Evaluating Prediction Accuracy, Developmental Challenges, and Issues of Recommender Systems

2018 ◽  
Vol 10 (2) ◽  
pp. 61-79 ◽  
Author(s):  
J. Sharon Moses ◽  
L.D. Dhinesh Babu
Keyword(s):  
Social Media ◽  
Recommender Systems ◽  
Recommender System ◽  
Prediction Accuracy ◽  
Recommendation Systems ◽  
Geographical Location ◽  
The Internet ◽  
The People ◽  
Implicit And Explicit ◽  
The Internet Of Things

Modern ways of living have made the people to depend on internet services for everything. The mounting information from various sources like social media, implicit and explicit information, user's geographical location, and the internet of things had increased the need of a recommender system. From e-governance to e-shopping, a recommender system helps people in finding the needed item or information and also boosts sales in the market of those items. Though many studies elaborate about recommendation systems, challenges in developing the recommendation systems, prevailing issues of recommendation systems and discussions on prediction accuracy are not detailed in any of the earlier works. Therefore, in this article, in order to increase the accuracy of the recommender system, the developmental challenges and issues in constructing recommender systems and for evaluation metrics in prediction accuracy are identified and detailed.

Multi-Disciplinary Opinions Focused on Healthcare Sector for Global Pandemic: COVID-19 (Preprint)

2020 ◽  
Author(s):  
Vinod Kumar Verma
Keyword(s):  
Internet Of Things ◽  
Research Community ◽  
Security And Privacy ◽  
Healthcare Sector ◽  
The Internet ◽  
Thought Process ◽  
Related Information ◽  
Global Pandemic ◽  
The People ◽  
The Internet Of Things

BACKGROUND COVID- 19 pandemics has affected the life of every human being in this world dramatically. The daily routine of the human has been changed to an uncertain extent. Some of the people are affected by the COVID-19, and some of the people are in fear of this epidemic. This has completely changed the thorough process of the people, and now, they are looking for solutions of this pandemic at different levels of the human addressable areas. These areas include medicine, vaccination, precautions, psychology, technology-assisted solutions like information technology, etc. There is a need to think in the direction of technology compliant solutions in the era of COVID-19 pandemic. OBJECTIVE The objective of this paper is to discuss the existing views and focus on the recommendations for the enhancement in the current situation from COVID-19. METHODS Based on the literature, perceptions, challenges, and viewpoints, the following opinions are suggested to the research community for the prevention and elimination of global pandemic COVID-19. The research community irrespective of the discipline focus on the following: 1. The comprehensive thought process for the designing of the internet of things (IoT) based solutions for healthcare applications used in the prevention from COVID-19. 2. Strategies for restricting outbreak of COVID-19 with the emerging trends in Ehealthcare applications. Which should be the optimal strategy to deal with a global pandemic? 3. Explorations on the data analysis as derived from the advanced data mining and warehousing associated with IoT. Besides, cloud-based technologies can be incorporated for the global spread of healthcare-related information to serve the community of different countries in the world. 4. The most adaptable method and technology can be deployed for the development of innovative solutions for COVID-19 related people like smart, patient-centric healthcare information systems. 5. Implementation of smart solutions like wearable technology for mask and PPE along with their disposal can be considered to deal with a global epidemic like COVID-19. This will lead to the manufacturing and incorporation of wearable technologies in the healthcare sector by industries. 6. A Pervasive thought process can be standardized for dealing with global pandemic like COVID-19. In addition, research measures should be considered for the security and privacy challenges of IoT services carrying healthcare-related information. These areas and directions are diverse but, in parallel, the need for healthy bonding and correlation between the people like researchers and scientists irrespective of their discipline. The discipline may vary from medical, engineering, computing, finance, and management, etc. In addition, standard protocols and interoperability measures can be worked out for the exchange of information in the global pandemic situations. RESULTS Recommendations Discussed CONCLUSIONS In this paper, the opinions have been discussed in the multi-disciplinary areas of research like COVID-19 challenges, medicines and vaccines, precautionary measures, technology assistance, and the Internet of Things. These opinions and discussion serve as an integrated platform for researchers and scientists to think about future perspectives to deal with healthcare-related COVID-19 pandemic situation. This includes the original, significant, and visionary automation based ideas, innovations, scientific designs, and applications focusing on Inter-disciplinary technology compliant solutions like IoT, vaccinations, manufacturing, preventive measures, etc. for the improvement of efficiency and reliability of existing healthcare systems. For the future, there is dire need to strengthen the technology not only in the one area but also for the interdisciplinary areas to recover from the pandemic situation rapidly and serve the community.

IoT Recommender System: A Recommender System Based on Sensors from the Internet of Things for Points of Interest

2019 ◽  
pp. 237-250
Author(s):  
Cristian González García ◽  
Daniel Meana-Llorián ◽  
Vicente García Díaz ◽  
Edward Rolando Núñez-Valdez
Keyword(s):  
Internet Of Things ◽  
Recommender System ◽  
The Internet ◽  
System A ◽  
Points Of Interest ◽  
The Internet Of Things

scholarly journals Movie Recommenadation System

2021 ◽  
Vol 9 (4) ◽  
pp. 13-16
Author(s):  
Gandhali Malve ◽  
Lajree Lohar ◽  
Tanay Malviya ◽  
Shirish Sabnis
Keyword(s):  
Machine Learning ◽  
Recommender System ◽  
Recommendation System ◽  
Learning Algorithms ◽  
Recommendation Systems ◽  
Machine Learning Algorithms ◽  
The Internet ◽  
Amount Of Information ◽  
System Recommendation ◽  
User Ratings

Today the amount of information in the internet growth very rapidly and people need some instruments to find and access appropriate information. One of such tools is called recommendation system. Recommendation systems help to navigate quickly and receive necessary information. Many of us find it difficult to decide which movie to watch and so we decided to make a recommender system for us to better judge which movie we are more likely to love. In this project we are going to use Machine Learning Algorithms to recommend movies to users based on genres and user ratings. Recommendation system attempt to predict the preference or rating that a user would give to an item.

Effects of Consumers' Social Media Participation on Consumer Behavior

2014 ◽  
pp. 1128-1152
Author(s):  
Ashish Kumar ◽  
Ram Bezawada
Keyword(s):  
Social Media ◽  
Social Media Marketing ◽  
The Internet ◽  
Media Environment ◽  
Digital Revolution ◽  
Digital Era ◽  
Online Social Media ◽  
The People ◽  
Marketing Activities ◽  
Search Marketing

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.

Effects of Consumers' Social Media Participation on Consumer Behavior

2015 ◽  
pp. 1567-1591
Author(s):  
Ashish Kumar ◽  
Ram Bezawada
Keyword(s):  
Social Media ◽  
Social Media Marketing ◽  
The Internet ◽  
Media Environment ◽  
Digital Revolution ◽  
Digital Era ◽  
Online Social Media ◽  
The People ◽  
Marketing Activities ◽  
Search Marketing

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.

Effects of Consumers' Social Media Participation on Consumer Behavior

2015 ◽  
pp. 1670-1694
Author(s):  
Ashish Kumar ◽  
Ram Bezawada
Keyword(s):  
Social Media ◽  
Social Media Marketing ◽  
The Internet ◽  
Media Environment ◽  
Digital Revolution ◽  
Digital Era ◽  
Online Social Media ◽  
The People ◽  
Marketing Activities ◽  
Search Marketing

Technological advancements have shaped and reshaped the marketing landscape from time to time. The digital revolution in particular has given rise to a new digital era that has changed this marketing landscape, perhaps permanently. One of the core technologies involved in defining this digital era is the Internet. The Internet has not only empowered the people by creating and disseminating information like never before but also has affected the way we conduct our businesses. Various business usages of the Internet in search engines, email, mobile, and social media have given rise to new ways of conducting marketing activities such as affiliate marketing, display advertisement, email marketing, search marketing, and social media marketing among others. The significance and the relevance of online social media marketing have made this particular digital channel a topical subject of the digital era. The effects of social media have been felt in influencing both seller and buyer behaviors. However, the focus of this chapter is to address two important aspects of consumer behaviors in an online digital social media environment. First, the authors propose a conceptual framework of consumers' social media participation. Second, the chapter discusses how this participation affects consumers' behaviors including their purchases. Finally, the authors present a few econometric challenges associated with modeling consumers' social media participation and quantifying its impact on their behaviors.

scholarly journals Disease Risk Prediction using SVM based on Geographical Location

2018 ◽  
Vol 7 (2.24) ◽  
pp. 11
Author(s):  
Abarna A R ◽  
A Umamakeswari
Keyword(s):  
Health Care ◽  
Social Media ◽  
Disease Risk ◽  
Geographical Location ◽  
Support Vector ◽  
The Internet ◽  
Related Information ◽  
Svm Algorithm ◽  
Health Expert ◽  
Technological Platforms

Nowadays, people get more useful information from the internet and other technological platforms like social media. Plenty of health-care related information is available in social media where people spend more time in it. The existing methodology doesn’t include location in particular the user similarity based on the attributes. The proposed method specifies the assessment of disease risk by Support Vector Machine (SVM) algorithm to identify the similarity between the users based on the geographical location and then recommends the health expert to the users. This method also identifies the fake users and validates them. The health-care associated with big-data can be performed effectively in the proposed framework. The experimental output shows that the proposed method is more effective when compared with Collaborative Filtering based Disease Risk Assessment.  

scholarly journals An Agenda in the Interest of Audiences: Facing the Challenges of Intrusive Media Technologies

2018 ◽  
Vol 20 (2) ◽  
pp. 184-198 ◽  
Author(s):  
Brita Ytre-Arne ◽  
Ranjana Das
Keyword(s):  
Social Media ◽  
Big Data ◽  
Internet Of Things ◽  
Emerging Technologies ◽  
Research Network ◽  
The Internet ◽  
Audience Research ◽  
Media Technologies ◽  
Critical Data ◽  
The Internet Of Things

This article formulates a five-point agenda for audience research, drawing on implications arising out of a systematic foresight analysis exercise on the field of audience research, conducted between 2014 and 2017, by the research network Consortium on Emerging Directions in Audience Research (CEDAR). We formulate this agenda in the context of the rapid datafication of society, amid emerging technologies, including the Internet of Things, and following a transformative decade, which overlapped with the pervasion of social media, proliferation of connected gadgets, and growing interest in and concern about big data. The agenda we formulate includes substantial and intellectual priorities concerning intrusive technologies, critical data literacies, labour, co-option, and resistance, and argues for the need for research on these matters, in the interest of audiences.

scholarly journals DEVELOPMENT OF THE ACEH COMMUNITY IN JAKARTA BY TAMAN ISKANDAR MUDA (TIM) THROUGH THE UTILIZATION OF MEUNASAH

ICCD ◽  
2019 ◽  
Vol 2 (1) ◽  
pp. 257-262
Author(s):  
Umaimah Wahid ◽  
Surya Darma
Keyword(s):  
Social Media ◽  
Community Development ◽  
Cultural Values ◽  
Religious Education ◽  
Communication Channels ◽  
Community Center ◽  
The Internet ◽  
Learning Center ◽  
Religious Activities ◽  
The People

The Aceh Aceh community and its surroundings have been part of the Taman Iskandar Muda (TIM) organization since 1950. TIM has a membership of 265,000 people, forty-seven (47) branches and thirty (30) Meunasahs spread across Jakarta, Bogor, Bekasi, Tangerang, Cilegon, Serang and Kerawang. The TIMdeveloped the Aceh Aceh community by utilizing the meunasah-meunasah in an effort to maintain or reconstruct Aceh's socio-cultural values so as not to disappear. Activities are carried out based on the Outline of the Organization of Taman Iskandar Muda (GBHO-TIM), namely Tahiro Gampong, Tajunjong Nanggroe, Tapakoe Members and Tapeuluah Syedara as the paradigm of community development. Meunasah as a learning center and community center for the people of Aceh Jakarta as follows 1) Silaturrahim, 2) Religious education (recitation of children and adults), 3) Secretariat of Taman Iskandar Muda (TIM) branch. 4) Containment for conflict resolution, 5) Boarding for students and the people of Aceh. 6) Economic and business planning 7) Organizing religious activities. TIM in the last 5 years has utilized the internet network to facilitate the process and communication channels of organizations, both internal and external with the TIM Website, email and using social media facilities such as what’sApp, Facebook, Instagram, while maintaining correspondence.

scholarly journals Social Media Analytics of the Internet of Things

2021 ◽  
Author(s):  
Jim Scheibmeir ◽  
Yashwant K. Malaiya
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Internet Of Things ◽  
Smart Cities ◽  
The Internet ◽  
Social Media Analytics ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Abstract The Internet of Things technology offers convenience and innovation in areas such as smart homes and smart cities. Internet of Things solutions require careful management of devices and the risk mitigation of potential vulnerabilities within cyber-physical systems. The Internet of Things concept, its implementations, and applications are frequently discussed on social media platforms. This article illuminates the public view of the Internet of Things through a content-based analysis of contemporary conversations occurring on the Twitter platform. Tweets can be analyzed with machine learning methods to converge the volume and variety of conversations into predictive and descriptive models. We have reviewed 684,503 tweets collected in a two-week period. Using supervised and unsupervised machine learning methods, we have identified interconnecting relationships between trending themes and the most mentioned industries. We have identified characteristics of language sentiment which can help to predict popularity within the realm of IoT conversation. We found the healthcare industry as the leading use case industry for IoT implementations. This is not surprising as the current Covid-19 pandemic is driving significant social media discussions. There was an alarming dearth of conversations towards cybersecurity. Only 12% of the tweets relating to the Internet of Things contained any mention of topics such as encryption, vulnerabilities, or risk, among other cybersecurity-related terms.

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