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Predicting web actions from HTML content
2002
Proceedings of the thirteenth ACM conference on Hypertext and hypermedia - HYPERTEXT '02
Most proposed Web prefetching techniques make predictions based on the historical references to requested objects. In contrast, this paper examines the accuracy of predicting a user's next action based on analysis of the content of the pages requested recently by the user. Predictions are made using the similarity of a model of the user's interest to the text in and around the hypertext anchors of recently requested Web pages. This approach can make predictions of actions that have never been
doi:10.1145/513338.513380
dblp:conf/ht/Davison02
fatcat:4twjj55jmvhjdo62lscf7nbrxy