Information filtering for context-sensitive browsing
Browsing is one of the most popular ways to gather information in database with hypertext structure. In the browsing, a user continuously searches nodes which include useful information for her/him. Her/his interests, then, often change while the browsing. We call this type of browsing “context-sensitive browsing” in order to distinguish it from browsing with consistent interests. In this paper, we propose a method to filter the links in hypertext based on the user's browsing history. We assume that even when a user browses, following changeable interests without a clear task, the user's current interests are reflected in the content and order of nodes in the browsing history. The filtering method models user's current interests from the user's browsing history and puts the next choices in order of the nearness to the interests. We call the filtering method “context-sensitive filtering”. We have developed a browsing support system with this method for an encyclopedia in CD-ROM format. The results of an experimental evaluation, by real users, are also reported.
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- Armstrong, R., Freitag, D., Joachims, T., Mitchell, T.: 1995, ‘WebWatcher: A Learning Apprentice for the World Wide Web'. On-line Working Notes of AAAI Symposium on Information Gathering from Distributed, Heterogeneous Environments (available at http://WWW.isi.edu/sims/knoblock/sss95/info-gathering.html).Google Scholar
- Balabanovic, M., Shoham, Y.,: 1995, ‘Learning Information Retrieval Agents: Experiments with Automated Web Browsing'. On-line Working Notes of AAAI Spring Symposium on Information Gathering from Distributed, Heterogeneous Environments, (available at http: //WWW.isi.edu/sims/knoblock/sss95/info-gathering.html).Google Scholar
- Beaumont, I., Brusilovsky, P.: 1995, ‘Adaptive Educational Hypermedia: From Ideas to Real Systems'. Proc. of ED-MEDIA'95 — World Conference on Educational Multimedia and Hypermedia, pp.93–98.Google Scholar
- Belkin, N.J., Croft, W.B.: 1992, ‘Information Filtering and Information Retrieval: Two Sides of the Same Coin?'. CACM, Vol.35, No. 12, pp.29–38.Google Scholar
- Hirashima, T., K.Hachiya, A.Kashihara, J.Toyoda:(accepted), ‘Information Filterng Using User's Context on Browsing in Hypertext', User Modeling and User-Adapted Interaction.Google Scholar
- Holte, R.C. & Drummond, C.: 1994,'A Learning Apprentice for Browsing'. Proc. of AAAI Spring Symposium on Software Agents.Google Scholar
- Lieberman, H.: 1995, ‘Letizia: An Agent That Assists Web Browsing'. Proc. of IJCAI95, pp.924–929.Google Scholar
- Knoblock, C. & Levy, A.(Eds.): 1995, ‘On-line Working Notes of the AAAI Spring Symposium Series on Information Gathering from Distributed, Heterogeneous Environments'. (http://www.isi.edu/sims/knoblock/sss95 /proceedings.html).Google Scholar
- Maes, P.: 1994, ‘Agents that Reduce Work and Information Overload'. CACM, Vol.37, No.7, pp.31–40.Google Scholar
- Schneiderman, B.: 1993, ‘Designing the User Interface'. Addison-Wesley Publishing.Google Scholar