Paper recommender systems: a literature survey
In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …
recommender systems. We reviewed these articles and present some descriptive statistics in …
An anatomization of research paper recommender system: Overview, approaches and challenges
The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …
recommender systems which have become very popular and gained a lot of research …
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 …
Smart recommendation for an evolving e-learning system: Architecture and experiment
In this paper, we proposed an evolving e-learning system which can adapt itself both to the
learners and the open the web and pointed out the differences of making recommendations …
learners and the open the web and pointed out the differences of making recommendations …
Personal recommender systems for learners in lifelong learning networks: the requirements, techniques and model
H Drachsler, HGK Hummel… - International Journal of …, 2008 - inderscienceonline.com
This article argues that there is a need for Personal Recommender Systems (PRSs) in
Learning Networks (LNs) in order to provide learners with advice on the suitable learning …
Learning Networks (LNs) in order to provide learners with advice on the suitable learning …
Collaborative recommendation of e‐learning resources: an experimental investigation
N Manouselis, R Vuorikari… - Journal of Computer …, 2010 - Wiley Online Library
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 …
Tutorialbank: A manually-collected corpus for prerequisite chains, survey extraction and resource recommendation
The field of Natural Language Processing (NLP) is growing rapidly, with new research
published daily along with an abundance of tutorials, codebases and other online …
published daily along with an abundance of tutorials, codebases and other online …
A multidimensional paper recommender: Experiments and evaluations
Paper recommender systems in the e-learning domain must consider pedagogical factors,
such as a paper's overall popularity and learner background knowledge-factors that are less …
such as a paper's overall popularity and learner background knowledge-factors that are less …
Towards effective research-paper recommender systems and user modeling based on mind maps
J Beel - arXiv preprint arXiv:1703.09109, 2017 - arxiv.org
While user-modeling and recommender systems successfully utilize items like emails, news,
and movies, they widely neglect mind-maps as a source for user modeling. We consider this …
and movies, they widely neglect mind-maps as a source for user modeling. We consider this …
Beyond learners' interest: personalized paper recommendation based on their pedagogical features for an e-learning system
Delivering personalized recommendations for e-learning is different from that in many other
domains (ie e-commerce, news, etc.) in that we should not only consider users' interest, but …
domains (ie e-commerce, news, etc.) in that we should not only consider users' interest, but …