Viewing morphology as an inference process
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Modern Information Retrieval
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
How and why people Twitter: the role that micro-blogging plays in informal communication at work
Proceedings of the ACM 2009 international conference on Supporting group work
Microblogging for Language Learning: Using Twitter to Train Communicative and Cultural Competence
ICWL '009 Proceedings of the 8th International Conference on Advances in Web Based Learning
Using twitter to recommend real-time topical news
Proceedings of the third ACM conference on Recommender systems
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Information interaction in 140 characters or less: genres on twitter
Proceedings of the third symposium on Information interaction in context
Discovering users' topics of interest on twitter: a first look
AND '10 Proceedings of the fourth workshop on Analytics for noisy unstructured text data
Classifying latent user attributes in twitter
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
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Proceedings of the 73rd ASIS&T Annual Meeting on Navigating Streams in an Information Ecosystem - Volume 47
Tweets from Justin Bieber's heart: the dynamics of the location field in user profiles
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 2nd International Conference on Learning Analytics and Knowledge
Tweets reveal more than you know: a learning style analysis on twitter
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
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E-learning systems often include a personalization component, which adapts the learning content to the learner's particular needs. One obstacle to personalization is the question of how to obtain a learner profile for a learner who just starts using an E-learning system without overwhelming her with questions or unsuitable learning material. One possible solution to this problem lies in the social Web. If a learner is active on the social Web, a considerable amount of information about her is already available. Depending on the social Web service(s) the learner uses, her tweets, photos, bookmarks, etc. are publicly accessible. We investigate if it is feasible to exploit the social Web, more specifically the social Web service Twitter, to infer a learner's knowledge profile in order to overcome the "cold-start" problem in E-learning systems.