Eytan Adar
David Karger
ABSTRACT
Traditional Information Retrieval (IR) systems are designed to provide uniform access to centralized corpora by large numbers of people. The Haystack project emphasizes the relationship between a particular individual and his corpus. An individual's own haystack priviliges information with which that user interacts, gathers data about those interactions, and uses this metadata to further personalize the retrieval process. This paper describes the prototype Haystack system.
- ADA98.Eytan Adar. Hybrid-Search and Storage of Semistructured Information. Master's Thesis, MIT, May 1998.Google Scholar
- AV98.AltaVista Discovery homepage http://dis covery, altavis~a, com.Google Scholar
- AP98.Apple Computer's Sherlock http://w~, apple, corn/sherlock/.Google Scholar
- ASD98.Mark Asoorian. Data Manipulation Services in the Haystack IR System. Master's Thesis, MIT, May 1998.Google Scholar
- BSY9Y.Marko Balabanovic, Yoav Shoham, and Yeogirl Yun. An adaptive agent for automated web b~owsing. Technical Report CS-TN-97-52, Stanford University, 1997. Google ScholarDigital Library
- BU45.Vannevar Bush. As We may Think. Atlantic Monthly, 176(1)641-649, January 1945.Google Scholar
- CAR87.John M. Carroll and Mary Beth Rosson. "Paradox of the Active User" in Interfacing Thought: Cognitive Aspects of Human Computer Interaction, ed. John M. Carroll., MiT Press, Cambridge MA, 1987, pp. 81-111. Google ScholarDigital Library
- CKPT92.Douglass Cutting, David R. Karger, Jan Pedersen, and John W. Tukey. "Scatter/gather: A cluster-based approach to browsing large document collections." In Proceedings of the 15~h Annual International A CM SI- Gill Uon/erence on Research and Development in Information Retrieval, pages 318-329, Copenhagen, Denmark, 1992. Google ScholarDigital Library
- ENG62.Douglas C. Engelbart Augmenting Human Intellect: A Conceptual Framework. Stanford Research Institute Technical Report, Menlo Park, CA, October 1962.Google Scholar
- FBY92.William B. Frakes and Ricardo Baeza-Yates, editors. Information Retrieval: Data Structures and Algorithms. Prentice Hall, Engtewood Cliffs, New Jersey, 1992. Google ScholarDigital Library
- FRE95.Eric Freeman and Scott Fertig. "Lifestreams: Organizing your Electronic Life" AAAI Fall Symposium: AI Applications in Knowledge Navigation and Retrieval, November 1995, Cambridge, MA.Google Scholar
- JOA95.Thorsten Joachmis, Tom Mitchell, Dayne Freitag, and Robert Armstrong. "WebWatcher: Machine Learning and gypertext," Proceedings of 15th International Joint Conference on Artificial Intelligence, 1997.Google Scholar
- KR97.Joshua Kramer. Agent Based Personalized Information Retrieval. Sc.M. Thesis, MIT, June 1997.Google Scholar
- LIE95.Henry Lieberman. "Letizia: An Agent That Assists Web Browsing," Proceedings of the International Joint Conference on Artificial Intelligence, Montreal, August 1995. Google ScholarDigital Library
- LOW99.Aidan Low. A Folder-Based Graphical Interface for an Information Retrieval System. Master's Thesis, MIT, May 1999.Google Scholar
- MCH97.Jason McHugh, Serge Abiteboul, Roy Goldman, Dallan Quass, and Jennifer Widom. "Lore: A Database Management System for Semistructured Data." SIGMOD Record, 26(3):54-66, September 1997. Google ScholarDigital Library
- RHO96.Bradley J. Rhodes and Thad Starner. "Rembeerance Agent: A continuosly running automated information retrieval system," The Proceedings of the First International Conference on The Practical Application of Intelligent Systems and Multi Agent Technology, April 1996, London.Google Scholar
- SAB94.Gerard Salton, James Allan, and Chris Buckley. Automatic Structuring and Retrieval of Large Text Files. Communications of the AGM, 37(2):97-108, February 1994. Google ScholarDigital Library
- AP98.Sleepycat Software http: //~. sleepycat, tom/.Google Scholar
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