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Titlebook: Web Engineering; 11th International C S?ren Auer,Oscar Díaz,George A. Papadopoulos Conference proceedings 2011 Springer-Verlag GmbH Berlin

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發(fā)表于 2025-3-21 16:59:09 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Web Engineering
副標(biāo)題11th International C
編輯S?ren Auer,Oscar Díaz,George A. Papadopoulos
視頻videohttp://file.papertrans.cn/1022/1021487/1021487.mp4
概述up-to-date results.fast track conference proceedings.state-of-the-art report
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Web Engineering; 11th International C S?ren Auer,Oscar Díaz,George A. Papadopoulos Conference proceedings 2011 Springer-Verlag GmbH Berlin
描述This book constitutes the refereed proceedings of the 11th International Conference on Web Engineering, held in Paphos, Cyprus, in June 2011. The 22 revised full papers and 15 revised poster papers presented together with 2 invited lectures were carefully reviewed and selected from 90 submissions for inclusion in the book. The papers topics cover a broad range of areas, namely, the Semantic Web, Web Services, Mashups, Web 2.0, Web quality, Web development, etc.
出版日期Conference proceedings 2011
關(guān)鍵詞Web-based recommender systems; adaptive hypermedia systems; fault tolerance; model driven development; r
版次1
doihttps://doi.org/10.1007/978-3-642-22233-7
isbn_softcover978-3-642-22232-0
isbn_ebook978-3-642-22233-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag GmbH Berlin Heidelberg 2011
The information of publication is updating

書目名稱Web Engineering影響因子(影響力)




書目名稱Web Engineering影響因子(影響力)學(xué)科排名




書目名稱Web Engineering網(wǎng)絡(luò)公開度




書目名稱Web Engineering網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Web Engineering被引頻次




書目名稱Web Engineering被引頻次學(xué)科排名




書目名稱Web Engineering年度引用




書目名稱Web Engineering年度引用學(xué)科排名




書目名稱Web Engineering讀者反饋




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Analyzing Cross-System User Modeling on the Social Webontext of tag and resource recommendations in Flickr, Twitter and Delicious. Our evaluation shows that the cross-system user modeling strategies outperform other strategies significantly and have tremendous impact on the recommendation quality in cold-start settings where systems have sparse information about their users.
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Learning Semantic Relationships between Entities in Twitter 80%. We further analyze the performance in learning relationships that are valid only for a certain time period and reveal that for those types of relationships Twitter is a suitable source as it allows for discovering trending topics with higher accuracy and with lower delay in time than traditional news media.
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Learning Semantic Relationships between Entities in Twitter 80%. We further analyze the performance in learning relationships that are valid only for a certain time period and reveal that for those types of relationships Twitter is a suitable source as it allows for discovering trending topics with higher accuracy and with lower delay in time than traditional news media.
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A Framework for Concern-Sensitive, Client-Side Adaptationpowerful tools for applying this approach to some typical tasks such as trip planning. We illustrate the paper with simple though realistic examples and compare our work with others in the same field.
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Instantiating Web Quality Models in a Purposeful Wayn them. Hence, improving is driven by understanding these relationships, namely, ‘depends on’, and ‘influences’ in alignment with the ISO 25010 quality life cycle model. This is illustrated with a case study showing the underlying strategy from model instantiation to application improvement.
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Tools and Architectural Support for Crowdsourced Adaptation of Web Interfacesn architecture for creating and sharing adaptations as well as suggesting and applying these in matching contexts. In addition, we discuss the underlying crowdsourcing principles and present a set of visual tools that facilitate the adaptation process.
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Tools and Architectural Support for Crowdsourced Adaptation of Web Interfacesn architecture for creating and sharing adaptations as well as suggesting and applying these in matching contexts. In addition, we discuss the underlying crowdsourcing principles and present a set of visual tools that facilitate the adaptation process.
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