AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
M del Carmen Rodríguez-Hernández, S Ilarri - Knowledge-Based Systems, 2021 - Elsevier
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …
Context-aware recommender systems: From foundations to recent developments
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …
practitioners in many disciplines, including e-commerce, personalization, information …
Context aware recommender systems: A novel approach based on matrix factorization and contextual bias
M Casillo, BB Gupta, M Lombardi, A Lorusso… - Electronics, 2022 - mdpi.com
In the world of Big Data, a tool capable of filtering data and providing choice support is
crucial. Recommender Systems have this aim. These have evolved further through the use …
crucial. Recommender Systems have this aim. These have evolved further through the use …
Context-aware recommender systems and cultural heritage: a survey
Abstract In the Big Data era, every sector has adapted to technological development to
service the vast amount of information available. In this way, each field has benefited from …
service the vast amount of information available. In this way, each field has benefited from …
New perspectives on gray sheep behavior in E-commerce recommendations
With the exponential rise in the size of data being generated, personalization based on
recommender systems has become an important aspect of digital marketing strategy of E …
recommender systems has become an important aspect of digital marketing strategy of E …
Enhancing the role of large-scale recommendation systems in the IoT context
R Kashef - IEEE Access, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) connects heterogeneous physical devices with the ability to
collect data using sensors and actuators. These data can infer useful information for …
collect data using sensors and actuators. These data can infer useful information for …
CRecSys: A context-based recommender system using collaborative filtering and LOD
VK Sejwal, M Abulaish - IEEE access, 2020 - ieeexplore.ieee.org
Linked Open Data (LOD) is an emerging Web technology to store and publish structured
data in the form of interlinked knowledgebases like DBpedia, Freebase, Wikidata, and Yago …
data in the form of interlinked knowledgebases like DBpedia, Freebase, Wikidata, and Yago …
Eliciting pairwise preferences in recommender systems
Preference data in the form of ratings or likes for items are widely used in many
Recommender Systems. However, previous research has shown that even item …
Recommender Systems. However, previous research has shown that even item …
A survey of context-aware recommender system and services
E Ashley-Dejo, S Ngwira, T Zuva - … International Conference on …, 2015 - ieeexplore.ieee.org
The advancement of the Internet, mobile and wireless technologies have produced a rapid
change of information in terms of volume and accessibility. The enormous volume of …
change of information in terms of volume and accessibility. The enormous volume of …
Datasets for context-aware recommender systems: Current context and possible directions
Recommender systems alleviate the overload experienced by users when they have to
choose among a large set of options. They are interesting both from a commercial point of …
choose among a large set of options. They are interesting both from a commercial point of …