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#TAIA2012 Keynotes

Eytan Adar

Challenges for Temporal Information Interfaces

Abstract: Growing interest in the temporal dynamics of information has led to a number of results and systems that have direct applicability to backend services (crawling, search, extraction, etc.). However, the added dimension of time has proven difficult when creating end-user interfaces. Many of the interfaces that exist today are simply insufficient to describe subtle changes in text for many documents, summarize large temporally-variant collections, and otherwise handle dynamic, and potentially ephemeral, datasets. The issue is not simply one of creating novel interaction patterns and understanding new use cases, but providing the back end architectures that reliably preform in the ways users have been trained to expect with current “snapshot”

based systems that work on largely static collections. In my talk I will describe ongoing work, opportunities, and challenges in bringing temporal data to end users.

Bio: Eytan is an Assistant Professor of Information and Computer Science at the University of Michigan. He works on temporal-informatics which is the study of the change of information—and our consumption of it—over time. Before grad school he was a researcher at HP Labs' Information Dynamics Group and at Xerox PARC. He is associated with the MISC and MIDAS groups (HCI and data mining, respectively). He is one of the founders of ICWSM and more recently he and Jaime Teevan organized WSDM 2012 which took place in Seattle.

Rosie Jones

Time Sensitivity in Online Search and Shopping

Abstract: To be announced.

Bio: Rosie Jones is Director of Computational Advertising at Akamai Technologies. Her research interests include computational advertising, web search, geographic information retrieval, and natural language processing. She received her PhD from the School of Computer Science at Carnegie Mellon University under the supervision of Tom Mitchell, where her doctoral thesis was titled Learning to Extract Entities from Labeled and Unlabeled Text. She co-organized the WSDM 2009 Workshop on Web Search Click Data (WSCD09) and is giving a tutorial at SIGIR 2009 on "IR Prototypes and Web Search Hacks with Open Source Tools". She has served on the Senior PC for SIGIR 2007-2009, and is a Senior Member of the ACM.

Neel Sundaresan

Relativity in Commerce Search

Abstract: Transience and specificity (or lack thereof) introduce interesting challenges in commerce search. I will talk about introducing the "time dimension" into commerce search and the benefits of introducing this dimension. By mining user and inventory data at scale I show how the search engine can take advantage of this new dimension to bridge the gap between demand and supply. I will give examples from eBay, a well-known online marketplace and show, with examples, how useful and novel commerce experiences and applications can be afforded by understanding data at scale.

Bio: Neel Sundaresan is a senior director and head of eBay Research Labs. He has been with eBay since 2005. Prior to joining eBay was a founder and CTO of a startup focused on multi-attribute fuzzy search and network CRM. Prior to this he was the head of the eMerging Internet Technologies group at the IBM Almaden Research Center. There he built the first XML-based Search Engine. He was one of the early leaders in building XML technologies including schema-aware compression algorithms, application component generators and pattern-match systems and compilers. He built the first RDF reference implementation as a W3C standard recommendation. He led research work in other areas like domain specific search engines, multi-modal interfaces and assistive technologies, semantic transcoding, web mining, query systems, and classification for semi-structured data. Prior to this he worked on C++ compiler and runtime systems for massively parallel machines and for shared memory systems and also on retargetable compilers, program translators and generators. He has over 50 research publications and several patents to his credit. He has been a frequent speaker at several national and international technology conferences. He has advised 2 PhD and several Masters dissertations. He has a degree in Mathematics and a Masters in Computer Science and Engineering from the Indian Institute of Technology, Mumbai India and a PhD in computer science from Indiana University, Bloomington. His dissertation was on Modeling Control and Dynamic Data Parallelism in Object-Oriented Languages.