The use of machine learning algorithms in recommender systems: A systematic review
I Portugal, P Alencar, D Cowan - Expert Systems with Applications, 2018 - Elsevier
Recommender systems use algorithms to provide users with product or service
recommendations. Recently, these systems have been using machine learning algorithms …
recommendations. Recently, these systems have been using machine learning algorithms …
Recommender systems
The ongoing rapid expansion of the Internet greatly increases the necessity of effective
recommender systems for filtering the abundant information. Extensive research for …
recommender systems for filtering the abundant information. Extensive research for …
Personalized entity recommendation: A heterogeneous information network approach
Among different hybrid recommendation techniques, network-based entity recommendation
methods, which utilize user or item relationship information, are beginning to attract …
methods, which utilize user or item relationship information, are beginning to attract …
Collaborative learning-based industrial IoT API recommendation for software-defined devices: the implicit knowledge discovery perspective
The industrial Internet of things (IIoT), a new computing mode in Industry 4.0, is deployed to
connect IoT devices and use communication technology to respond to control commands …
connect IoT devices and use communication technology to respond to control commands …
A novel deep multi-criteria collaborative filtering model for recommendation system
Recommender systems have been in existence everywhere with most of them using single
ratings in prediction. However, multi-criteria predictions have been proved to be more …
ratings in prediction. However, multi-criteria predictions have been proved to be more …
Recommender systems with social regularization
Although Recommender Systems have been comprehensively analyzed in the past decade,
the study of social-based recommender systems just started. In this paper, aiming at …
the study of social-based recommender systems just started. In this paper, aiming at …
Evaluating collaborative filtering recommender algorithms: a survey
Due to the explosion of available information on the Internet, the need for effective means of
accessing and processing them has become vital for everyone. Recommender systems …
accessing and processing them has become vital for everyone. Recommender systems …
A comprehensive survey of neighborhood-based recommendation methods
Among collaborative recommendation approaches, methods based on nearest-neighbors
still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability …
still enjoy a huge amount of popularity, due to their simplicity, their efficiency, and their ability …
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
G Adomavicius, A Tuzhilin - IEEE transactions on knowledge …, 2005 - ieeexplore.ieee.org
This paper presents an overview of the field of recommender systems and describes the
current generation of recommendation methods that are usually classified into the following …
current generation of recommendation methods that are usually classified into the following …
QoS-aware web service recommendation by collaborative filtering
With increasing presence and adoption of Web services on the World Wide Web, Quality-of-
Service (QoS) is becoming important for describing nonfunctional characteristics of Web …
Service (QoS) is becoming important for describing nonfunctional characteristics of Web …