scholarly journals Artificial intelligence in recommender systems

Author(s):  
Qian Zhang ◽  
Jie Lu ◽  
Yaochu Jin

Abstract Recommender systems provide personalized service support to users by learning their previous behaviors and predicting their current preferences for particular products. Artificial intelligence (AI), particularly computational intelligence and machine learning methods and algorithms, has been naturally applied in the development of recommender systems to improve prediction accuracy and solve data sparsity and cold start problems. This position paper systematically discusses the basic methodologies and prevailing techniques in recommender systems and how AI can effectively improve the technological development and application of recommender systems. The paper not only reviews cutting-edge theoretical and practical contributions, but also identifies current research issues and indicates new research directions. It carefully surveys various issues related to recommender systems that use AI, and also reviews the improvements made to these systems through the use of such AI approaches as fuzzy techniques, transfer learning, genetic algorithms, evolutionary algorithms, neural networks and deep learning, and active learning. The observations in this paper will directly support researchers and professionals to better understand current developments and new directions in the field of recommender systems using AI.

Author(s):  
Steven Walczak

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow, well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.


Nutrients ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 788 ◽  
Author(s):  
Despoina Kiousi ◽  
Athanasios Karapetsas ◽  
Kyriaki Karolidou ◽  
Mihalis Panayiotidis ◽  
Aglaia Pappa ◽  
...  

Probiotics are defined as live microorganisms that when administered in adequate amounts confer a health benefit to the host. Their positive supplementation outcomes on several gastrointestinal disorders are well defined. Nevertheless, their actions are not limited to the gut, but may also impart their beneficial effects at distant sites and organs. In this regard, in this review article we: (i) comprehensively describe the main mechanisms of action of probiotics at distant sites, including bones, skin, and brain; (ii) critically present their therapeutic potential against bone, skin, and neuronal diseases (e.g., osteoporosis, non-healing wounds and autoimmune skin illnesses, mood, behavior, memory, and cognitive impairments); (iii) address the current gaps in the preclinical and clinical research; and (iv) indicate new research directions and suggest future investigations.


Author(s):  
Nicolas Robin ◽  
Guillaume R. Coudevylle ◽  
Olivier Hue

Many important sporting events are organized in hot ambient conditions. In addition, given the global warming around the world, and because heat also concerns millions of people living in hot-dry and/or hot-humid environments, individuals often perform cognitive and/or cognitivo-motor tasks under heat stress conditions. Hot environment can negatively affect aerobic and high intensity performances and can also negatively influence mental performances and cognitive function as executive functions and attention. This review was realized in order to provide a better understanding of the influence of the heat on cognition as attentional processes. In addition, applied recommendations and strategies (e.g., acclimation, cooling, mental technics), that individuals can use during learning, training or competitions performed in hot environments, are discussed. Finally, new directions in research are proposed.


CNS Spectrums ◽  
2015 ◽  
Vol 20 (3) ◽  
pp. 200-206 ◽  
Author(s):  
Michael A. Cummings

Psychopathic individuals account for substantial predatory and impulsive violence. To the present, the principal intervention used to decrease the harm inflicted by psychopaths has been confinement. Nevertheless, most confined psychopathic persons return to the community. Recent advances in the understanding of the neurobiology of psychopathy hold promise for new research directions and more effective treatments. In this article, we will explore recent advances in genetics, electrophysiology, brain imaging, and psychopharmacology, as well as, in brief, their implications for new directions in research and treatment.


2021 ◽  
Vol 32 (3) ◽  
pp. 675-687
Author(s):  
Hemant Jain ◽  
Balaji Padmanabhan ◽  
Paul A. Pavlou ◽  
T. S. Raghu

Recent developments in artificial intelligence (AI) have increased interest in combining AI with human intelligence to develop superior systems that augment human and artificial intelligence. In this paper, augmented intelligence informally means computers and humans working together, by design, to enhance one another, such that the intelligence of the resulting system improves. Intelligence augmentation (IA) can pool the joint intelligence of humans and computers to transform individual work, organizations, and society. Notably, applications of IA are beginning to emerge in several domains, such as cybersecurity, privacy, counterterrorism, and healthcare, among others. We provide a brief summary of papers in this special section that represent early attempts to address some of the rapidly emerging research issues. We also present a framework to guide research on IA and advocate for the important implications of IA for the future of work, organizations, and society. We conclude by outlining promising research directions based on this framework for the information systems and related disciplines.


2003 ◽  
Vol 793 ◽  
Author(s):  
M. S. Dresselhaus ◽  
Y. M. Lin ◽  
M. R. Black ◽  
O. Rabin ◽  
G. Dresselhaus

ABSTRACTLow dimensionality provides opportunities to modify the properties of bulk materials dramatically and to control materials properties independently in a manner that is not possible for bulk materials. The special characteristics of low dimensional materials to enhance thermoelectric performance have already been demonstrated in quantum wells, quantum wires and quantum dots. The main focus of this review is a summary of advances made in the modeling of quantum dot superlattice nanowires. Several new research directions for low dimensional thermoelectricity or inspired by this research are briefly mentioned.


Author(s):  
Tomasz Rachwał

The issues of economic geography research are subject to constant changes, mainly corresponding to the dynamic changes in the socio-economic space, especially in Polish conditions in the period of systemic transformation. This is also reflected in taking new research directions. One of those developed intensively in Poland after 1989 is entrepreneurship and its role in the development of spatial systems. The theme of the article is, therefore, the research problem of the role of entrepreneurship in the development of spatial systems. In the light of the analysis of the literature on the subject, mainly related to geographic research conducted by Polish researchers in this field, the article analyses various views on the concept of entrepreneurship, determines international and national conditions for entrepreneurship development, and proposes a systematic approach to entrepreneurial function in the development of spatial systems of various scales. The links between entrepreneurship and geography, the significant share of geographers in research in this field and the possibilities of using in this research the model of the functioning of geographical space were pointed out. In the final part, further directions of geographic research on this subject were recommended, which may contribute to the systematic increase of the importance of this discipline in the system of sciences and application activities, in particular in the development, implementation and monitoring of development strategies for spatial systems of different scales.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Annette Quayle

PurposeThis paper aims to generate new research directions at the intersection of accounting, whistleblowing and publicness: defined as the attainment of public goals, interests and values.Design/methodology/approachA problematising review is used to challenge and rethink the existing accounting and whistleblowing literature by incorporating readings from the public interest and public value literature. The paper draws on the work of Dewey (1927), Bozeman (2007) and Benington (2009) to open up new ways of theorising relations between accounting, whistleblowing and publicness.FindingsFirstly, the paper develops a public interest theoretical framework which shows whistleblowing is a public value activity that moves organisational wrongdoing into the public sphere where it is subject to democratic debate and dialogue required to reconcile the public's interests with what the public values. Secondly, this framework provides one answer to continuing questions in the literature of how to define accountings relationship to the public interest. Finally, the paper suggests this conceptual framework be used to stimulate debate on whether and how one should expand existing accounting and accountability knowledge boundaries to incorporate the broader social, political and moral concerns highlighted by whistleblowers acting in the public interest.Originality/valueAccounting and whistleblowing research has ignored the theoretical implications of whistleblowing in the public interest. The paper shows how accounting and accountability can respond to the challenges of a shifting and intangible public interest by providing a conceptual framework to guide current and future theoretical questions of how accounting is connected to the public interest.


2021 ◽  
pp. 014920632110559
Author(s):  
Ting Xiao ◽  
Mona Makhija ◽  
Samina Karim

A useful theoretical lens for understanding innovation in the strategy and entrepreneurship literatures is knowledge recombination. According to a recombination logic, innovations come about by recombining knowledge components, each of which is associated with a core scientific or technological concept. Interactions among a set of recombined components give rise to new meanings and functions that become the basis of an innovation. The singular focus on the components of knowledge underlying an innovation makes knowledge recombination stand out from other theoretical approaches. The rapid growth in research utilizing a recombination logic suggests that the time is ripe for stepping back and assessing its key insights. Therefore, this review provides a framework for a recombination perspective and considers how the literature using a recombination approach has progressed over time, including identification of key features of knowledge components, influences on how components are recombined, and the outcomes of recombination. Finally, a number of new directions for research are proposed.


Author(s):  
Steven Walczak

Artificial intelligence is the science of creating intelligent machines. Human intelligence is comprised of numerous pieces of knowledge as well as processes for utilizing this knowledge to solve problems. Artificial intelligence seeks to emulate and surpass human intelligence in problem solving. Current research tends to be focused within narrow well-defined domains, but new research is looking to expand this to create global intelligence. This chapter seeks to define the various fields that comprise artificial intelligence and look at the history of AI and suggest future research directions.


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