A Study of Scenic Spot Living Facility Recommendation Based on Collaborative Filtering
Economic and Trade Department, Guangzhou Vocational College of Science and Technology, Guangzhou, Guangdong, China
For the collection of massive complex information, the collaborative filtering system can work as a highly efficient information screening tool. It can recommend reasonable information reserve with multi angles according to the living service facility information of the scenic spots. The collaborative filtering system can collect information and forecast rating results based on users’ preference. According to different recommendation goals, the collaborative filtering system can recommend results for user feedback and give feedback of the recommendation results in various forms.
Key words: collaborative filtering system / filtering system / living service facilities of scenic spots
© Owned by the authors, published by EDP Sciences, 2015
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