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Research Area: Search Technologies, Machine Learning |
Profile
Kunal Punera is a Research Scientist with the Search & Data Mining group. He joined Yahoo! after obtaining his PhD from University of Texas at Austin in 2007. His research primarily focuses on statistical learning and data mining, often applied in the context of large scale information retrieval systems. At Yahoo! he works on developing new features for the web search engine and learning from users' interaction with it. Recently, he is also involved in applying learning based approaches to various problems in the area of computational advertising.
Email: (first character of first name)(last name)(at)(company I work for)(-)(inc.com)
Recent Publications, Projects and News
- A Graph-Theoretic Approach to Webpage Segmentation Deepayan Chakrabarti; Ravi Kumar; Kunal Punera, WWW, 2008
- Enhanced Hierarchical Classification via Isotonic Smoothing Kunal Punera; Joydeep Ghosh, 17th International World Wide Web Conference (WWW), 2008 [view abstract]
- A graph-theoretic approach to webpage segmentation Deepayan Chakrabarti; Ravi Kumar; Kunal Punera, 17th International World Wide Web Conference (WWW), 2008 [view abstract]
- Page-Level Template Detection via Isotonic Smoothing Deepayan Chakrabarti; Ravi Kumar; Kunal Punera, 16th International World Wide Web Conference, 2007 [view abstract]
- Soft Cluster Ensembles Kunal Punera; Joydeep Ghosh; J Oliveira and W Pedrycz (Eds), Advances in Fuzzy Clustering and Its Applications, Wiley, 2007 [view abstract]
- Hierarchical Topic Segmentation of Websites Ravi Kumar; Kunal Punera; A Tomkins, 12th International Conference on Knowledge Discovery and Data Mining (KDD), 2006 [view abstract]
- Effective and Efficient Classification on a Search Engine Model Aris Anagnostopoulos; A. Z. Broder; Kunal Punera, 15th ACM Conference on Information and Knowledge Management (CIKM), 2006
- The Volume and Evolution of Web Page Templates David Gibson; Kunal Punera; A Tomkins, 14th International World Wide Web Conference, 2005 [view abstract]
- A Maximum Likelihood Framework for Integrating Taxonomies Suju Rajan; Kunal Punera; Joydeep Ghosh, 20th Conference on Artificial Intelligence (AAAI), 2005 [view abstract]