A survey on trustworthy recommender systems

Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian… - ACM Transactions on …, 2024 - dl.acm.org
Recommender systems (RS), serving at the forefront of Human-centered AI, are widely
deployed in almost every corner of the web and facilitate the human decision-making …

Beyond the learning analytics dashboard: Alternative ways to communicate student data insights combining visualisation, narrative and storytelling

GM Fernandez Nieto, K Kitto… - … learning analytics and …, 2022 - dl.acm.org
Learning Analytics (LA) dashboards have become a popular medium for communicating to
teachers analytical insights obtained from student data. However, recent research indicates …

Towards trustworthy recommender systems

Y Ge - 2024 - rucore.libraries.rutgers.edu
Recommender systems (RS)—which are extensively deployed in various systems such as e-
commerce, social networks, search engines, news portals, hiring platforms, intelligent …

ANOMALY DETECTION IN LEARNING ANALYTICS: FACILITATING DOMAIN EXPERTS'SENSEMAKING OF HETEROGENEOUS STUDENT DATA

A Al Doulat, ML Maher - EDULEARN23 Proceedings, 2023 - library.iated.org
Learning Analytics (LA) is an emerging field that provides powerful tools for improving
student learning and academic success. With the increasing amount of data generated by …

[PDF][PDF] Recommender Systems in the Era of Large Language Model Agents: A Survey

XI ZHU, YU WANG, H GAO, W XU, C WANG, Z LIU… - researchgate.net
Recommender Systems in the Era of Large Language Model Agents: A Survey Page 1
Recommender Systems in the Era of Large Language Model Agents: A Survey XI ZHU∗ …