mike Taylor, Vishwa Vinay, Matthew Richardson, and Ryen W. White (2011). "Automatic People Tagging for Expertise Profiling in the Enterprise," in Proceedings of the 33rd European Conference on Information Retrieval (ECIR 2011), Dublin, Ireland, April 2011.

Mikhail Bilenko and Matthew Richardson (2010). "Predictive Client-side Profiles for Keyword Advertising " NIPS 2010 Workshop on Machine Learning in Online Advertising, Whistler, BC, Canada, December 2010.

Sonal Gupta, Mikhail Bilenko, and Matthew Richardson (2009). "Catching the Drift: Learning Broad Matches from Clickthrough Data," in Proceedings of the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009), pp. 1165-1174, Paris, June 2009.

Maryam Karimzadehgan, Ryen W. White, and Matthew Richardson (2009). "Enhancing Expert Finding Using Organizational Hierarchies," In Proceedings of the 31st European Conference on Information Retrieval (ECIR 2009), pp. 177-188, Toulouse, France, April 2009.

Lilyana Mihalkova and Matthew Richardson (2009). "Speeding up Inference in Statistical Relational Learning by Clustering Similar Query Literals," in Proceedings of the 19th International Conference on Inductive Logic Programming (ILP 2009), Leuven, Belgium, July 2009.

Matthew Richardson (2008). "Learning about the World through Long-Term Query Logs." ACM Transactions on the Web, vol. 2, no. 4, ACM. October 2008.

Mikhail Bilenko, Ryen W. White, Matthew Richardson, and G. Craig Murray (2008). "Talking the Talk vs. Walking the Walk: Salience of Information Needs in Querying vs. Browsing," in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008), Singapore, July 2008.

Ryen W. White, Matthew Richardon, Mikhail Bilenko, and Allison P. Heath (2008). "Enhancing Web Search by Promoting Multiple Search Engine Use," in Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2008), Singapore, July 2008.

Parag Singla and Matthew Richardson (2008). "Yes, There is a Correlation - From Social Networks to Personal Behavior on the Web," in Proceedings of the Seventeenth International World Wide Web Conference, Beijing, China, 2008.

Matthew Richardson, Ewa Dominowska, and Robert Ragno (2007). "Predicting Clicks: Estimating the Click-Through Rate for New Ads," in Proceedings of the Sixteenth International World Wide Web Conference, Banff, Canada, 2007.

Matthew Richardson, Amit Prakash, and Eric Brill (2006). "Beyond PageRank: Machine Learning for Static Ranking," Proceedings of the Fifteenth International World Wide Web Conference, Edinburgh, Scotland, 2006.

Matthew Richardson and Pedro Domingos (2006). "Markov Logic Networks," Machine Learning, 62, 107-136, 2006.

Matthew Richardson (2004). Learning and Inference in Collective Knowledge Bases. PhD thesis, University of Washington.

Matthew Richardson, Rakesh Agrawal, and Pedro Domingos (2003). "Trust Management for the Semantic Web," Proceedings of the Second International Semantic Web Conference (pp. 351-368), Sanibel Island, FL, 2003.

Matthew Richardson and Pedro Domingos (2003). "Building Large Knowledge Bases by Mass Collaboration," Proceedings of the Second International Conference on Knowledge Capture (pp. 129-137), Sanibel Island, FL, 2003.

Matthew Richardson and Pedro Domingos (2003). "Learning with Knowledge from Multiple Experts ," Proceedings of the Twentieth International Conference on Machine Learning, 2003. Washington, DC: Morgan Kaufmann.

Matthew Richardson and Pedro Domingos (2003). Combining Link and Content Information in Web Search. In M. Levene and A. Poulovassilis (eds.), Web Dynamics (pp. 179-193), 2004. New York: Springer

Matthew Richardson and Pedro Domingos (2002). "Mining Knowledge-Sharing Sites for Viral Marketing," Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining, 2002. pp. 61-70. Edmonton, Canada: ACM Press.

Matthew Richardson, Pedro Domingos (2002). "The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank," Advances in Neural Information Processing Systems 14 (pp.1441-1448), 2002. Cambridge, MA: MIT Press.

Pedro Domingos, Matt Richardson (2001). "Mining the Network Value of Customers," Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining (pp. 57-66), 2001. San Francisco, CA: ACM Press.

Matthew Richardson (2001). "Data Compression of Neural Signaling in an Implantable Microchip," Tech Report 02-08-01, Department of Computer Science and Engineering, University of Washington, 2001.

Matthew Richardson, Jeff Bilmes and Chris Diorio (2003). Hidden-articulator Markov models for speech recognition, Speech Communication, Volume 41, Issues 2-3, October 2003, Pages 511-529.

Matt Richardson, Jeff Bilmes, and Chris Diorio (2000). "Hidden-Articulator Markov Models: Performance Improvements and Robustness to Noise," ICSLP 2000, vol. 3, pp. 131-4.

Matt Richardson, Jeff Bilmes, and Chris Diorio (2000). "Hidden-Articulator Markov Models for Speech Recognition," ASR 2000, pp. 133-9.

M. Richardson, M. Hwang, A. Acero, and X.D. Huang (1999). "Improvements on Speech Recognition for Fast Talkers," Eurospeech 1999, vol. 1, pp. 411-4.

K. Mani Chandy, Adam Rifkin, Paolo A. G. Sivilotti, J. Mandelson, M. Richardson, W. Tanaka, L. Weisman (1996). "A World-Wide Distributed System Using Java and the Internet," In Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC 1996).