Tweetalyser: A Twitter Based Data Mining System with Recommendation Capabilities

机译：Tweetalyser：具有推荐功能的基于Twitter的数据挖掘系统

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Tweetalyser scientifically processes and stores the free information available in user tweets and extracts facts which are then used for item recommendation. The system proves that it is easy to tap into this data mine using low footprint social network APIs and third party technologies, in conjunction with the appropriate scientific algorithms. When at its full potential, Tweetalyser is able to provide useful information about a user which, when put in the right context can uncover true knowledge. From a social networking point of view, Tweetalyser has the potential of recommending and thus increasing attendance to various events. It also attracts newcomers who in turn crowdsource useful data elements to construct a truly formidable knowledge system.

机译：Tweetalyser科学地处理和存储用户推文中可用的免费信息，并提取事实，然后将其用于项目推荐。该系统证明，使用低占用空间的社交网络API和第三方技术以及适当的科学算法，很容易利用此数据挖掘。充分发挥潜力，Tweetalyser能够提供有关用户的有用信息，将其置于正确的上下文中可以发现真实的知识。从社交网络的角度来看，Tweetalyser具有推荐并因此增加参加各种活动的潜力。它还吸引了新人，他们反过来众包有用的数据元素以构建真正强大的知识系统。

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来源
《10th World conference on mobile and contextual learning》|2011年|358-367|共10页
会议地点 Beijing(CN)
作者
Matthew Montebello; Vanessa Camilleri; Maria Refalo;
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作者单位

University of Malta;

University of Malta;

University of Malta;

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会议组织
原文格式 PDF
正文语种 eng
中图分类教育;
关键词
Social Network Sites; Text Mining; Data Mining; Recommender Systems; Web 2.0;

机译：社交网站;文本挖掘;数据挖掘;推荐系统; Web 2.0;

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4. Tweetalyser: A Twitter Based Data Mining System with Recommendation Capabilities [C] . Matthew Montebello, Vanessa Camilleri, Maria Refalo World conference on mobile and contextual learning . 2011

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Tweetalyser: A Twitter Based Data Mining System with Recommendation Capabilities

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