recommender system research. In this paper, we propose a new personalized recommendation framework by leveraging and enhancing overlapping community concepts from complex network analysis literature and developing a time-weighted association rule mining method. Experiment results show that our proposed approach outperforms several existing methods in recommendation precision and diversity. Keywords: personalized recommendation; overlapping community; time-weighted association rules; user interests
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CHAPTER 1: INTRODUCTION 1.1: Origin of the paper This report has been prepared to make a study on the “Management Information System of City Bank Ltd” as a part of the fulfillment of report, required for the completion of the course BUS304: Management Information System and Ecommerce of the Business Administration of University of Liberal Arts Bangladesh. The report was prepared under the supervision of Dominic S. S. V. Bennett, course instructor of Management Information System and Ecommerce
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Chapter 3 Q1. How does organizational strategy determine information systems structure?` Ultimately, competitive strategy determines the structure, features, and functions of every information system. * Porter’s Five Forces Model of Industry Structure * Bargaining power of customers * Threat of substitutions * Bargaining power of suppliers * Threat of new entrants * Rivalry Q2. What five forces determine industry structure? * The intensity of each of the five forces
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Table of Contents Introduction 4 Objectives 6 Literature Review 7 Framework 9 Data Analysis 14 Qualitative Analysis 14 Qualitative Analysis 16 Research Methodology 17 Conclusion 20 Bibliography 21 APPENDIX – I APPENDIX – II APPENDIX – III APPENDIX – IV APPENDIX - V Introduction Predictive analytics has its origin from a famous saying: Past performance is the basic indicator of future results. It looks at historical cases and builds models which can then be applied to
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As corporate controller for Apollo Shoes, you are tasked to find and explain any irregularities in the Apollo Shoes Case. Resource: Apollo Shoes Casebook Define the process you will use and address the following assessed classroom discussion questions: What procedures will be used to collect accounting evidence? What sampling tools and techniques will be used for the examination? How will you use analytical and inferential tools to evaluate accounting evidence? Submit your assignment
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profits, performance, and competitors. System Objectives & Information Requirements of Stakeholders The goals and scope of the Information Systems plan is to identify how the plan will help each stakeholder group obtain the necessary information, data, and equipment required in order to complete the tasks associated with each group. A stakeholder is someone that has put a level of trust and interest into a business, project, or idea. Regarding the Acme Mexico City project (AMC), the stakeholders
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internal secondary data A real world example I can come up with is Netflix’s production of House of Cards. http://en.wikipedia.org/wiki/House_of_Cards_%28U.S._TV_series%29 http://www.nytimes.com/2013/02/25/business/media/for-house-of-cards-using-big-data-to-guarantee-its-popularity.html?pagewanted=all&_r=0 http://www.ukessays.com/essays/marketing/netflix-case-analysis-marketing-essay.php http://www.fastcodesign.com/1671893/the-secret-sauce-behind-netflixs-hit-house-of-cards-big-data [pic] According
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more output with less employees. | Optimizing staff | Social media & Social Networking Analysis | It is the process of receiving feedbacks from customers through social media sites which could help in the business and data analysis in the near future. | Mining structured data from blogs; feedbacks from customers | Intelligent Traffic Management | It is managing the deliveries and external transactions of the business in order to meet customer satisfaction. | Traffic flow, rerouting, predicting
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classes so as to minimize overlap among related classes. In this exercise we will concern ourselves with only seven different classes. Using a minimum support threshold of 30% and a minimum confidence level of 60%, (manually) apply association rule mining to the set of transactions given below to identify all valid rules. Clearly list out all relevant steps and report the support, confidence and lift for each valid rule that you generate. Customer ID 1 2 3 4 5 6 7 8 9 10 Food Yoga
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IBM Global Center for Smarter Analytics Fundamentals of Business Analytics Case Study IBM Global Center for Smarter Analytics ________________________________________________________________________________ Licensed Materials - Property of IBM © Copyright IBM Corporation 2013 Published May 2013 IBM, the IBM logo and ibm.com are trademarks of International Business Machines Corp., registered in many jurisdictions worldwide. Other product and service names might be trademarks of IBM
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