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Systematic literature review of context-awareness applications supported by smart cities' infrastructures
Since none of the existing systematic reviews of the literature related to smart cities have
focused on smart cities applications using context-aware features, this study aims to provide …
focused on smart cities applications using context-aware features, this study aims to provide …
Context-aware recommendation systems in the IoT environment (IoT-CARS)–A comprehensive overview
An essential goal of recommendation systems is to provide users with accurate and
personalized recommendations that meet their preferences. With the rapid growth of IoT …
personalized recommendations that meet their preferences. With the rapid growth of IoT …
AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
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 …
A case-based reasoning recommender system for sustainable smart city development
With the deployment of information and communication technologies (ICTs) and the needs
of data and information sharing within cities, smart city aims to provide value-added services …
of data and information sharing within cities, smart city aims to provide value-added services …
Recommender systems applied to the tourism industry: a literature review
Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …
Recommendation system for smart LMS using machine learning: a literature review
This paper presents the result of Systematic Literature Review (SLR) on Recommender
System (RS) topic as a preliminary toward a further study on designing a smart Learning …
System (RS) topic as a preliminary toward a further study on designing a smart Learning …
Shilling attacks and fake reviews injection: Principles, models, and datasets
Recommendation systems have proved to be a compelling performance in overcoming the
data overload problem in many domains, such as e-commerce, e-health, and transportation …
data overload problem in many domains, such as e-commerce, e-health, and transportation …
[PDF][PDF] Assessment methods for evaluation of recommender systems: a survey
The recommender system (RS) filters out important information from a large pool of
dynamically generated information to set some important decisions in terms of some …
dynamically generated information to set some important decisions in terms of some …
Mcars-cc: A salable multicontext-aware recommender system
Context-aware recommendation systems (CARSs) leverage contextual information, eg, time,
location, or mood, to generate more personalized recommendations with high accuracy; …
location, or mood, to generate more personalized recommendations with high accuracy; …
Context-aware recommendation systems using consensus-clustering
Recommendation Systems (RSs) have proved a compelling performance to overcome the
data overload problem. Context-aware recommenders guide users/clients to more …
data overload problem. Context-aware recommenders guide users/clients to more …