摘要
针对在线旅游快速增长的态势,本文研究基于协同过滤的旅游景点推荐算法。通过提取在线旅游网站上游客对桂林旅游景点的评价数据,使用协同过滤算法进行旅游景点推荐。实验结果表明:协同过滤算法完全可用于旅游景点推荐。
According to the fast development of online tourism, the paper proposed an algorithm for recommending trav- el destinations based on collaborative filtering. The algorithm first extract the evaluation data of the travel destinations of Guilin from an online tourism website, and then use collaborative filtering algorithm to recommend destinations for a tourist. The experimental results illustrated that collaborative algorithm can be used to recommend travel destinations.
出处
《计算技术与自动化》
2012年第4期116-119,共4页
Computing Technology and Automation
关键词
协同过滤
旅游景点推荐
最近邻算法
余弦相似度
collaborative filtering
recommendation of tourist sites
nearest neighbor algorithm
cosine similarity
