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首页> 外文会议>Database and Expert Systems Applications; Lecture Notes in Computer Science; 4080 >Location-Based Service with Context Data for a Restaurant Recommendation
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Location-Based Service with Context Data for a Restaurant Recommendation

机译：基于上下文的餐厅推荐推荐服务

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摘要

Utilizing Global Positioning System (GPS) technology, it is possible to find and recommend restaurants for users operating mobile devices. For recommending restaurants, Personal Digital Assistants or cellular phones only consider the location of restaurants. However, a user's background and environment information is assumed to be directly related to recommendation quality. In this paper, therefore, a recommender system using context information and a decision tree model for efficient recommendation is presented. This system considers location context, personal context, environment context, and user preference. Restaurant lists are obtained from location context, personal context, and environment context using the decision tree model. In addition, a weight value is used for reflecting user preferences. Finally, the system recommends appropriate restaurants to the mobile user. For this experiment, performance was verified using measurements such as k-fold cross-validation and Mean Absolute Error. As a result, the proposed system obtained an improvement in recommendation performance.
机译：利用全球定位系统（GPS）技术，可以为操作移动设备的用户查找和推荐餐厅。为了推荐餐厅，个人数字助理或移动电话仅考虑餐厅的位置。但是，假定用户的背景和环境信息与推荐质量直接相关。因此，在本文中，提出了一种使用上下文信息和决策树模型进行有效推荐的推荐系统。该系统考虑位置上下文，个人上下文，环境上下文和用户偏好。使用决策树模型从位置上下文，个人上下文和环境上下文中获取餐厅列表。另外，权重值用于反映用户偏好。最后，系统向移动用户推荐合适的餐馆。对于此实验，使用诸如k倍交叉验证和平均绝对误差之类的测量结果来验证性能。结果，所提出的系统在推荐性能上获得了改善。

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