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A systematic literature review on educational recommender systems for teaching and learning: research trends, limitations and opportunities
Recommender systems have become one of the main tools for personalized content filtering
in the educational domain. Those who support teaching and learning activities, particularly …
in the educational domain. Those who support teaching and learning activities, particularly …
Collaborative filtering recommender systems taxonomy
In the era of internet access, recommender systems try to alleviate the difficulty that
consumers face while trying to find items (eg, services, products, or information) that better …
consumers face while trying to find items (eg, services, products, or information) that better …
Diversity, serendipity, novelty, and coverage: a survey and empirical analysis of beyond-accuracy objectives in recommender systems
What makes a good recommendation or good list of recommendations? Research into
recommender systems has traditionally focused on accuracy, in particular how closely the …
recommender systems has traditionally focused on accuracy, in particular how closely the …
How good your recommender system is? A survey on evaluations in recommendation
Recommender Systems have become a very useful tool for a large variety of domains.
Researchers have been attempting to improve their algorithms in order to issue better …
Researchers have been attempting to improve their algorithms in order to issue better …
A survey of serendipity in recommender systems
Recommender systems use past behaviors of users to suggest items. Most tend to offer
items similar to the items that a target user has indicated as interesting. As a result, users …
items similar to the items that a target user has indicated as interesting. As a result, users …
Novelty and diversity in recommender systems
Novelty and diversity have been identified, along with accuracy, as prominent properties of
useful recommendations. Considerable progress has been made in the field in terms of the …
useful recommendations. Considerable progress has been made in the field in terms of the …
Content-based recommender systems: State of the art and trends
Recommender systems have the effect of guiding users in a personalized way to interesting
objects in a large space of possible options. Content-based recommendation systems try to …
objects in a large space of possible options. Content-based recommendation systems try to …
Beyond accuracy: evaluating recommender systems by coverage and serendipity
When we evaluate the quality of recommender systems (RS), most approaches only focus
on the predictive accuracy of these systems. Recent works suggest that beyond accuracy …
on the predictive accuracy of these systems. Recent works suggest that beyond accuracy …
Deep learning models for serendipity recommendations: A survey and new perspectives
Serendipitous recommendations have emerged as a compelling approach to deliver users
with unexpected yet valuable information, contributing to heightened user satisfaction and …
with unexpected yet valuable information, contributing to heightened user satisfaction and …
An overview of recommendation techniques and their applications in healthcare
With the increasing amount of information on the internet, recommendation system (RS) has
been utilized in a variety of fields as an efficient tool to overcome information overload. In …
been utilized in a variety of fields as an efficient tool to overcome information overload. In …