Haystack: per-user information environments

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.

REFERENCES

• ADA98: Eytan Adar. Hybrid-Search and Storage of Semistructured Information. Master's Thesis, MIT, May 1998.
• AV98: AltaVista Discovery homepage http://dis covery, altavis~a, com.
• AP98: Apple Computer's Sherlock http://w~, apple, corn/sherlock/.
• ASD98: Mark Asoorian. Data Manipulation Services in the Haystack IR System. Master's Thesis, MIT, May 1998.
• BSY9Y: Marko Balabanovic , Yoav Shoham , Yeogirl Yun, An Adaptive Agent for Automated Web Browsing, Stanford University, Stanford, CA, 1997
• BU45: Vannevar Bush. As We may Think. Atlantic Monthly, 176(1)641-649, January 1945.
• CAR87: John M. Carroll , Mary Beth Rosson, Paradox of the active user, Interfacing thought: cognitive aspects of human-computer interaction, MIT Press, Cambridge, MA, 1987
• CKPT92: Douglass R. Cutting , David R. Karger , Jan O. Pedersen , John W. Tukey, Scatter/Gather: a cluster-based approach to browsing large document collections, Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval, p.318-329, June 21-24, 1992, Copenhagen, Denmark [doi>10.1145/133160.133214]
• ENG62: Douglas C. Engelbart Augmenting Human Intellect: A Conceptual Framework. Stanford Research Institute Technical Report, Menlo Park, CA, October 1962.
• FBY92: William B. Frakes , Ricardo Baeza-Yates, Information retrieval: data structures and algorithms, Prentice-Hall, Inc., Upper Saddle River, NJ, 1992
• 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.
• 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.
• KR97: Joshua Kramer. Agent Based Personalized Information Retrieval. Sc.M. Thesis, MIT, June 1997.
• LIE95: Henry Lieberman. "Letizia: An Agent That Assists Web Browsing," Proceedings of the International Joint Conference on Artificial Intelligence, Montreal, August 1995.
• LOW99: Aidan Low. A Folder-Based Graphical Interface for an Information Retrieval System. Master's Thesis, MIT, May 1999.
• MCH97: Jason McHugh , Serge Abiteboul , Roy Goldman , Dallas Quass , Jennifer Widom, Lore: a database management system for semistructured data, ACM SIGMOD Record, v.26 n.3, p.54-66, Sept. 1997 [doi>10.1145/262762.262770]
• 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.
• SAB94: Gerard Salton , James Allan , Chris Buckley, Automatic structuring and retrieval of large text files, Communications of the ACM, v.37 n.2, p.97-108, Feb. 1994 [doi>10.1145/175235.175243]
• AP98: Sleepycat Software http: //~. sleepycat, tom/.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.1 MODELS AND PRINCIPLES

Additional Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.1 Logical Design
          Subjects: Data models
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.1 Content Analysis and Indexing
          Subjects: Indexing methods

General Terms:
Design, Documentation, Human Factors, Management, Performance, Theory