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本文针对云南旅游的特殊性提出了一种行之有效的推荐方法:基于游客对景点评价信息的文本分析并结合云南各景点具有的季节性、热度指数这两种因素的推荐方法。该方法可以解决推荐系统的冷启动问题,有效的解决了在缺少游客信息的前提下可以对游客进行精准推荐。实验结果表明该推荐系统能够识别出隐含的适用于个性化需求的推荐规则,并且在推荐的实时性与准确性上都有较好效果,可以满足游客对景点个性化精准推荐需求。
This paper presents an effective recommendation method for the particularity of tourism in Yunnan Province. Based on the textual analysis of tourists’ evaluation information of scenic spots and the combination of the seasonality and heat index of Yunnan scenic spots, these two factors are recommended. The method can solve the problem of recommending the cold start of the system and effectively solve the problem that tourists can be accurately recommended in the absence of tourists information. The experimental results show that the recommendation system can identify implicit recommendation rules that are suitable for individual needs and have good effect on the real-time recommendation and accuracy of the recommendation, so as to meet the tourists’ individualized and accurate recommendation of attractions.