Artificial intelligence for decision making in the era of Big Data–evolution, challenges and research agenda
Y Duan, JS Edwards, YK Dwivedi - International journal of information …, 2019 - Elsevier
Artificial intelligence (AI) has been in existence for over six decades and has experienced AI
winters and springs. The rise of super computing power and Big Data technologies appear …
winters and springs. The rise of super computing power and Big Data technologies appear …
A literature review and classification of recommender systems research
DH Park, HK Kim, IY Choi, JK Kim - Expert systems with applications, 2012 - Elsevier
Recommender systems have become an important research field since the emergence of
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
Recommender system application developments: a survey
A recommender system aims to provide users with personalized online product or service
recommendations to handle the increasing online information overload problem and …
recommendations to handle the increasing online information overload problem and …
Conceptualising electronic word of mouth activity: An input‐process‐output perspective
YYY Chan, EWT Ngai - Marketing Intelligence & Planning, 2011 - emerald.com
Purpose–In light of the growth of internet usage and its important role in the field of e‐
commerce, electronic word‐of‐mouth (eWOM) has been changing people's behavior and …
commerce, electronic word‐of‐mouth (eWOM) has been changing people's behavior and …
Context-aware recommender system: A review of recent developmental process and future research direction
Intelligent data handling techniques are beneficial for users; to store, process, analyze and
access the vast amount of information produced by electronic and automated devices. The …
access the vast amount of information produced by electronic and automated devices. The …
A survey on group recommender systems
S Dara, CR Chowdary, C Kumar - Journal of Intelligent Information …, 2020 - Springer
Recommender systems are increasingly used in various domains like movies, travel, music,
etc. The rise in social activities has increased the usage of recommender systems in general …
etc. The rise in social activities has increased the usage of recommender systems in general …
Exploring viewer participation in online video game streaming: A mixed-methods approach
Video game streaming (VGS) has attracted hundreds of millions of viewers all over the world
to not only watch but also participate in a variety of VGS activities, such as interacting with …
to not only watch but also participate in a variety of VGS activities, such as interacting with …
State-of-the-art in group recommendation and new approaches for automatic identification of groups
Recommender systems are important tools that provide information items to users, by
adapting to their characteristics and preferences. Usually items are recommended to …
adapting to their characteristics and preferences. Usually items are recommended to …
Social factors in group recommender systems
L Quijano-Sanchez, JA Recio-Garcia… - ACM Transactions on …, 2013 - dl.acm.org
In this article we review the existing techniques in group recommender systems and we
propose some improvement based on the study of the different individual behaviors when …
propose some improvement based on the study of the different individual behaviors when …
Personalized hybrid recommendation for group of users: Top-N multimedia recommender
Nowadays, the increasing demand for group recommendations can be observed. In this
paper we address the problem of recommendation performance for groups of users (group …
paper we address the problem of recommendation performance for groups of users (group …