计算机与数字工程Issue(9)：2115-2117,2160,4.DOI:10.3969/j.issn.1672-9722.2019.09.002
基于综合相似度的旅游景点推荐∗
Recommendation of Travel Destinations Based on Synthetic Similarity
摘要
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.关键词
用户特征/用户兴趣/综合相似度/旅游景点/协同推荐Key words
user characteristics/user interest/synthetic similarity/travel destinations/collaborative recommendation分类
信息技术与安全科学引用本文复制引用
麻风梅..基于综合相似度的旅游景点推荐∗[J].计算机与数字工程,2019,(9):2115-2117,2160,4.基金项目
国家社会科学基金项目"我国中西部南北旅游大通道构建的思考"(编号:13XJY026) （编号:13XJY026）
国家自然科学基金青年基金项目"弱图像信号的物理建模及其复原算法研究"(编号:61801005) （编号:61801005）
陕西省社科基金项目(编号:2014H13) （编号:2014H13）
安康市科技局项目(编号:2017AK05-03)资助. （编号:2017AK05-03）
