Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Top 10 algorithms in data mining
Knowledge and Information Systems
Jess in action: rule-based systems in java
Jess in action: rule-based systems in java
The Top Ten Algorithms in Data Mining
The Top Ten Algorithms in Data Mining
TURank: twitter user ranking based on user-tweet graph analysis
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Mining emerging patterns by streaming feature selection
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A framework for summarizing and analyzing twitter feeds
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Entity-centric topic-oriented opinion summarization in twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Open domain event extraction from twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Factoring past exposure in display advertising targeting
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Finding interesting posts in Twitter based on retweet graph analysis
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
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Digital recruitment is increasingly becoming a popular avenue for identifying human subjects for various studies. The process starts with an online ad that describes the task and explains expectations. As social media has exploded in popularity, efforts are being made to use social media to recruit for new career opportunities. Particularly, LinkedIn and Twitter have enabled an emerging trend for matching individuals with possible opportunities based on their interests. This makes finding more relevant jobs easier for both employees and employers. There are, however, many unanswered questions about how best to do that. In this paper, we propose an innovative Twitter-based recruitment system for a smoking cessation nicotine patch study. The goals of the paper are to (1) provide the system specification and design, (2) propose the approach we have taken to solve the problem of digital recruitment, (3) present two new algorithms, one for Twitter user ranking and the other for digital recruitment using social media, and (4) present the promising outcome of the initial version of the system and summarize the results. This is the first effort to introduce a practical solution for digital recruitment campaigns that is large-scale, inexpensive, efficient and reaches out to individuals in real-time as their needs are expressed. A continuous update on how our system is performing, in real-time, can be viewed at https://twitter.com/TobaccoQuit.