Titlebook: Current Trends in Web Engineering; 15th International C Florian Daniel,Oscar Diaz Conference proceedings 2015 Springer International Publis

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书目名称Current Trends in Web Engineering影响因子(影响力)学科排名




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书目名称Current Trends in Web Engineering网络公开度学科排名




书目名称Current Trends in Web Engineering被引频次




书目名称Current Trends in Web Engineering被引频次学科排名




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书目名称Current Trends in Web Engineering年度引用学科排名




书目名称Current Trends in Web Engineering读者反馈




书目名称Current Trends in Web Engineering读者反馈学科排名

regale

0302-9743 ring, ICWE Workshops 2015 which was held in June 2015 in Rotterdam, The Netherlands. The 16 revised full papers were selected form 23 submissions and cover topics on natural language processing for informal text, pervasive Web technologies, trends and challenges, and mining in the social Web..978-3-

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majestic

An e-Recruitment System Exploiting Candidates’ Social Presenceces has made candidates’ social activity much more transparent, giving us the opportunity to infer features of candidate personality with web mining techniques. In this work, a novel approach is proposed and evaluated for automatically extracting candidates’ personality traits based on their social media use.

民间传说

Christopher P. Dick,Yannis P. Korkolisctionism to domains such as sociotechnical system modeling and design. Preliminary evidence to my claim is brought by considering the design of the software architecture designed for the telemonitoring service of Flemish project “Little Sister”.

ADAGE

https://doi.org/10.1007/978-3-662-47077-0ocial media aspects..The paper finally proposes the architecture of an extensible and modular support platform for these study activities, able to offer and integrate a number of tools and functionality oriented to the harmonization of aspects related to semantics, document warehousing and social media aspects.

ADAGE

https://doi.org/10.1007/978-3-662-48510-1em to adopt its input parameters to the extended dataset. In the evaluation part of this work, we benchmark the presented recommender system against two baseline approaches. We show that the performance of our proposed recommender is promising and clearly outperforms the baseline.

inquisitive

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