The Eigentrust algorithm for reputation management in P2P networks
WWW '03 Proceedings of the 12th international conference on World Wide Web
On audience activities during presentations
Journal of Computing Sciences in Colleges
Time weight collaborative filtering
Proceedings of the 14th ACM international conference on Information and knowledge management
Expertise networks in online communities: structure and algorithms
Proceedings of the 16th international conference on World Wide Web
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Backchan.nl: integrating backchannels with physical space
CHI '08 Extended Abstracts on Human Factors in Computing Systems
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
A few bad votes too many?: towards robust ranking in social media
AIRWeb '08 Proceedings of the 4th international workshop on Adversarial information retrieval on the web
Dynamics of a Collaborative Rating System
Advances in Web Mining and Web Usage Analysis
Ranking mechanisms in twitter-like forums
Proceedings of the third ACM international conference on Web search and data mining
Ranking Approaches for Microblog Search
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Temporal top-k search in social tagging sites using multiple social networks
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Live interest meter: learning from quantified feedback in mass lectures
Proceedings of the Third International Conference on Learning Analytics and Knowledge
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The digital backchannel Backstage aims at supporting active and socially enriched participation in large class lectures by improving the social awareness of both lecturer and students. For this purpose, Backstage provides microblog-based communication for fast information exchange among students as well as from audience to lecturer. Rating enables students to assess relevance of backchannel messages for the lecture. Upon rating a ranking of messages can be determined and immediately presented to the lecturer. However, relevance is of temporal nature. Thus, the relevance of a message should degrade over time, a process called aging. Several aging approaches can be found in the literature. Many of them, however, rely on the physical time which only plays a minor role in assessing relevance in lecture settings. Rather, the actuality of relevance should depend on the progress of a lecture and on backchannel activity. Besides, many approaches are quite difficult in terms of comprehensibility, interpretation and handling. In this article we propose an approach to aging that is easy to understand and to handle and therefore more appropriate in the setting considered.