Recommender systems: Techniques, applications, and challenges
Recommender systems (RSs) are software tools and techniques that provide suggestions
for items that are most likely of interest to a particular user. In this introductory chapter, we …
for items that are most likely of interest to a particular user. In this introductory chapter, we …
Knowledge-based recommendation: a review of ontology-based recommender systems for e-learning
Recommender systems in e-learning domain play an important role in assisting the learners
to find useful and relevant learning materials that meet their learning needs. Personalized …
to find useful and relevant learning materials that meet their learning needs. Personalized …
Learning theories for artificial intelligence promoting learning processes
This paper discusses a three‐level model that synthesizes and unifies existing learning
theories to model the roles of artificial intelligence (AI) in promoting learning processes. The …
theories to model the roles of artificial intelligence (AI) in promoting learning processes. The …
Intelligent tourism recommender systems: A survey
Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
focuses on their application in tourism. A comprehensive and thorough search of the smart e …
[图书][B] RapidMiner: Data mining use cases and business analytics applications
M Hofmann, R Klinkenberg - 2016 - books.google.com
Written by leaders in the data mining community, including the developers of the RapidMiner
software, this book provides an in-depth introduction to the application of data mining and …
software, this book provides an in-depth introduction to the application of data mining and …
Content-based recommender systems: State of the art and trends
Recommender systems have the effect of guiding users in a personalized way to interesting
objects in a large space of possible options. Content-based recommendation systems try to …
objects in a large space of possible options. Content-based recommendation systems try to …
Introduction to recommender systems handbook
Abstract Recommender Systems (RSs) are software tools and techniques providing
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …
suggestions for items to be of use to a user. In this introductory chapter we briefly discuss …
[PDF][PDF] A survey of accuracy evaluation metrics of recommendation tasks.
A Gunawardana, G Shani - Journal of Machine Learning Research, 2009 - jmlr.org
Recommender systems are now popular both commercially and in the research community,
where many algorithms have been suggested for providing recommendations. These …
where many algorithms have been suggested for providing recommendations. These …
Panorama of recommender systems to support learning
This chapter presents an analysis of recommender systems in Technology-Enhanced
Learning along their 15 years existence (2000–2014). All recommender systems considered …
Learning along their 15 years existence (2000–2014). All recommender systems considered …
E-commerce product recommendation agents: Use, characteristics, and impact
B Xiao, I Benbasat - MIS quarterly, 2007 - JSTOR
Recommendation agents (RAs) are software agents that elicit the interests or preferences of
individual consumers for products, either explicitly or implicitly, and make recommendations …
individual consumers for products, either explicitly or implicitly, and make recommendations …