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» Market-Inspired Approach to Collaborative Learning
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KDD
2006
ACM
170views Data Mining» more  KDD 2006»
15 years 10 months ago
Classification features for attack detection in collaborative recommender systems
Collaborative recommender systems are highly vulnerable to attack. Attackers can use automated means to inject a large number of biased profiles into such a system, resulting in r...
Robin D. Burke, Bamshad Mobasher, Chad Williams, R...
81
Voted
SIGIR
2003
ACM
15 years 2 months ago
Collaborative filtering via gaussian probabilistic latent semantic analysis
Collaborative filtering aims at learning predictive models of user preferences, interests or behavior from community data, i.e. a database of available user preferences. In this ...
Thomas Hofmann
108
Voted
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
15 years 10 months ago
Data Sparsity Issues in the Collaborative Filtering Framework
Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
NORDICHI
2004
ACM
15 years 2 months ago
Designing a collaborative virtual environment for introducing pupils to complex subject matter
Mission Queen Maud Land (MQML) is a collaborative virtual environment that was developed to explore new ways to stimulate secondary school pupils to collaborate in grasping comple...
Ragnhild Halvorsrud, Simen Hagen
CRIWG
2003
14 years 11 months ago
Exploring Interaction Behaviour and Performance of Online Collaborative Learning Teams
Abstract. Studying and analysing the collaborative behaviour of online learning teams and how this behaviour is related and affects task performance is a complex process. This pap...
Thanasis Daradoumis, Fatos Xhafa, Joan Manuel Marq...