An Algorithmic Framework for Adaptive Web Content
نویسندگان
چکیده
In this work a twofold algorithmic framework for the adaptation of web content to the users’ choices is presented. The main merits discussed are a) an optimal offline site adaptation – reorganization approach, which is based on a set of different popularity metrics and, additionally, b) an online personalization mechanism to emerge the most “hot” (popular and recent) site subgraphs in a recommendation list adaptive to the users’ individual preferences.
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تاریخ انتشار 2006