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基于移动轨迹融合的旅游阅读推荐服务
引用本文:张佳琳.基于移动轨迹融合的旅游阅读推荐服务[J].图书馆论坛,2021(1):111-118.
作者姓名:张佳琳
作者单位:哈尔滨商业大学研究生学院
基金项目:黑龙江省博士后科研启动金项目“基于移动场景融合的用户全景画像模型与关键技术研究”(项目编号:LBHQ19028);教育部人文社会科学规划基金项目“基于深度情景刻画的旅游推荐服务模型研究”(项目编号:18YJA?ZH128)研究成果。
摘    要:移动轨迹中蕴含着游客个体属性、旅游偏好、消费习惯、活动经历等重要信息,为旅游阅读的深层需求挖掘工作与场景化推荐服务提供了基础数据。基于移动轨迹数据与游客画像等信息,构建了融合式的移动轨迹节点模型及推荐应用,实现了旅游场景与游客阅读需求的画像描绘与形式化表述。结合游客移动轨迹与旅游阅读资源,设计了游客移动轨迹融合与旅游阅读资源推荐两个关键子算法。仿真实验结果证明:基于移动轨迹融合的旅游阅读推荐模型充分应用了移动轨迹中包含的游客阅读需求与旅游场景信息,能够较好地为游客提供推荐阅读服务,具有较高的读者推荐覆盖度、精确度以及性价比。

关 键 词:移动轨迹  旅游阅读  阅读推荐  信息融合  推荐模型

Tourist Reading Recommendation Model Based on Mobile Trajectory Fusion
ZHANG Jialin.Tourist Reading Recommendation Model Based on Mobile Trajectory Fusion[J].Library Tribune,2021(1):111-118.
Authors:ZHANG Jialin
Abstract:Mobile trajectory contains tourists’important information,such as individual attributes,tourism preferences,consumption habits,travel activities,etc.,so it could provide basic data for the mining of tourists’deep reading demand as well as the precise service of tourist reading recommendation.Based on moving trajectory,tourists’portrait and some other information,a fused moving trajectory node model is constructed,and an APP of tourist reading recommendation is programmed.Besides,based on tourists’moving trajectory and the available tourist resources,two fundamental sub-algorithms are designed.One is for the fusion of tourists’moving trajectory,and the other is for the recommendation of tourist reading resources.The simulation experiment shows that the tourist reading recommendation model based on mobile trajectory fusion,making full advantage of tourists’reading demand and scene information contained in mobile trajectory,could provide better tourist reading recommendation with wider coverage,higher accuracy and better cost performance.
Keywords:mobile trajectory  tourist service  reading recommendation  information fusion  recommendation model
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