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Information Retrieval Research - SearchTools Topics Home Guide Tools Listing News Background Search About Us SearchTools.com: Background Topics Information Retrieval Research Information Retrieval is the academic discipline which underlies computer-based text search tools. It tends to concentrate on mathematical models and algorithms for retrieval quality, but there is a great deal of valuable research in the field.Useful IR Sites UC Berkeley School of Information Management and Systems (SIMS) Avi's alma mater and a great source of information. Also has excellent seminars. Berkeley Digital Library SunSITE A wide-ranging site dealing with many aspects of information retrieval and digital information. Also the home of the SWISH-E search engine. TREC (Text REtrieval Conference) A "shootout" conference between various approaches to indexing and searching for data in very large collections has identified the most successful approaches in information retrieval. Sponsored by the National Institutes of Standards & Technology, the conference helps translate theory into practice, and provides an objective testbed. Asian Text Retrieval Workshop Evaluation of Asian language text retrieval, question answering and text summarization, following on the US NIST TREC workshops. Also includes cross-language information retrieval in Chinese, Korean, Japanese and English. Runs from for a year each time, participants get a chance to perform tests, participate in discussions, receive evaluations of their software and publish their results. Anonymous participation is permitted. Web IR and IE (Information Extraction) Excellent links to conferences, books, research and other related topics, with short summaries of each link SIGIR: Special Interest Group on Information Retrieval of the ACM (Association for Computer Machinery). The group covers all aspects of information storage, retrieval and dissemination, including research strategies, output schemes and system evaluations. The site mainly provides information on conferences and calls for papers. Information Retrieval at the Illinois Institute of Technology Research group with projects in improving retrieval performance, efficiency, visualization, integrating structured data and text, and so on. Includes an excellent IR links page. See also: Natural Language Information Retrieval Cross-Language Information Retrieval Books and Articles Recommended Reading for IR Research Students [PDF, 1.5 MB] SIGIR Forum, December 2005 by Alistair Moffat, Justin Zobel and David Hawking.  Extensive annotated bibliography of the most important works in Information Retrieval since 1997. Covers topics including TREC results, scaling issues, index compression, multilingual retrieval, multimedia retrieval, statistical, vector and probabalistic approaches, evaluation and testing, and much more. After the Dot-Bomb: Getting Web Information Retrieval Right This Time FirstMonday, July 2002 by Marcia Bates An academic expert on usable information retrieval suggests that if web entrepreneurs and VCs had known about the history of IR and library experiences, they would not have wasted investments in problematic approaches such as "push" technology. She offers seven suggestions to improve web retrieval: use faceted rather than hierarchical classification; don't try for a single "true" classification (and avoid the term 'ontology'); use subject and domain information retrieval vocabulary; remember the Bradford distribution; plan for explosive growth; provide tools for "human content processing"; learn from the history of information retrieval. Some Batesian Inspiration Bloug, July 10, 2002 by Lou Rosenfeld A leading expert in Information Architecture and librarian comments on Marcia Bates' article. Vox Populi: The Public Searching of the Web December 2001 (v52n12), Journal of the American Society for Information Science and Technology, by Dietmar Wolfram, Amanda Spink, B.J. Jansen, Tefko Saracevic Looks at trends in web search between 1997 and 1999, including fewer terms in queries, fewer queries per "session", and users viewing fewer pages of results per query. Topics of searches also changed. Search Research from the WWW10 Conference SearchEngineWatch; June 18, 2001 by Danny Sullivan Short summaries of many technical articles relating to search and information retrieval presented at the Tenth World Wide Web Conference (May 1-5 2001, Hong Kong). A Case Study in Web Search using TREC Algorithms Proceedings of the WWW10 Conference, May 2-5 2001, Hong Kong, by Amit Singhal and Marcin Kaszkiel (formerly at AT&T Labs, now at Google) This experiment compared the standard information-retrieval algorithms used at TREC with Excite, Google, Lycos (FAST) and AltaVista. The experimenters used real queries from the Excite logs, limiting them to those for home pages or web sites, but not for obvious query word - matches with domain names such as "ibm". They then indexed and searched a 17.8 million web page collection using a successful standard TREC "ad-hoc" (interactive) algorithm. When they compared this to the commercial search engines, they found that the TREC algorithm was much less likely to find the home page desired. This is probably due to high-frequency matches of the query words in other pages. Searching the Web: The Public and Their Queries February 2001 (v52n3) Journal of the American Society of Information Science and Technology by Amanda Spink, Detmar Wolfram, B.J. Jansen, Tefko Saracevic Based on analysis of the Excite search engine session logs, finds that most searches are short and simple, about half search for one item per session, and almost people view only one or two results pages. While a small number of search terms are common, there are also many unique words. Most of these findings confirm the authors' earlier studies. An Investigation Into the Use of Simple Queries on Web IR Systems Information Research 2000, by B.J. Jansen Research looked at short queries (2 to 4 terms), comparing the first 10 results for simple queries of just the words against complex queries with Boolean or other query operators. Given the large amount of overlap between these two modes (about 7 out of 10 were the same), concludes that the search engines do well enough with just simple queries. The search engines are implementing the heuristic rule: Place at the top of the results list, those documents that contain all the query terms and that have all the query terms near each other. Next Generation Web Search: Setting Our Sites: In In IEEE Data Engineering Bulletin Special issue on Next Generation Web Search September 2000 by Marti Hearst Proposes that new site search engines provide better search experiences by using metadata and categories to integrate browsing features with search results. Also mentions other aspects of web search, including question-answering. The Web: The Next Generation, Proceedings of the 9th World Wide Web Conference (WWW9) Elsevier May 2000 ISBN 0-444-50515-6 Topics include rich query languages, search behavior, relevance ranking, context, XML and data mining. Information Processing & Management Pergamon / Elsevier Science International Journal, US $919 per year Covers current research in information retrieval, classification, user interaction, evaluation, etc. Volume 36, number 2 concentrates on Web search topics. Cognitive Strategies in Web Searching Proceedings of the Human Factors & the Web conference, June 3, 1999 by Raquel Navarro-Prieto, Mike Scaife, and Yvonne Rogers. Results of a small study on web-searching behavior, including cognitive strategies and interaction with the systems. Modern Information Retrieval Ricardo Baeza-Yates & Berthier Ribero-Neto, Addison-Wesley Longman, May 1999, ISBN 020139829x, $50 Introduction to the current state of information retrieval, including changes brought by the Web to a field that was previously oriented towards academia, libraries and corporate networks. Most of the book is not online, but the chapter on User Interfaces and Visualization in Modern Information Retrieval, written by UC Berkeley professor Marti Hearst, provides a valuable academic study of interfaces for information retrieval and searching, including graphical overviews and visualization. Get the book from Amazon or FatBrain.com and we'll get an affiliate fee. Managing Gigabytes: Compressing and Indexing Documents and Images (2nd edition) by Ian H. Witten, Alistair Moffat, and Timothy C. Bell. Morgan-Kaufmann Publishers; April 1999; ISBN 1558605703, $54.95 Covers the problems of very large document collections, including compression, indexing and querying options. Praised by Steve Kirsch of Infoseek, among others. See also the MG web site and the excellent reviews. If you want buy it from Amazon please use this link to support the SearchTools site. Report from the 1999 Search Engines Meeting April 1999 by Avi Rappoport. The presentations and discussions there provided insight into the variety of options for information retrieval, and the opportunities to go beyond basic text matching to locate the truly relevant materials. The 1998 meeting apparently had three main themes: the debt that current search engines owe to Information Retrieval research, the need to make searching easier, and the convergence of browse-oriented directories with full-text indexes. Mira: Evaluating interactive information retrieval April 1999, Glasgow UK Papers from a workshop attempting to measure effective interactions with IR systems. Information Storage and Retrieval Robert R. Korfhage: John Wiley & Sons, June, 1997 ISBN 04711143383, $49.95. Why text search matters Sunworld, September 1995 by Bill Rosenblatt Compares text searching to database field searching -- a very useful distinction. A World Wide Web Resource Discovery System WWW4 Conference, December 11-14, 1995 by Budi Yuwono et al. Useful introduction to Information Retrieval principals as applied to web searching. Information Retrieval, 2nd Edition [textbook] C.J. van Rijsbergen, 1979 Complete contents of this book available online: covers the state of research twenty years ago. Academic Research Search Engine Projects Cha-Cha A UC Berkeley research project, provides search results in outline form with the titles of the parent documents displayed, to provide a context. Rather than showing all the meta description / page start information in the results list, this system allows searchers to click on an icon and see that additional data in a frame on the right. Clever A research project in IBM's Almaden Labs concentrating on providing the best and most authoritative information on a topic. It does this by tracking the number of links pointing to a site or page, and the number of links pointing to other popular pages. Hypersearching the Web Scientific American June 1999 by Members of the Clever Project ($7.95 or digital subscription required) Emerge A project of the NCSA (National Center for Semiconductor Applications) to build a new search infrastructure. This will allow people to search for information across many large databases, even if they are structured in different ways. Sequitur A research project on automatically generating lists of common terms and phrases in context. The New Zealand Digital Library See also: Natural Language Information Retrieval Cross-Language Information Retrieval SOIF-RDM page for research on distributed indexing. Home Guide Tools Listing News Background Search About Us SearchTools.com - Copyright © 2001 - 2007 Search Tools Consulting This work is provided under a Creative Commons Sampling Plus 1.0 License. |
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