Recommendation of Travel Destinations Based on Synthetic Similarity
MA Fengmei
Abstract：In order to retrieve the required information to meet the preferance and needs of users from a large number of tour?ism resources,this paper puts forward the concept of synthetic similarity,which is a complete description of the characteristics and interest of the user. Based on this,a recommendation method is provided based on user synthetic similarity. It combines characteris?tic information,users'offered interest and the users'browsing behavior,analyzes its synthetic similarity. The heat of the scenic spot is predicted according to the visiting information of k users with the highest degree of synthetic similarity to be used for the evalua?tion of the recommended scenic spots,and the heat of the top N will be recommended. The proposed algorithm can effectively im?prove the accuracy of recommendation and will enhance the user experience and make online travel websites more competitive.
Keywords：user characteristicsuser interestsynthetic similaritytravel destinationscollaborative recommendation
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 2115-2117,2160 )