Design of Back-End of Recommendation Systems Using Collective Intelligence Social Tagging

Recommendation systems are the tools whose purpose is to suggest relevant products or services to the customers. In a movie business website, the recommendation system provides users with more options, classify movies under different types to assist in arriving at a decision. Although, with current e-commerce giants focusing on hybrid filtering approach, we have decided to explore the functionality of Content-based recommendation system. This research paper aims to delve deeper into the content-based recommendation system and adding tags to enhance its functionality. The content-based approach is more fit to the movie recommendation as it overcomes the ‘cold start’ issue faced by the collaborative filtering approach, meaning, even with no ratings for a movie, it can still be recommended. The proposed method is to solve the less ‘data categorization’ issue in content-based filtering. Collective Intelligence Social Tagging System (CIST) aims at making a significant difference in content-based recommendation system to enrich the item profile and provide more accurate suggestions. The main gist of CIST is to involve the users to contribute in tagging to build a more robust system in online movie businesses. Tags in the millennial world are the ‘go to’ words that everyone looks up to in an online world of E-commerce. It’s the easiest way of telling a story without actual long sentences. We recommended three main solutions for the concerns of CIST, (a) clustering of tags to avoid synonymous tag confusion and create a metadata for movies under same tags, (b) 5 criteria model to motivate and give the most amount of genuine information for end users to trust and eventually contribute in tagging, and (c) clear way of distinguishing and displaying tags to separate primary tags and secondary tags and give a chance to the users to assess whether the given tags reflect the relevant theme of the film

Some Elementary Inequalities Between Mean and Standard Deviation

Some inequalities for the mean and standard deviation of continuous probability distributions are presented here in this paper and their geometrical significance has also been discussed. It has been shown that the inequalities obtained in this paper are better than the inequalities discussed by J. Muilwijk[6]

Design of Front-End for Recommendation Systems: Towards a Hybrid Architecture

To provide personalized online shopping suggestions, recommendation systems play an increasingly important role in “closing a transaction”. Some leading online movie sales platforms, such as Netflix and Rotten Tomatoes, have exploited content-based recommendation approaches. However, the issue of insufficient information about features in item profiles may lead to less accurate recommendations. In this paper, we propose a recommendation method known as Collective Intelligence Social Tagging (CIST), which combines a content-based recommendation approach with a social tagging function based on crowd-sourcing. We used an online movie sales platform as a use-case of how a CIST approach could increase the accuracy of recommended results and the overall user experience. In order t0 understand the feasibility and satisfaction level for CIST, we conducted fifteen design interviews to first determine user-developer perspectives on CIST, and then collected their overall design input

Health on a Cloud: Modeling Digital Flows in an E-health Ecosystem

A unified and well-knit e-health network is one that provides a common platform to its key stakeholders to facilitate a sharing of information with a view to promoting cooperation and maximizing benefits. A promising candidate worthy of being considered for this ponderous job is the emerging "cloud technology" with its offer of computing as a utility, which seems well-suited to foster such a network bringing together diverse players who would otherwise remain fragmented and be unable to reap benefits that accrue from cooperation. The e-health network serves to provide added value to its various stakeholders through syndication, aggregation and distribution of this health information, thereby reducing costs and improving efficiencies. Because such a network is in fact an interconnected "network of network" that delivers a product or service through both competition and cooperation, it can be thought of as a business ecosystem. . This study attempts to model the digital information flows in an e-health ecosystem and analyze the resulting strategic implications for the key players for whom the rules of the game are bound to change given their interdependent added-values. The ADVISOR framework is deployed to examine the values created and captured in the ecosystem. Based on this analysis, some critical questions that must be addressed as necessary preconditions for an e-Health Cloud, are derived. The paper concludes with the conjecture that "collaboration for value" will replace "competition for revenue" as the new axiom in the health care business that could ideally usher in a fair, efficient and sustainable ecosystem

Higher Education 4.0, The Digital Transformation of Classroom Lectures to Blended Learning

This book chronicles a 10-year introduction of blended learning into the delivery at a leading technological university, with a longstanding tradition of technology-enabled teaching and learning, and state-of-the-art infrastructure. Hence, both teachers and students were familiar with the idea of online courses. Despite this, the longitudinal experiment did not proceed as expected. Though few technical problems, it required behavioural changes from teachers and learners, thus unearthing a host of socio-technical issues, challenges, and conundrums. With the undercurrent of design ideals such as “tech for good”, any industrial sector must examine whether digital platforms are credible substitutes or at best complementary. In this era of Industry 4.0, higher education, like any other industry, should not be about the creative destruction of what we value in universities, but their digital transformation. The book concludes with an agenda for large, repeatable Randomised Controlled Trials (RCTs) to validate digital platforms that could fulfil the aspirations of the key stakeholder groups – students, faculty, and regulators as well as delving into the role of Massive Open Online Courses (MOOCs) as surrogates for “fees-free” higher education and whether the design of such a HiEd 4.0 platform is even a credible proposition. Specifically, the book examines the data-driven evidence within a design-based research methodology to present outcomes of two alternative instructional designs evaluated – traditional lecturing and blended learning. Based on the research findings and statistical analysis, it concludes that the inexorable shift to online delivery of education must be guided by informed educational management and innovation

Revisiting Turing’s Imitation Game: A Commentary on Replacing Teachers with Internet Devices

Researchers have long studied the prevalence of poverty and inequality throughout the world. Much of this poverty has resulted from a lack of opportunities for socio-economic growth and development. In this commentary, we conjecture that bridging knowledge disparities through mass education would reduce wealth and income disparities. Specifically, we investigate whether educating underprivileged individuals (who otherwise would have little access to education) via an inexpensive tablet device would bring about access to digital content and social networks and, thus, result in development opportunities for them. We draw from lessons from the pathfinding one-laptop-per-child (OLPC) initiative and several other field experiences. Through adopting a method of dialectic enquiry that Alan Turing first posed in his seminal investigation into whether machines could replace people, we first pose arguments against our postulate and then consider opposing points of view. Specifically, we address: what are the positive and negative effects of the BYOD approach to learning? How does the BYOD approach bridge knowledge disparities across the socio-economic divide? What impact does the BYOD approach have on different forms of student engagement? Are the digitally less connected also less literate? We conclude with some thoughts on whether content and devices should or could replace teachers

Making Sense of Blockchain in Food Supply-Chains

Blockchain is a potentially disruptive and game-changing technology that has created excitement about its potential applications. The agriculture industry in New Zealand is facing increased pressure to be able to accurately track and trace their produce in order to provide higher levels of proof to their customers. This study used a q-methodology approach to examine whether blockchain technology can be the solution to these issues and provides recommendations as to what businesses need to in order to make this a reality. The empirical research revealed four distinct groups within the industry; each with different perspectives of blockchain and its potential. Results also found that while industry experts believe blockchain implementation is inevitable and it will solve the current issues, factors such as high set-up costs and the complexity of technology may be inhibitors. Based on these findings, key recommendations on how the industry should proceed in order to overcome these factors that are preventing adoption are derived. Further research is suggested on how the challenges of food safety and security may be overcome with emerging technologies such as Blockchain, IoT and AI

Case Studies on the Exploitation of Crowd-Sourcing with Web 2.0 Functionalities

Crowd-sourcing appears more promising with Web 2.0 functionality and businesses have started using it for a wide range of activities, that would be better completed by a crowd rather than any specific pool of knowledge workers. However, relatively little is known about how a business can leverage on collective intelligence and capture the user- generated value for competitive advantage. This empirical study uses the principle of interpretive field research to validate the case findings with a descriptive multiple case study methodology. An extended theoretical framework to identify the important considerations at strategic and functional levels for the effective use of crowd-sourcing is proposed. The analytic framework uses five Business Strategy Components: Vision and Strategy, Human Capital, Infrastructure, Linkage and Trust, and External Environment. It also uses four Web 2.0 Functional Components: Social Networking, Interaction Orientation, Customization & Personalization, and User- added Value. By using these components as analytic lenses, the case research examines how successful e-commerce firms may deploy Web 2.0 functionalities for effective use of crowd-sourcing. Prioritization of these functional considerations might be favorable in some cases for the best fit of situations and limitations. In conclusion, it is important that the alignment between strategy and functional components is maintained