نتایج جستجو برای: course recommender model

تعداد نتایج: 2328693  

2002
Miquel Montaner Beatriz López Josep Lluís de la Rosa i Esteva

Recommender systems help users to identify particular items that best match their tastes or preferences. When we apply the agent theory to this domain, a standard centralized recommender system becomes a distributed world of recommender agents. Therefore, due to the agent’s world, a new information filtering method appears: the opinion-based filtering method. Its main idea is to consider other ...

Journal: :Sustainability 2023

Industry 5.0 benefits from advancements being made in the field of machine learning and Internet Things. Different sensors have been installed a variety IoT devices present different industries such as transportation, healthcare, manufacturing, agriculture, etc. The these should automatically predict errors due to extensive use urban living. To ensure integrity, precision, security, dependabili...

2007
Wolfgang Woerndl Johann Schlichter

In this paper, we give an overview of our work to investigate the integration of context into different kind of recommender systems. Context adds an additional another dimension to the user-item data model of recommender system and can be utilized in different ways during contentbased or collaborative recommendation processes. We give several application examples we are working on to apply cont...

2018
Gilles Hubert Jose G. Moreno Karen Pinel-Sauvagnat Yoann Pitarch

The TREC Real-Time Summarization (RTS) track provides a framework for evaluating systems monitoring the Twitter stream and pushing tweets to users according to given profiles. It includes metrics, files, settings and hypothesis provided by the organizers. In this work, we perform a thorough analysis of each component of the framework used for batch evaluation of scenario A in 2016 and 2017. We ...

2015
D. F. O. Onah J. E. Sinclair

Diverse student needs present a challenge in online education. Massive Open Online Courses (MOOCs) attract many diverse learners, so there is need to tailor the course instruction to meet the students’ individual needs. This paper investigates an adaptive MOOC system from a personalised learning perspective. Firstly, we review existing literature on adaptive online learning systems, bringing to...

2017
E. Ammenwerth G. Demiris A. Hasman R. Haux W. Hersh E. Hovenga K. C. Lun H. Marin F. Martin - Sanchez

Objective: The International Medical Infor matics Association (IMIA) agreed on revising the existing international recommendations in health informatics /medical informatics education. These should help to establish courses, course tracks or even complete programs in this field, to further develop existing educational activities in the various nations and to support international initiatives co...

2016
Fei Mi Boi Faltings

Machine learning is often used to acquire knowledge in domains that undergo frequent changes, such as networks, social media, or markets. These frequent changes pose a challenge to most machine learning methods as they have difficulty adapting. So my thesis topic focus on adaptive machine learning models. At the first step, we consider a forum content recommender system for massive open online ...

2013
Sarah M. North Ronny Richardson Max M. North

Massive Open Online Courses (MOOCs) are the next logical phase of distance learning rapidly appearing on the horizon. A recent worldwide survey shows that the adoption of MOOCs is on the rise. This study focuses on identifying and emphasizing the unique advantages of MOOCs and provides possible insights to better understanding of MOOCs as an evolutionary product of classical distance learning. ...

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