基于知识与位置的个性化旅游景点推荐方法

Knowledge and position based individualized scenic spots recommendation method

Abstract

The invention discloses a knowledge and position based individualized scenic spots recommendation method, and mainly overcomes the deficiency of waste of communication bandwidth resources caused by a single knowledge-based recommendation mode. The recommendation method is implemented by the steps that 1, a complete recommendation system consisting of a user, an auxiliary positioning facility and a recommendation calculating system is established; 2, the recommendation calculating system is initialized; 3, the user sends a recommendation request to the recommendation calculating system in a current position; 4, a recommendation calculating system position processing module makes a response to the request from the user; 5, the recommendation calculating system performs a query dominating algorithm for alternative scenic spots; and 6, the recommendation calculating system finally outputs a recommended scenic spots set. According to the recommendation method, by utilizing the dominating query algorithm in a database, the recommendation values of the alternative scenic spots are comprehensively compared, so that the communication traffic between the user and the recommendation system is reduced; the effectiveness and reliability of the individualized recommendation result are ensured in combination with historical preferences of the user; and therefore, the recommendation method can be applied to the fields of scenic spots or route recommendation.
本发明公开了一种基于位置与知识的个性化旅游景点推荐方法,主要解决单一基于知识推荐浪费通信带宽资源的不足。其实现步骤为:1.建立一个由用户、辅助定位设施、推荐计算系统构成的完整推荐系统;2.对此推荐计算系统进行初始化;3.用户在其当前位置向此推荐计算系统发送推荐请求;4.推荐计算系统位置处理模块响应来自用户的请求;5.推荐计算系统对备选景点执行查询支配算法;6.推荐计算系统最终输出推荐的旅游景点集合。本发明通过利用数据库中的支配查询算法,全面比较备选景点的推荐价值,减少了用户与推荐系统之间的通信量,并结合用户的历史偏好,保证了满足个性化的推荐结果的有效性和可靠性,可应用于旅游景点或路线推荐领域。

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