Trust-based recommendation systems in Internet of Things: a systematic literature review
Abstract Internet of Things (IoT) creates a world where smart objects and services interacting
autonomously. Taking into account the dynamic-heterogeneous characteristic of …
autonomously. Taking into account the dynamic-heterogeneous characteristic of …
A recommender system based on collaborative filtering using ontology and dimensionality reduction techniques
Improving the efficiency of methods has been a big challenge in recommender systems. It
has been also important to consider the trade-off between the accuracy and the computation …
has been also important to consider the trade-off between the accuracy and the computation …
Improvising personalized travel recommendation system with recency effects
P Nitu, J Coelho, P Madiraju - Big Data Mining and Analytics, 2021 - ieeexplore.ieee.org
A travel recommendation system based on social media activity provides a customized
place of interest to accommodate user-specific needs and preferences. In general, the user's …
place of interest to accommodate user-specific needs and preferences. In general, the user's …
Review of ontology-based recommender systems in e-learning
In recent years there has been an enormous increase in learning resources available online
through massive open online courses and learning management systems. In this context …
through massive open online courses and learning management systems. In this context …
HCoF: Hybrid Collaborative Filtering Using Social and Semantic Suggestions for Friend Recommendation
MT Ramakrishna, VK Venkatesan, R Bhardwaj… - Electronics, 2023 - mdpi.com
Today, people frequently communicate through interactions and exchange knowledge over
the social web in various formats. Social connections have been substantially improved by …
the social web in various formats. Social connections have been substantially improved by …
Determinants of consumers' continuance intention to use social recommender systems: A self-regulation perspective
X Yang - Technology in Society, 2021 - Elsevier
Social recommender systems have transformed how consumers seek product-or service-
related information. Based on Bagozzi's self-regulation framework, this study examines the …
related information. Based on Bagozzi's self-regulation framework, this study examines the …
[HTML][HTML] Efficient clustering in collaborative filtering recommender system: Hybrid method based on genetic algorithm and gravitational emulation local search …
The ultimate goal of the Recommender System (RS) is to offer a proposal that is very close
to the user's real opinion. Data clustering can be effective in increasing the accuracy of …
to the user's real opinion. Data clustering can be effective in increasing the accuracy of …
Dealing with Pure New User Cold‐Start Problem in Recommendation System Based on Linked Open Data and Social Network Features
Preferring accuracy over computation time or vice versa is very challenging in the context of
recommendation systems, which encourages many researchers to opt for hybrid …
recommendation systems, which encourages many researchers to opt for hybrid …
A personalized travel recommendation system using social media analysis
J Coelho, P Nitu, P Madiraju - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
Personalization of recommender systems enables customized services to users. Social
media is one resource that aids personalization. This study explores the use of twitter data to …
media is one resource that aids personalization. This study explores the use of twitter data to …
Nearest biclusters collaborative filtering framework with fusion
Collaborative filtering is one of the widely used recommendation technique. It provides
automated and personalized suggestions to consumers for selecting variety of products by …
automated and personalized suggestions to consumers for selecting variety of products by …