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《Science of Surveying and Mapping》 2011-03
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Personalized recommendations on spatial information services

MOU Nai-xia,LIU Wen-bao,ZHANG Ling-xian,SUNCui-yu(Key Laboratory of Geomatics and Digital Technology of Shandong Province/ Geomatics College,Shandong University of Science and Technology,Qingdao 266510,China)  
Due to its passive,uniform and indistinctive characteristics to all customers,the current spatial information service is unable to meet various customer-specified requirements effectively.To advance humane and intelligent characters in spatial information services,a concept of personalized services in the spatial information field was proposed in this paper.Interrelated personalized information services in digital libraries,e-commerce and web services were discussed to inspire and identify key research points on spatial information services.These points included user modeling technologies,personalized recommendation algorithms,service quality evaluation approaches and methods on service control using spatial positions and spatial relationships.Since there are limited international studies available on spatial information personalized services,the core research points identified here were expected to invite further investigations to advance spatial information services.
【Fund】: 中国博士后科研基金面上资助(20090461255);; 山东省基础地理信息与数字化技术重点实验室开放基金(SD080712);; 国家科技支撑计划(2006BAJ15B02);; 山东科技大学“春蕾”计划(2008AZZ019)
【CateGory Index】: P208
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