情境环境下基于用户画像的旅游产品推荐算法研究

Research on the Recommendation Algorithm of Tourism Products Based on User Portrait in Situational Environment

针对目前旅游景点推荐效果不够理想的问题,充分考虑景点推荐中的情境因素和用户需求,研究情境环境下基于用户画像的旅游产品个性化推荐算法.算法从用户基本信息和行为信息的获取出发,借助标签化表示技术,构建出相应的用户画像模型,然后引入用户的情境因素.在综合考虑用户相似度和用户情境的基础上,达到高质量个性化推荐的目的.通过验证表明,用户画像的基础上,充分考虑用户的情境信息,能够更准确地体现用户兴趣的偏好,获得更佳的推荐结果.

Aiming at the problem that the recommendation effect of tourist attractions is not ideal,this paper gives full consideration to the situation factors and user needs in the recommendation of tourist attractions.This algorithm starts from the acquisition of basic information and behavior information of the user,builds the corresponding user portrait model with the help of label representation technology,and then introduces the user’s situational factors.Based on the consideration of user similarity and user situation,the aim of high quality personalized recommendation is achieved.Through the verification,it is proved that the user’s picture is based on the user’s situational information,which can more accurately reflect the user’s interest preference and obtain better recommendation results.