Edge analytics as service &amp;#x2014; A service oriented framework for real time and personalised recommendation analytics

Soni, Soujanya; Narang, Kanika; Faruquie, Tanveer A.; Batra, Vishal; Subramaniam, L. Venkata

doi:10.1109/soli.2013.6611465

Cited by 3 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Soni et al [58] proposed an Edge analytics serviceoriented framework for personalized and real-time recommendation. The proposed framework is based on the interaction screen.…”

Section: Retailmentioning

confidence: 99%

A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications

Nayak¹,

Patgiri²,

Waikhom³

et al. 2021

Preprint

View full text Add to dashboard Cite

Edge technology aims to bring Cloud resources (specifically, the compute, storage, and network) to the closed proximity of the Edge devices, i.e., smart devices where the data are produced and consumed. Embedding computing and application in Edge devices lead to emerging of two new concepts in Edge technology, namely, Edge computing and Edge analytics. Edge analytics uses some techniques or algorithms to analyze the data generated by the Edge devices. With the emerging of Edge analytics, the Edge devices have become a complete set. Currently, Edge analytics is unable to provide full support for the execution of the analytic techniques. The Edge devices cannot execute advanced and sophisticated analytic algorithms following various constraints such as limited power supply, small memory size, limited resources, etc. This article aims to provide a detailed discussion on Edge analytics. A clear explanation to distinguish between the three concepts of Edge technology, namely, Edge devices, Edge computing, and Edge analytics, along with their issues. Furthermore, the article discusses the implementation of Edge analytics to solve many problems in various areas such as retail, agriculture, industry, and healthcare. In addition, the research papers of the state-of-the-art edge analytics are rigorously reviewed in this article to explore the existing issues, emerging challenges, research opportunities and their directions, and applications.

show abstract

“…Soni et al [58] proposed an Edge analytics serviceoriented framework for personalized and real-time recommendation. The proposed framework is based on the interaction screen.…”

Section: Retailmentioning

confidence: 99%

A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications

Nayak¹,

Patgiri²,

Waikhom³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…As advanced data analysis and mobile marketing are introduced, they introduce a source of revenue for new roles, which can be filled out by existing players (such as banks and MNOs) or by separate entities, as the complexity of the domain and the availability of data from multiple sources have paved the way for data analytics being offered as a service to banks 5 .…”

Section: Mobility and Mobile Banking As Business Opportunitiesmentioning

confidence: 99%

An Analysis of Features and Tendencies in Mobile Banking Apps

Fenu

Pau

2015

Procedia Computer Science

View full text Add to dashboard Cite

Mobile devices such as smartphones and tablets are being employed alongside personal computers, and even replacing them in some applications. Banks are increasingly investing on mobility, by enabling the mobile web and mobile app channels for online banking, and by providing new mobile payment services. In this paper, the services for off-branch banking offered by several Italian banks are analyzed, showing that mobile apps have surpassed the mobile web channel in completeness of the offer, due to the fact that additional capabilities of mobile devices make possible advanced features and applications. An outlook on the near future is provided, remarking that mobile marketing and mobile recommender systems can greatly take advantage of being run natively on devices, making it desirable for businesses to invest on designing mobile apps

show abstract

Modeling user interactions for conversion rate prediction in M-Commerce

Fenu

Pau

2015

2015 IEEE Symposium on Computers and Communication (ISCC)

View full text Add to dashboard Cite

Edge analytics as service — A service oriented framework for real time and personalised recommendation analytics

Cited by 3 publications

References 9 publications

A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications

A Review on Edge Analytics: Issues, Challenges, Opportunities, Promises, Future Directions, and Applications

An Analysis of Features and Tendencies in Mobile Banking Apps

Modeling user interactions for conversion rate prediction in M-Commerce

Contact Info

Product

Resources

About