tile——为上下文感知应用程序分类和使用上下文信息的模型

Esther Meng-Yoke Tan, S. Foo, D. Goh, Y. Theng
{"title":"tile——为上下文感知应用程序分类和使用上下文信息的模型","authors":"Esther Meng-Yoke Tan, S. Foo, D. Goh, Y. Theng","doi":"10.1109/ICDIM.2009.5356787","DOIUrl":null,"url":null,"abstract":"Mobile information retrieval is characterized by the need to provide the right amount of relevant information for the right context so as to maximize the effectiveness of the limited screen size and processing capability of hand held devices. Context would typically include user profiles, user preferences, location, time of day, and others. To design better mobile information retrieval systems that typically draw information from various sources there is a need for a better understanding of these contextual properties that have an impact of design and delivery of such information. In this paper, we derive a set of 42 context properties and classify them using a model known as TILES (Temporal, Identity, Location, Environmental and Social). These properties were derived from literature in context-related studies, context-aware applications from the mobile tourism industry and augmented with focus group study findings. The TILES model, while having the highest applicability in the mobile tourism industry, can be adapted to other domains and serve as a framework to better aid the design and development of context-aware information retrieval systems in these domains.","PeriodicalId":300287,"journal":{"name":"2009 Fourth International Conference on Digital Information Management","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Tiles — A model for classifying and using contextual information for context-aware applications\",\"authors\":\"Esther Meng-Yoke Tan, S. Foo, D. Goh, Y. Theng\",\"doi\":\"10.1109/ICDIM.2009.5356787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile information retrieval is characterized by the need to provide the right amount of relevant information for the right context so as to maximize the effectiveness of the limited screen size and processing capability of hand held devices. Context would typically include user profiles, user preferences, location, time of day, and others. To design better mobile information retrieval systems that typically draw information from various sources there is a need for a better understanding of these contextual properties that have an impact of design and delivery of such information. In this paper, we derive a set of 42 context properties and classify them using a model known as TILES (Temporal, Identity, Location, Environmental and Social). These properties were derived from literature in context-related studies, context-aware applications from the mobile tourism industry and augmented with focus group study findings. The TILES model, while having the highest applicability in the mobile tourism industry, can be adapted to other domains and serve as a framework to better aid the design and development of context-aware information retrieval systems in these domains.\",\"PeriodicalId\":300287,\"journal\":{\"name\":\"2009 Fourth International Conference on Digital Information Management\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fourth International Conference on Digital Information Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDIM.2009.5356787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Digital Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDIM.2009.5356787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

移动信息检索的特点是需要为正确的上下文提供适量的相关信息,以最大限度地发挥手持设备有限的屏幕尺寸和处理能力。上下文通常包括用户配置文件、用户首选项、位置、时间等。为了设计更好的移动信息检索系统,通常从各种来源提取信息,需要更好地理解这些对此类信息的设计和传递有影响的上下文属性。在本文中,我们导出了一组42个上下文属性,并使用称为TILES(时间、身份、位置、环境和社会)的模型对它们进行分类。这些属性来源于上下文相关研究的文献、移动旅游业的上下文感知应用,以及焦点小组研究的结果。虽然TILES模型在移动旅游行业中具有最高的适用性,但它可以适用于其他领域,并作为一个框架,更好地帮助这些领域中上下文感知信息检索系统的设计和开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Tiles — A model for classifying and using contextual information for context-aware applications
Mobile information retrieval is characterized by the need to provide the right amount of relevant information for the right context so as to maximize the effectiveness of the limited screen size and processing capability of hand held devices. Context would typically include user profiles, user preferences, location, time of day, and others. To design better mobile information retrieval systems that typically draw information from various sources there is a need for a better understanding of these contextual properties that have an impact of design and delivery of such information. In this paper, we derive a set of 42 context properties and classify them using a model known as TILES (Temporal, Identity, Location, Environmental and Social). These properties were derived from literature in context-related studies, context-aware applications from the mobile tourism industry and augmented with focus group study findings. The TILES model, while having the highest applicability in the mobile tourism industry, can be adapted to other domains and serve as a framework to better aid the design and development of context-aware information retrieval systems in these domains.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Ontology based entity disambiguation with natural language patterns Tiles — A model for classifying and using contextual information for context-aware applications Effectively and efficiently detect web page duplication From state-based to event-based contextual security policies P2P applied in CMS for advertising
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1