Advisory Board
Andrei Broder, Yahoo!, USA
Andrei Broder is a Yahoo! Research Fellow and Vice President of Emerging Search Technology. Previously he was an IBM Distinguished Engineer and the CTO of the Institute for Search and Text Analysis in IBM Research. From 1999 until early 2002 he was Vice President for Research and Chief Scientist at AltaVista.
He graduated Summa cum Laude from Technion and did his Ph.D. in Computer Science at Stanford University under Don Knuth. Andrei is the co-winner of the Best Paper award at WWW6 (for his work on duplicate elimination of web pages) and at WWW9 (for his work on mapping the web).
He has published more than seventy papers and was awarded twenty patents. He is an IEEE fellow and served as chair of the IEEE Technical Committee on Mathematical Foundations of Computing.
Eric Brill, Microsoft Research, USA
Eric Brill is a Director and Principal Researcher of the Text Mining, Search and Navigation Group at Microsoft Research. He joined Microsoft in 1999 as part of the Natural Language Processing Group for the first two years, then moved to the Machine Learning and applied Statistics Group in 2000, finally organizing the Text Mining, Search and Navigation Research group in 2003.
Prior to joining Microsoft Research, Eric was a faculty member of the Department of Computer Science and the Center for Language and Speech Processing, John Hopkins University. Before joining John Hopkins, he was a Research Scientist in the Spoken Language Systems Group, in the Laboratory for Computer Science at MIT.
Eric graduate from U.Penn. Eric has published upwards of 80 papers ranging in topics from natural language processing to search and authored numerous patent applications.
Jamie Callan, Carnegie Mellon University, USA
Jamie Callan is a Professor at Carnegie Mellon University. His background is in Information Retrieval and Machine Learning. His recent IR research addresses automatic database selection, high speed adaptive information filtering, algorithms that learn information needs by observing user actions, novelty detection, automatic analysis of gathered information, and question answering.
His earlier IR research studied architectures for large-scale information retrieval and filtering systems, first generation Web-search systems, integration of text search with relational database systems, and information literacy in K-12 education. Jamie has published over 100 papers on different topics in the area of natural language processing, information retrieval and search.
Thomas Hofmann, Google, Switzerland
Thomas Hofmann is a Director of Engineering at Google and one of the site leads of Googleıs engineering in Zurich, Switzerland. Between 2004 and 2006 he held a position as a Professor of Computer Science at the Technical University of Darmstadt, while serving as a director of Fraunhofer Institute for Integrated Publication and Information Systems. In 1999 Thomas joined the Computer Science Department at Brown University first as an Assistant and then Associate Professor of Computer Science. In 2000 he co-founded RecomMind Inc.
Thomas held postdoc positions in the International Computer Science Institute and in EECS Departments in Berkeley University of California. Before that Thomas held postdoc positions at the Center for Biological and Computational Learning & Artificial Intelligence Laboratory and Massachusetts Institute of Technology. Thomas received his PhD from University of Bonn in 1997. His current research focuses on Information Retrieval and Machine learning, but it also includes topics on Data Mining, Pattern Recognition, Computer Vision, Natural Language Learning, Information Theory, and Computational Statistics.
Mike Moran, IBM, USA
Mike Moran is an IBM Distinguished Engineer and Product Manager of IBMıs OmniFind search software, with more than 20 years experience in search technology working at IBM Research, Lotus, and other IBM software units. He led the product team that developed the first commercial linguistic search engine in 1989, and has been granted four patents in search and retrieval technology.
He led the original search marketing strategy for ibm.com, as well as the integration of ibm.comıs site search technologies. Beyond his search work, Mike has spearheaded ibm.com projects in Content Management, Personalization, and Web Metrics. In addition to Mikeıs broad technical background, he holds an Advanced Certificate in Market Management Practice from the Royal UK Charter Institute of Marketing, and writes the search marketing column for Revenue Magazine. He is a member of the Search Engine Marketing Council of the Direct Marketing Association and a frequent speaker at industry conferences, including Search Engine Strategies, AD:TECH, Consumer Reports WebWatch, OMMA East, and the Enterprise Search Summit.
|
|
 |
Submission guidelines
Submissions are accepted through the TROA2008 page at easychair.org
Papers should be no longer than 8 pages, including all references and figures. Papers should be submitted in WWW2008 proceedings format (two columns, 9pt font, approximately one-inch margins), which can be found at:
WWW2008 Proceedings Templates
All papers must be submitted in either Adobe Portable Document Format (PDF), or Microsoft Word Format (doc). Please ensure that any special fonts used are included in the submitted documents. All papers must be original and must not have been published or under review elsewhere.
|
|
