Recommender systems in e-commerce
Proceedings of the 1st ACM conference on Electronic commerce
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Qtag: tagging as a means of rating, opinion-expressing, sharing and visualizing
SIGDOC '07 Proceedings of the 25th annual ACM international conference on Design of communication
Addressing uncertainty in implicit preferences
Proceedings of the 2007 ACM conference on Recommender systems
Improving new user recommendations with rule-based induction on cold user data
Proceedings of the 2007 ACM conference on Recommender systems
Case amazon: ratings and reviews as part of recommendations
Proceedings of the 2007 ACM conference on Recommender systems
What drives content tagging: the case of photos on Flickr
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tagommenders: connecting users to items through tags
Proceedings of the 18th international conference on World wide web
Ranking mechanisms in twitter-like forums
Proceedings of the third ACM international conference on Web search and data mining
Recommending additional study materials: binary ratings vis-à-vis five-star ratings
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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Recommender systems, long used in e-commerce to help users find salient items, also offer tools for virtual learning communities to let the community determine what items are most pertinent to its members. However, due to differences in numbers and goals, learning environments cannot simply copy e-commerce approaches to recommenders. This article discusses design issues related to using recommenders in learning environments and student perceptions of using rating and commenting to allow students to winnow additional reading materials in a university course website. Positive student perceptions show that recommenders can enhance virtual learning community experience. The rating feature in particular was viewed positively and perceived to influence selecting behaviour, while commenting, although also perceived positively, was seen as underused and less influential. In addition, the design of the system is evaluated in the light of the student feedback and potential improvements are discussed.