id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_l6q4o7kqwnh3jmqca4gmv4sqxm	Joan Borràs	Intelligent tourism recommender systems: A survey	2014	20	.pdf	application/pdf	17733	1778	56	recommender systems (Ricci, 2002) aim to match the characteristics of tourism and leisure resources or attractions with the user These systems are especially useful if they can automatically learn the user's preferences through the analysis of her explicit or implicit feedback (Sieg, Mobasher, & Burke, 2007). systems (Buhalis, 2003) provide a good opportunity for mobile services that help visitors by offering recommendations based on section we analyze which interfaces are commonly used by tourism recommender systems to interact with users, discussing especially the differences between mobile and Web-based approaches. This section analyses the user interfaces of recent tourism recommender systems. To do so they proposed an ontology-based tourism recommender that allows the automatic and dynamic integration of heterogeneous on-line travel information. the different mobile tourism services (restaurant, hotel, sightseeing spot, user profile, and tour plan recommendation). There are several systems that provide an initial set of recommended activities (or an initial plan), with which the user can	./cache/work_l6q4o7kqwnh3jmqca4gmv4sqxm.pdf	./txt/work_l6q4o7kqwnh3jmqca4gmv4sqxm.txt