In: Computing and Informatics, vol. 29, no. 4
Learning Profiles for Heterogeneous Distributed Information Sources
Year, pages: 2010, 571 - 584
Keywords: Peer-to-peer network, information retrieval, query routing
This paper experimentally studies approaches to the problem of describing heterogeneous information sources in distributed environments. In particular, we consider a scenario where a large number of end users can share and retrieve text documents over a peer-to-peer network. Descriptions (or profiles) of peers are useful in a number of applications, such as query routing, overlay construction and expert search. The approach proposed in this paper introduces a new learning method that boosts the weight of query terms in a peer's profile when the peer provides useful documents w.r.t. a given query. Experimental results show high potential for this method. Therefore, various extensions are proposed that involve more user interaction.
How to cite:
Witschel, H. 2010. Learning Profiles for Heterogeneous Distributed Information Sources. In Computing and Informatics, vol. 29, no.4, pp. 571-584. 1335-9150.
Witschel, H. (2010). Learning Profiles for Heterogeneous Distributed Information Sources. Computing and Informatics, 29(4), 571-584. 1335-9150.