Distvae: distributed variational autoencoder for sequential recommendation
L Li, J **ahou, F Lin, S Su - Knowledge-Based Systems, 2023 - Elsevier
Recommender systems (RS) play a vital role in daily life due to their practical significance.
As a branch of RS, the sequential recommendation has attracted much attention because of …
As a branch of RS, the sequential recommendation has attracted much attention because of …
[HTML][HTML] Power to the learner: Towards human-intuitive and integrative recommendations with open educational resources
Educational recommenders have received much less attention in comparison with e-
commerce-and entertainment-related recommenders, even though efficient intelligent tutors …
commerce-and entertainment-related recommenders, even though efficient intelligent tutors …
Choice-based personalization in MOOCs: Impact on activity and perceived value
Personalization in education describes instruction that is tailored to learners' interests,
attributes, or background and can be applied in various ways, one of which is through …
attributes, or background and can be applied in various ways, one of which is through …
Learner-centered Ontology for Explainable Educational Recommendation
Ontologies form the core of knowledge graphs, which act as faithful, semantic-rich sources
for training models in delivering explainable recommendations. These models learn to …
for training models in delivering explainable recommendations. These models learn to …
Unsupervised audio-visual lecture segmentation
A Gupta, CV Jawahar… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Over the last decade, online lecture videos have become increasingly popular and have
experienced a meteoric rise during the pandemic. However, video-language research has …
experienced a meteoric rise during the pandemic. However, video-language research has …
Towards proactive information retrieval in noisy text with Wikipedia concepts
T Ahmed, S Bulathwela - arxiv preprint arxiv:2210.09877, 2022 - arxiv.org
Extracting useful information from the user history to clearly understand informational needs
is a crucial feature of a proactive information retrieval system. Regarding understanding …
is a crucial feature of a proactive information retrieval system. Regarding understanding …
Leveraging semantic knowledge graphs in educational recommenders to address the cold-start problem
In informational recommenders, significant challenges arise from the need to handle the
semantic and hierarchical structure between knowledge areas. This work aims to make …
semantic and hierarchical structure between knowledge areas. This work aims to make …
Unsupervised audio-visual lecture segmentation
Over the last decade, online lecture videos have become increasingly popular and have
experienced a meteoric rise during the pandemic. However, video-language research has …
experienced a meteoric rise during the pandemic. However, video-language research has …
Semi-global sequential recommendation via EM-like federated training
L Li, Z Zhang, C Huang, J Zhang - Expert Systems with Applications, 2024 - Elsevier
Sequential recommendation has garnered significant attention due to its effectiveness in
assisting individuals in finding items of interest. The sequential recommendation methods …
assisting individuals in finding items of interest. The sequential recommendation methods …
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback
Y Qiu, K Djemili, D Elezi, A Shalman… - arxiv preprint arxiv …, 2023 - arxiv.org
This work describes the TrueLearn Python library, which contains a family of online learning
Bayesian models for building educational (or more generally, informational) …
Bayesian models for building educational (or more generally, informational) …