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AQUA - Automatic Quality Assessment and Feedback in eLearning 2.0 The current development of Web 2.0 makes the distinction between author and reader fading away. Users now produce huge amounts of data which sometimes is of questionable quality. This leads to the problem of information overload: how to make the most of this information without overwhelming the users? One key challenge to solve this issue is to assess the quality of the user generated content. In AQUA, we seek to develop algorithms to assess the quality of content automatically. We focus on two sources for this assessment: (1) user generated content; (2) feedback by users of the content. To do so, we investigate techniques from the fields of natural language processing (NLP), information retrieval, and machine learning. So, in a nutshell, AQUA will answer the following questions: What is quality of information? How does it matter in information search? How to model the quality of user generated content? How far can you go with automatic methods in assessing quality? How to give feedback to users regarding quality? The AQUA project is associated with the project "Mining Lexical-Semantic Knowledge from Dynamic and Linguistic Sources and Integration into Question Answering for Discourse-Based Knowledge Acquisition in e-learning (QA-EL)".

If you've been using the imageIO.write method to save JPEG images, you may notice that some image lose quality. This is because you can't instruct the imagIO.write method to apply a certain compression quality to the images.

Suchmaschinen benötigen trotz ausgefeilter Algorithmen menschliche Bewerter der Suchresultate. Ein ziemlich aktueller Leitfaden vom März 2011 erklärt, wie Quality Rater gegen Spam vorgehen sollen und die Nützlichkeit von Webseiten einschätzen. Falls eine Seite nur dafür existiert Geld zu machen, ist die Seite Spam. . Die PDF-Datei der Rating Guidelines ist mit dem Datum 30.März 2011 [...]

The Animal Sniffer Plugin is used to build signatures of APIs and to check your classes against previously generated signatures. This plugin is called animal sniffer because the principal signatures that are used are those of the Java Runtime, and since Sun traditionally names the different versions of its Java Runtimes after different animals, the plugin that detects what Java Runtime your code requires was called "Animal Sniffer".