[HTML][HTML] ConceptGCN: Knowledge concept recommendation in MOOCs based on knowledge graph convolutional networks and SBERT
Abstract Massive Open Online Courses (MOOCs) have gained popularity in the technology-
enhanced learning (TEL) domain. To enhance the learning experience in MOOCs …
enhanced learning (TEL) domain. To enhance the learning experience in MOOCs …
[HTML][HTML] Semantics aware intelligent framework for content-based e-learning recommendation
E-learning accounts for the emergence of re-skilling, up-skilling, and augmenting the
traditional education system by providing knowledge delivery. The meaningful learning …
traditional education system by providing knowledge delivery. The meaningful learning …
On the negative perception of cross-domain recommendations and explanations
Recommender systems typically operate within a single domain, for example,
recommending books based on users' reading habits. If such data is unavailable, it may be …
recommending books based on users' reading habits. If such data is unavailable, it may be …
[HTML][HTML] Justification vs. Transparency: Why and How Visual Explanations in a Scientific Literature Recommender System
Significant attention has been paid to enhancing recommender systems (RS) with
explanation facilities to help users make informed decisions and increase trust in and …
explanation facilities to help users make informed decisions and increase trust in and …
When the machine learns from users, is it helping or snooping?
Media systems that personalize their offerings keep track of users' tastes by constantly
learning from their activities. Some systems use this characteristic of machine learning to …
learning from their activities. Some systems use this characteristic of machine learning to …
Recommendations with benefits: exploring explanations in information sharing recommender systems for temporary teams
Increased use of collaborative technologies and agile teamwork models has led to a greater
need for temporary teams. Unfortunately, they lack the normal team formation processes that …
need for temporary teams. Unfortunately, they lack the normal team formation processes that …
Interactive explanation with varying level of details in an explainable scientific literature recommender system
Explainable recommender systems (RS) have traditionally followed a one-size-fits-all
approach, delivering the same explanation level of detail to each user, without considering …
approach, delivering the same explanation level of detail to each user, without considering …
Are interactive and tailored data visualizations effective in promoting flu vaccination among the elderly? Evidence from a randomized experiment
Objective Although interactive data visualizations are increasingly popular for health
communication, it remains to be seen what design features improve psychological and …
communication, it remains to be seen what design features improve psychological and …
Trust and Transparency in Recommender Systems
C Siepmann, MA Chatti - arXiv preprint arXiv:2304.08094, 2023 - arxiv.org
Trust is long recognized to be an important factor in Recommender Systems (RS). However,
there are different perspectives on trust and different ways to evaluate it. Moreover, a link …
there are different perspectives on trust and different ways to evaluate it. Moreover, a link …
[PDF][PDF] What if Interactive Explanation in a Scientific Literature Recommender System.
Despite the vast amount of research on interactive recommender systems (RS) and
explainable recommendation, there is a lack of research on how to incorporate interactivity …
explainable recommendation, there is a lack of research on how to incorporate interactivity …