id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_65i36k6w6rbvlbd47zygz7n6ae	Ahmad Hawalah	Dynamic user profiles for web personalisation	2015	42	.pdf	application/pdf	20999	1405	66	dynamic user profile, modelling user behaviour, web personalization, ontology, multi-agent systems Personalization systems may rely on different knowledge bases to learn and model user profiles including taxonomies (Eirinaki et al., 2006; Mooney et al., 1998), flat databases (Wu et al., 2001) and ontologies techniques have been proposed to discover and recommend new items to users based on the modelled profiles, such as using content-based models (Liu et al., 2008; Mooney and Roy, 2000; Middleton et al., 2004), The multi-agent system handles the users' browsing behaviour in general, and the change in their interests in particular and it consists of three layers to provide dynamic learning and adaptation: the session Figure 9: The accuracy results of applying the GEW algorithm on all web pages visited by all users with different α and γ values. Improving the mapping process in ontology-based user profiles for web personalization systems,	./cache/work_65i36k6w6rbvlbd47zygz7n6ae.pdf	./txt/work_65i36k6w6rbvlbd47zygz7n6ae.txt