Faceted Search

Daniel Tunkelang is co-founder and chief scientist at Endeca, a leading provider of enterprise information access solutions. He heads up Endeca's efforts to develop features and capabilities that emphasize interactive information retrieval. Daniel is recognized as a leading advocate of human-computer information retrieval, a multidisciplinary effort to bridge the gap between the more systems-oriented work in information retrieval and the more cognitively focused approach in library and information science. He has organized annual workshops on the subject. He publishes The Noisy Channel, a widely read and cited blog on the information-seeking process. He also participates actively in both academic and industry conferences, recently attempting to bridge the gap between the two by organizing an Industry Track at SIGIR, the leading academic conference on information retrieval. Daniel holds undergraduate degrees in mathematics and computer science from MIT and a PhD in computer science fromCMU. Before co-founding Endeca, he worked at the IBM T. J. Watson Research Center and AT&T Labs. He lives in New York with his wife Kristin and daughter Lily.

• I. Key Concepts.- Introduction: What Are Facets?.- Information Retrieval.- Faceted Information Retrieval.- II. Research and Practice.- Academic Research.- Commercial Applications.- III. Practical Concerns.- Back-End Concerns.- Front-End Concerns.- Conclusion.- Glossary.