user-centric similarity and proximity measures for spatial personalization
文献类型:期刊论文
作者 | Yang Yanwu ; Claramunt Christophe ; Aufaure Marie-Aude ; Zhang Wensheng |
刊名 | INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING
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出版日期 | 2010 |
卷号 | 6期号:2页码:59-78 |
关键词 | Conceptual Map Similarity Measure Spatial Personalization Spatial Proximity User-Centric |
ISSN号 | 1548-3924 |
学科主题 | Computer Science, Software Engineering |
收录类别 | SCI |
语种 | 英语 |
公开日期 | 2011-05-23 |
附注 | Spatial personalization can be defined as a novel way to fulfill user information needs when accessing spatial information services either on the web or in mobile environments The research presented in this article introduces a conceptual approach that models the spatial information offered to a given user into a user-centered conceptual map, and spatial proximity, and similarity measures that considers her/his location, interests and preferences This approach is based on the concepts of similarity in the semantic domain, and proximity in the spatial domain, but taking into account users personal information Accordingly, these spatial proximity and similarity measures could directly support derivation of personalization services and refinement cif the way spatial information is accessible to the user in spatially related applications These modeling approaches are illustrated by some experimental case studies |
源URL | [http://124.16.136.157/handle/311060/9800] ![]() |
专题 | 软件研究所_软件所图书馆_期刊论文 |
推荐引用方式 GB/T 7714 | Yang Yanwu,Claramunt Christophe,Aufaure Marie-Aude,et al. user-centric similarity and proximity measures for spatial personalization[J]. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING,2010,6(2):59-78. |
APA | Yang Yanwu,Claramunt Christophe,Aufaure Marie-Aude,&Zhang Wensheng.(2010).user-centric similarity and proximity measures for spatial personalization.INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING,6(2),59-78. |
MLA | Yang Yanwu,et al."user-centric similarity and proximity measures for spatial personalization".INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING 6.2(2010):59-78. |
入库方式: OAI收割
来源:软件研究所
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