In consideration of the lack of personalization in the recommendation algorithms of tourist attractions,this paper proposed a recommendation algorithm of tourist attractions based on trust relationship and context. Firstly,it used user trust instead of the similarity to solve the problem of data sparse based on the traditional collaborative filtering algorithm. Secondly,it used user scenario context information to reflect the personalized needs of users. Finally,it established a recommended model of tourist...
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