Who Do You Want to Be Today? Web Personae for Personalised Information Access
Personalised context sensitivity is the Holy Grail of web information retrieval. As a first step towards this goal, we present the Web Personae personalised search and browsing system. We use well-known information retrieval techniques to develop and track user models. Web Personae differ from previous approaches in that we model users with multiple profiles, each corresponding to a distinct topic or domain. Such functionality is essential in heterogeneous environments such as the Web. We introduce Web Personae, describe an algorithm for learning such models from browsing data, and discuss applications and evaluation methods.
KeywordsQuery Expansion User Interest Document Cluster Browsing Behaviour Current Persona
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- 1.S. Brin and L. Page. The anatomy of a large-scale hypertextual web search engine. In Proc. 7th International World Wide Web Conference, 1998.Google Scholar
- 2.D. Gibson, J. Kleinberg & P. Raghavan. Inferring Web communities from link topology. In Proc. ACM Conf. Hypertext & Hypermedia, 1998.Google Scholar
- 3.G. Salton & M. McGill. Introduction to Modern Information Retrieval. McGraw-Hill, 1983Google Scholar
- 4.D. Cutting, D. Karger, J. Pederson, J. Tukey. Scatter/Gather: A Cluster-Based Approach to Browsing Large Document Collections. In Proc. SIGIR, 1992.Google Scholar
- 5.E. Han, et al. WebACE: A web agent for document categorization and exploration. In Proc. 2 nd Int. Conf. on Autonomous Agents, 1998Google Scholar
- 6.L. Chen, K. Sycara. WebMate: A personal agent for browsing and searching. In Proc. 2 nd Int. Conf. on Autonomous Agents, 1998Google Scholar
- 7.Y. Maarek, I. Ben Shaul. Automatically Organising Bookmarks per Contents. In Proc. WWW5, 1996.Google Scholar
- 8.H. Lieberman. Letizia: An agent that assists web browsing. In Proc. IJCAI-95, Montreal, CanadaGoogle Scholar
- 9.T. Joachims, D. Freitag & T. Mitchell. WebWatcher: A tour guide for the World Wide Web, In Proc. IJCAI-97, Nagoya, JapanGoogle Scholar
- 10.Chien Chin Chen, Meng Cheng Chen, Yeali Sun. A Web Document Personalisation User Model and System. In Proc. User Modelling, 2001.Google Scholar