Abstract
We are focusing on information access tasks characterized by large volume of hypermedia connected technical documents, a need for rapid and effective access to familiar information, and long-term interaction with evolving information. The problem for technical users is to build and maintain a personalized task-oriented model of the information to quickly access relevant information. We propose a solution which provides user-centered adaptive information retrieval and navigation. This solution supports users in customizing information access over time. It is complementary to information discovery methods which provide access to new information, since it lets users customize future access to previously found information. It relies on a technique, called Adaptive Relevance Network, which creates and maintains a complex indexing structure to represent personal user's information access maps organized by concepts. This technique is integrated within the Adaptive HyperMan system, which helps NASA Space Shuttle flight controllers organize and access large amount of information. It allows users to select and mark any part of a document as interesting, and to index that part with user-defined concepts. Users can then do subsequent retrieval of marked portions of documents. This functionality allows users to define and access personal collections of information, which are dynamically computed. The system also supports collaborative review by letting users share group access maps. The adaptive relevance network provides long-term adaptation based both on usage and on explicit user input. The indexing structure is dynamic and evolves over time. Learning and generalization support flexible retrieval of information under similar concepts. The network is geared towards more recent information access, and automatically manages its size in order to maintain rapid access when scaling up to large hypermedia space. We present results of simulated learning experiments.
Article PDF
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
Agosti, M., Melucci, M., and Crestani, F.: 1995, ‘Automatic Authoring and Construction of Hypermedia for Information Retrieval’. Multimedia Systems 3, 15–24.
Armstrong, R., Freitag, D., Joachims, T. and Mitchell, T.: 1995, ‘WebWatcher: A Learning Apprentice for the World Wide Web’. Proc. AAAI Spring Symposium on Information Gathering from Distributed, Heterogeneous Environments, Stanford, California.
Barreau, D. K.: 1995, ‘Context as a Factor in Personal Information Management Systems’. Journal of the American Society for Information Science 46(5), 327–339.
Belew, R. K.: 1989, ‘Adaptive Information Retrieval: Using a Connectionist Representation to Retrieve and Learn about Documents’. Proc. Twelfth SIGIR Conference, Cambridge, Massachusetts, pp. 11–20.
Belkin, N. J., Marchetti, P. G., and Cool, C.: 1993, ‘Braque: Design of an Interface to Support User Interaction in Information Retrieval’. Information Processing and Management 29(3), 325–344.
Bergstrom, P. and Riedl, J.: 1994, ‘Group Lens: A Collaborative Filtering System for Usenet News’. MSc thesis.
Bradshaw, J. M., Richards, T., Fairweather, P., Buchanan, C., Guay, R., Madigan, D., and Boy, G. A.: 1993, ‘New Directions for Comupter-Based Training and Performance Support in Aerospace’. Proc. Fourth Int. Conference on Human-Machine Interaction and Artificial Intelligence in Aerospace, Toulouse, France.
Bradshaw, J. M., Dutfield, S., Benoit, P., and Wooley, J. D.: 1996, ‘KAoS: Toward an Industrial-Strength Open Agent Architecture’. To appear in: J. M. Bradshaw (ed.): Software Agents. AAAI/MIT Press.
Boy, G. A..: 1991, ‘Indexing Hypertext Documents in Context’. Proc. Third ACM Conference on Hypertext, San Antonio, Texas, pp. 51–61.
Brusilovsky, P.: 1994, ‘Adaptive Hypermedia: An Attempt to Analyze and Generalize’. Proc. Workshop on Adaptive Hypertext and Hypermedia, Fourth Int. Conference on User Modeling, Hyannis, Ma. URL:http://www.cs.bgsu.edu/hypertext/adaptive/Brusilovsky.html
Callan, J. P., Croft, W. B., and Harding, S. M.; 1992, ‘The Inquiry Retrieval System’. Proc. Third Int. Conference on Database and Expert System Applications, pp. 78–83.
Chen, H.: 1995, ‘Machine Learning for Information Retrieval: Neural Networks, Symbolic Learning, and Genetic Algorithms’. Journal of the American Society for Information Science 46(3), 194–216.
Chen, J. and Mathé, N.: 1994, ‘Adaptive Dynamic Hypertext based on Paths of Traversal’. Proc. Workshop on Adaptive Hypertext and Hypermedia, Fourth Int. Conference on User Modeling, Hyannis, Ma. URL:http://www.cs.bgsu.edu/hypertext/adaptive/Mathe.html
Dumais, S. T., Furnas, G. W., and Landauer, T. K.: 1988, ‘Using Latent Semantic Analysis to Improve Access to Textual Information’. Proc. Sixth Conference on Human Factors in Computing Systems (CHI'88), pp. 281–285.
Fischer, G. and Stevens, C.: 1991, ‘Information Access in Complex, Poorly Structured Information Spaces’. Proc. Eighth ACM Conference on Human Factors in Computing Systems (CHI'91), New Orleans, Louisiana, pp. 63–70.
Fuhr, N.: 1992, ‘Probabilistic Models in Information Retrieval’. The Computer Journal 35(3), 243–255.
Goldberg, D., Nichols, D., Oki, B. M., and Terry, D.: 1992, ‘Using Collaborative Filtering to Weave an Information Tapestry’. Communications of the ACM 35(12), 61–70.
Haines, D. and Croft, W. B.: 1993, ‘Relevance Feedback and Inference Networks’. Proc. Sixteenth Int. ACM SIGIR Conference, Pittsburgh, Pennsylvania, pp. 2–10.
Höök, K., Karlgren, J., Waern, A., Dahlback, N., Jansson, C. G., Karlgren, K., and Lemaire, B.: 1996: ‘A Glass Box Approach to Adaptive Hypermedia’. User Modeling and User Adapted Interaction 6, this issue.
Jennings, A, and Higichi, H.: 1993, ‘A Personal News Service Based on a User Model Neural Network’. IEICE Transactions on Information Systems 75(2), 198–209.
Kaplan, C., Fenwick, J., and Chen, J.: 1993, ‘Adaptive Hypertext Navigation Based on User Goals and Context’. User Modeling and User Adapted Interaction 3, 193–220.
Katsumoto, M., Fukuda, M., and Shibata, Y: 1995, ‘Distributed Design Image Database based on Perceptional Link Method’. Proc. of the 1995 Pacific Workshop on Distributed Multimedia Systems (DMS'95), pp. 76–83.
Kibby, M. R. and Mayes, J. T.: 1989, ‘Towards Intelligent Hypertext’. In: R. McAleese (ed.): Hypertext Theory into Practice. Albex, pp. 164–172.
Klark, P., and Manber, U.: 1995, ‘Developing a Personal Internet Assistant’. Proc. World Conference on Educational Multimedia and Hypermedia (ED-MEDIA'95), Graz, Austria, pp. 372–377.
Lashkari, L., Metral, M., and Maes, P.: 1994, ‘Collaborative Interface Agents’. Proc. Twelfth National Conference on Artificial Intelligence, Seattle, Washington, pp. 444–449.
Maes, P. and Kozierok, R.: 1993, ‘Learning Interface Agents’. Proc. Eleventh National Conference of Artificial Intelligence, Washington, D.C., pp. 459–465.
Mathé, N. and Chen, J.: 1994, ‘A User-Centered Approach to Adaptive Hypertext based on an Information Relevance Model’. Proc. Fourth Int. Conference on User Modeling, Hyannis, Massachusetts, pp. 107–114.
Monk, A.: 1989, ‘The Personal Browser: A Tool for Directed Navigation in Hypertext Systems’. Interacting with Computers 1(2), 190–196.
Pargman, D.: 1994, no title. Proc. Workshop on User Modeling in Information Retrieval, Fourth Int. Conference on User Modeling, Hyannis, Massachusetts.
Rabinowitz, J., Mathé, N., and Chen, R. J.: 1995, ‘Adaptive HyperMan: A Customizable Hypertext System for Reference Manuals’. Proc. AAAI Fall Symposium on Artificial Intelligence Applications in Knowledge Navigation, Cambridge, Massachusetts, pp. 110–115.
Robertson, S. E.: 1977, ‘The Probability Ranking Principle in IR’. Journal of Documentation 33(4), 294–304.
Robertson, S. E. and Spark Jones, K.: 1976, ‘Relevance Weighting of Search terms’. Journal of the American Society for Information Science 27, 129–146.
Rose, D. E. and Belew, R. K.: 1991, ‘A Connectionist and Symbolic Hybrid for Improving Legal Research’. Int. Journal of Man-Machine Studies 35(1), 1–33.
Salton, G.: 1989, Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computers. Addison Wesley, Reading, MA.
Salton, G., Wong, A., and Yang, C.S.: 1975, ‘A Vector Space Model for Automatic Indexing’. ACM Communications 18(11), 613–620.
Sheth, B. and Maes, P.: 1993: ‘Evolving Agents for Personalized Information Filtering’. Proc. Ninth IEEE Conference on Artificial Intelligence for Applications, pp. 345–352.
Torrance, M.: 1995, ‘Active Notebook: A Personal and Group Productivity Tool for Managing Information’. Proc. AAAI Fall Symposium on Artificial Intelligence Applications in Knowledge Navigation and Retrieval, Cambridge, Massachusetts, pp. 131–135.
Tudhope, D., Taylor, C., and Benyon-Davies, P.: 1995, ‘Navigation via Similarity in Hypermedia and Information Retrieval’. In: R. Kuhlen and M. Rittberger (eds.): Proc. Conference on Hypertext, Information Retrieval, Multimedia (HIM'95), Universitätsverlag Konstanz, Konstanz, pp. 203–218.
Turtle, H. and Croft, W.B.: 1991, ‘Evaluation of an Inference Network-Based Retrieval Model’. ACM Transactions on Information Systems 9(3), 187–222.
van Rijsbergen, C.: 1979, Information Retrieval. 2nd Edition, Butterworths, London.
Vassileva, J.: 1994, ‘A Practical Architecture for User Modeling in a Hypermedia-Based Information System’. Proc. Fourth Int. Conference on User Modeling, Hyannis, Massachusetts, pp. 115–120.
Vassileva, J.: 1996, ‘A Task-Centered Approach for User Modeling in a Hypermedia Office Documentation System’. User Modeling and User Adapted Interaction 6, this issue.
Author information
Authors and Affiliations
Additional information
Dr. Mathé and Dr. Chen are contractors with Recom Technologies, Inc.
Rights and permissions
About this article
Cite this article
Mathé, N., Chen, J.R. User-centered indexing for adaptive information access. User Model User-Adap Inter 6, 225–261 (1996). https://doi.org/10.1007/BF00143968
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF00143968