| 引用本文: | 景宁,王跃华,钟志农,等.地理社交网络位置推荐.[J].国防科技大学学报,2015,37(5):1-8.[点击复制] |
| JING Ning,WANG Yuehua,ZHONG Zhinong,et al.Location recommendation on location-based social networks[J].Journal of National University of Defense Technology,2015,37(5):1-8[点击复制] |
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| 地理社交网络位置推荐 |
| 景宁, 王跃华, 钟志农, 吴烨 |
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(国防科技大学 电子科学与工程学院， 湖南 长沙 410073)
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| 摘要: |
| 地理社交网络将地理位置信息融合进传统社交网络，将人们的现实生活和虚拟世界的生活连接在一起。作为地理社交网络的一个重要应用，位置推荐可以向人们推荐其可能感兴趣的位置，为人们的出行提供参考，极大地便利了人们的生活。在此背景下，论文研究了地理社交网络位置推荐的基本概念，分析了位置推荐常用的方法，描述了典型的数据集及推荐效果的评估方法，指出了位置推荐面临的主要问题，并展望了未来可能的研究方向，为相关领域的研究提供参考。 |
| 关键词: 地理社交网络 位置推荐 协同过滤 数据稀疏性 冷启动 |
| DOI：10.11887/j.cn.201505001 |
| 投稿日期：2015-07-01 |
| 基金项目:高性能GIS关键技术与软件系统（2015AA123901） |
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| Location recommendation on location-based social networks |
| JING Ning, WANG Yuehua, ZHONG Zhinong, WU Ye |
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(College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China)
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| Abstract: |
| Location-based social networks, which add geo-information into traditional social networks, link people’s virtual and real world lives. As an important application of location-based social networks, location recommendation can recommend places that people may be interested in, provide choices for people’s out-going and make people’s lives much more convenient. Against this background, the relevant concepts of location recommendation, the methods it usually uses, data sets it deals with, evaluation methods for recommendation effectiveness and the problems it faces were delved and the future possible research directions were forecasted, hoping to provide more useful reference for researches in relevant fields. |
| Keywords: location-based social networks location recommendation collaborative filtering data sparsity cold start |
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