Daniel Tunkelang is one of those individuals that you probably know little about but who will be influencing our lives a great deal going forward. Since November 2009 he has been
the a Tech Lead/Manager on the local search team at Google and has a long history of heavy hitting in the search environment. His specialty is what is known in search as faceted search which he believes offers a potentially powerful way to approach a broad class of local search problems.
In early December, he reached out to me and I would like to welcome him to the Local Community (btw he seems to have a tough skin which should serve him well ).
Not sure any of it qualifies for your list–the local space is a bit new for me, so I’ll surely have a more targeted list next year! Anyway, here’s some stuff I liked from 2009:
WWW2009 Madrid Proceedings:
Computers and iPhones and Mobile Phones, oh my! (pdf) A logs-based comparison of search users on different devices
Greg Nudelman at UXMatters:
Best Practices for Designing Faceted Search Filters
Cameras, Music, and Mattresses: Designing Query Disambiguation Solutions for the Real World
And a collection of free resources about faceted search and search user interfaces:
Free Chapter on Faceted Search User Interface Design
Daniel’s bio if you are interested in more nformation about him:
Daniel Tunkelang joined Google in November 2009 as a Tech Lead / Manager on the local search team. Before that, he was the Chief Scientist and a co-founder of Endeca, a leading provider of search applications for enterprises. He was one of the original developers of Endeca’s search and navigation technology and led Endeca’s efforts to develop capabilities that emphasized user interaction. Previous to that, he worked at the IBM T. J. Watson Research Center and AT&T Labs.
Daniel is the leading industry advocate on interactive and exploratory approaches to supporting information seeking. He co-organizes annual Workshops on Human Computer Information Retrieval (HCIR) to combine the best ideas from information retrieval (IR) and human-computer interaction (HCI). He chaired the SIGIR 2009 Industry Track, an event that brought together highly recognized academic researchers in information retrieval with senior technologists from the leading search companies, and is similarly involved in the CIKM (information and knowledge management) and WSDM (web science and data mining) conferences.
Daniel recently published the first book on Faceted Search as part of the prestigious Morgan and Claypool Synthesis Lectures on Information Concepts, Retrieval, and Services. His articles have been published in Technology Review, as well as in ACM, IEEE, and other scholarly publications. He also blogs at The Noisy Channel, a widely read and cited blog that focuses on how people interact with information.
Daniel holds undergraduate degrees in mathematics and computer science from the Massachusetts Institute of Technology, with a minor in psychology. He completed a PhD at Carnegie Mellon University for his work on information visualization.