[PDF][PDF] A Survey of Collaborative Filtering Techniques
X Su - 2009 - core.ac.uk
As one of the most successful approaches to building recommender systems, collaborative
filtering (CF) uses the known preferences of a group of users to make recommendations or …
filtering (CF) uses the known preferences of a group of users to make recommendations or …
[PDF][PDF] Racofi: A rule-applying collaborative filtering system
M Anderson, M Ball, H Boley, S Greene, N Howse… - 2003 - r-libre.teluq.ca
In this paper 1 we give an overview of the RACOFI (Rule-Applying Collaborative Filtering)
multidimensional rating system and its related technologies. This will be exemplified with …
multidimensional rating system and its related technologies. This will be exemplified with …
Slope one predictors for online rating-based collaborative filtering
Rating-based collaborative filtering is the process of predicting how a user would rate a
given item from other user ratings. We propose three related slope one schemes with …
given item from other user ratings. We propose three related slope one schemes with …
Recommender systems in technology enhanced learning
Technology enhanced learning (TEL) aims to design, develop and test socio-technical
innovations that will support and enhance learning practices of both individuals and …
innovations that will support and enhance learning practices of both individuals and …
Recommender systems in e-learning environments: a survey of the state-of-the-art and possible extensions
With the development of sophisticated e-learning environments, personalization is
becoming an important feature in e-learning systems due to the differences in background …
becoming an important feature in e-learning systems due to the differences in background …
Collaborative recommendation of e‐learning resources: an experimental investigation
Repositories with educational resources can support the formation of online learning
communities by providing a platform for collaboration. Users (eg teachers, tutors and …
communities by providing a platform for collaboration. Users (eg teachers, tutors and …
Spam filtering: how the dimensionality reduction affects the accuracy of Naive Bayes classifiers
E-mail spam has become an increasingly important problem with a big economic impact in
society. Fortunately, there are different approaches allowing to automatically detect and …
society. Fortunately, there are different approaches allowing to automatically detect and …
Privacy-preserving collaborative filtering
Collaborative filtering (CF) techniques are becoming very popular on the Internet and are
widely used in several domains to cope with information overload. E-commerce sites use …
widely used in several domains to cope with information overload. E-commerce sites use …
Tensor completion with provable consistency and fairness guarantees for recommender systems
T Nguyen, J Uhlmann - ACM Transactions on Recommender Systems, 2023 - dl.acm.org
We introduce a new consistency-based approach for defining and solving
nonnegative/positive matrix and tensor completion problems. The novelty of the framework …
nonnegative/positive matrix and tensor completion problems. The novelty of the framework …
Collaborative filtering and inference rules for context‐aware learning object recommendation
Learning objects strive for reusability in e‐Learning to reduce cost and allow personalization
of content. We show why learning objects require adapted Information Retrieval systems. In …
of content. We show why learning objects require adapted Information Retrieval systems. In …