The main research task of current tourism recommendation system is to provide personal recommendation serves for users and improve the accuracy of recommendations and the satisfaction of users.In this paper,the similarities and differences between tourism recommender system and traditional recommender systemare were analyzed.And the research status of tourism recommender technologies was investigated from six aspects,i.e.,recommendation based on content,recommendation based on collaborative-filtering,recommendation based on knowledge,recommendation based on demographics,hybrid recommendation and recommendation based on location-awareness.As a summary of these research works,a general framework for tourism recommender system was proposed.Finally,six key and difficult problems on tourism recommender systems were presented,and some research topics which might bring great progress to tourism recommender systems were emphasized.
NETL
NSTL
万方数据
维普
