<meta http-equiv="content-type" content="text/html; charset=utf-8">Call for Papers: Enriching Information Retrieval workshop at SIGIR 2011 (ENIR 2011)<br><br>Workshop website: <a href="http://select.cs.cmu.edu/meetings/enir2011/" target="_blank">http://select.cs.cmu.edu/meetings/enir2011/</a><br>
<br><br>Topic<br>=====<br>Most information retrieval tasks are now embedded in a rich context. Documents no longer exist on their own; they are connected to other documents, they are associated with users and their position in a social network, and they can be mapped onto a variety of ontologies. Similarly, retrieval tasks have become more interactive and are solidly embedded in a user's geospatial, social, and historical context. We conjecture that new breakthroughs in information retrieval will not come from smarter algorithms that better exploit existing information sources, but from new retrieval algorithms that can intelligently use and combine new sources of contextual metadata.<br>
With the rapid growth of web-based applications, such as search engines, Facebook, and Twitter, development of effective and personalized information retrieval techniques and user interfaces is essential. The amount of shared information and social networking on the web has also grown, exposing new metadata sources like Wikipedia and ODP, which provides classification information for a wide range of topics, as well as tagging and social networking sites like Flickr, Twitter, and Facebook, each of which provides additional metadata and social context. Due to the explosion of social networks and other metadata sources, it is an opportune time to identify ways to exploit such metadata in IR tasks such as user modeling, query understanding, and personalization, to name a few. Although the use of traditional metadata such as html text, web page titles, and anchor text, is fairly well-understood, the use of category information, user behavior data, and geographical information is just beginning to be studied.<br>
<br><br>Themes<br>======<br>The goal of Enriching Information Retrieval is to explore how new and emerging sources of contextual metadata can be used for improving information retrieval - including ranking, personalization, diversification, and faceted search. In particular, we aim to focus on three themes: the identification of novel types and sources of contextual metadata (e.g., new ontologies, usage patterns, locality information, readability, temporal information), the automatic acquisition and distillation of metadata (e.g., via learning or through implicit data), and the design of methods for exploiting new metadata sources in IR tasks. We encourage participants and submissions from a variety of backgrounds including machine learning, information retrieval, natural language processing, and human-computer interaction. Submissions that address the following questions and example topics will be encouraged (but not limited to):<br>
* What new sources of metadata can inform retrieval?<br> o Social network graphs, user interaction data, temporal data, ODP, Wikipedia, etc.<br> * What retrieval algorithms can exploit metadata?<br> o Ranking, classification, summarization algorithms<br>
* What usability impact will new metadata have on information retrieval tasks?<br> o Building user profiles using novel metadata sources<br> o Query understanding or session intent identification using novel metadata sources<br>
o Faceted interfaces<br><br>Submission Information:<br>Submissions should be identified for consideration as a research paper or position paper. All submissions should be 2 pages, with an additional page for references, tables, and/or figures, and formatted in double-column ACM SIG proceedings format and submitted as PDF files through EasyChair. Submissions will be reviewed by the program committee and acceptance will be based on the submission's relevance to the workshop and the novelty and impact of the results.<br>
<br>Important Dates:<br> May 3, 2011, 11:59 EDT Paper submission due<br> May 24, 2011 Acceptance announcement<br> May 31, 2011 Camera-ready paper submission due<br> July 24-28, 2011 Full-day workshop at SIGIR 2011 (exact date TBA)<br>
<br><br>Organizers<br> Paul N. Bennett, Microsoft Research<br> Khalid El-Arini, Carnegie Mellon University<br> Thorsten Joachims, Cornell University<br> Krysta M. Svore, Microsoft Research (Contact)<br><br><br>Program Committee:<br>
Eytan Adar, University of Michigan<br> Lars Backstrom, Facebook<br> Ben Carterette, University of Delaware<br> Key-Sun Choi, KAIST<br> Kevyn Collins-Thompson, Microsoft Research<br> Fernando Diaz, Yahoo! Research<br>
Jacob Eisenstein, Carnegie Mellon University<br> Susan Gauch, University of Arkansas<br> Ralf Herbrich, Microsoft<br> Matthew Hurst, Microsoft<br> Chao Liu, Microsoft Research<br> Yoelle Maarek, Yahoo! Research<br>
Donald Metzler, University of Southern California<br> Jennifer Neville, Purdue University<br> Bo Pang, Yahoo! Research<br> Filip Radlinski, Microsoft<br> Patrick Schmitz, Ludicrum Enterprises<br> Xuehua Shen, BlueKai<br>
Pu Wang, George Mason University<br> Yisong Yue, Carnegie Mellon University<br><br>Contact email: <a href="mailto:enir2011@easychair.org">enir2011@easychair.org</a> or <a href="mailto:ksvore@microsoft.com">ksvore@microsoft.com</a><br>
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