Mining Associative Relations from Website Logs and their Application to Context-Dependent Retrieval Using Spreading Activation
نویسندگان
چکیده
We have devized a methodology that mines sequential navigation patterns from a website's logs to enable us to identify the most signi cant associative links in the networks. Spreading activation can then be applied to the generated network of weighted hyperlinks enabling the content-dependent, semantic retrieval of nodes in the network. This approach to information retrieval avoids many of the existing problems in IR associated to synonymy and polysemy in lexically matching query approaches.
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