Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

Machine learning

http://www.maths.qmul.ac.uk/%7Elatora/report_06.pdf

Complex networks: Structure and dynamics

计量经济分析 = Econometric analysis

(1977). Graph Theory with Applications. Journal of the Operational Research Society: Vol. 28, Volume 28, issue 1, pp. 237-238.

https://link.springer.com/content/pdf/10.1057%2Fjors.1977.45.pdf

Graph theory with applications

An important part of our information-gathering behavior has always been to find out what other people think. With the growing availability and popularity of opinion-rich resources such as online review sites and personal blogs, new opportunities and challenges arise as people now can, and do, actively use information technologies to seek out and understand the opinions of others. The sudden eruption of activity in the area of opinion mining and sentiment analysis, which deals with the computational treatment of opinion, sentiment, and subjectivity in text, has thus occurred at least in part as a direct response to the surge of interest in new systems that deal directly with opinions as a first-class object.

This survey covers techniques and approaches that promise to directly enable opinion-oriented information-seeking systems. Our focus is on methods that seek to address the new challenges raised by sentiment-aware applications, as compared to those that are already present in more traditional fact-based analysis. We include material on summarization of evaluative text and on broader issues regarding privacy, manipulation, and economic impact that the development of opinion-oriented information-access services gives rise to. To facilitate future work, a discussion of available resources, benchmark datasets, and evaluation campaigns is also provided.

/pdf/opinion-mining-and-sentiment-analysis-3v5ya3qqiw.pdf

Opinion Mining and Sentiment Analysis

This study examines the persuasive effect and awareness effect of online user reviews on movies' daily box office performance. In contrast to earlier studies that take online user reviews as an exogenous factor, we consider reviews both influencing and influenced by movie sales. The consideration of the endogenous nature of online user reviews significantly changes the analysis. Our result shows that the rating of online user reviews has no significant impact on movies' box office revenues after accounting for the endogeneity, indicating that online user reviews have little persuasive effect on consumer purchase decisions. Nevertheless, we find that box office sales are significantly influenced by the volume of online posting, suggesting the importance of awareness effect. The finding of awareness effect for online user reviews is surprising as online reviews under the analysis are posted to the same website and are not expected to increase product awareness. We attribute the effect to online user reviews as an indicator of the intensity of underlying word-of-mouth that plays a dominant role in driving box office revenues.

/pdf/do-online-reviews-matter-an-empirical-investigation-of-panel-3ftkc2tmhp.pdf

Do online reviews matter? - An empirical investigation of panel data

There are growing interests in understanding how word-of-mouth (WOM) on the Internet is generated and how it influences consumers' purchase decisions at retail outlets. A unique aspect of the WOM effect is the presence of a positive feedback mechanism between WOM and retail sales. We characterize the process through a dynamic simultaneous equation system, in which we separate the effect of online WOM as both a precursor to and an outcome of retail sales. We apply our approach to the movie industry, showing that both a movie's box office revenue and WOM valence significantly influence WOM volume. WOM volume in turn leads to higher box office performance. This positive feedback mechanism highlights the importance of WOM in generating and sustaining retail revenue.

https://papers.ssrn.com/sol3/Delivery.cfm/SSRN_ID1101054_code412577.pdf?abstractid=1101054&rulid=4326921&mirid=4

The Dynamics of Online Word-of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry

1. Welcome to Electronic Commerce. Electronic Commerce Framework. Electronic Commerce and Media Convergence. The Anatomy of E-Commerce Applications. Electronic Commerce Consumer Applications. Electronic Commerce Organization Applications. Summary. 2. The Network Infrastructure for Electronic Commerce. Market Forces Influencing the I-Way. Components of the I-Way. Network Access Equipment. The Last Mile: Local Roads and Access Ramps. Global Information Distribution Networks. Public Policy Issues Shaping the I-Way. Summary. 3. The Internet as a Network Infrastructure. The Internet Terminology. Chronological History of the Internet. NSFNET: Architecture and Components. National Research and Education Network. Globalization of the Academic Internet. Internet Governance: The Internet Society. An Overview of Internet Applications. Summary. 4. The Business of Internet Commercialization. Telco/Cable/On-Line Companies. National Independent ISPs. Regional-Level ISPs. Local-Level ISPs. Service Providers Abroad. Service Provider Connectivity: Network Interconnection Points. Internet Connectivity Options. Logistics of Being an Internet Service Provider. Summary. 5. Network Security and Firewalls. Client-Server Network Security. Emerging Client-Server Security Threats. Firewalls and Network Security. Data and Message Security. Challenge-Response Systems. Encrypted Documents and Electronic Mail. U.S. Government Regulations and Encryption. Summary. 6. Electronic Commerce and World Wide Web. Architectural Framework for Electronic Commerce. World Wide Web (WWW) as the Architecture. Web Background: Hypertext Publishing. Technology behind the Web. Security and the Web. Summary. 7. Consumer-Oriented Electronic Commerce. Consumer-Oriented Applications. Mercantile Process Models. Mercantile Models from the Consumers Perspective. Mercantile Models from the Merchants Perspective. Summary. 8. Electronic Payment Systems. Types of Electronic Payment Systems. Digital Token-Based Electronic Payment Systems. Smart Cards and Electronic Payment Systems. Credit Card-Based Electronic Payment Systems. Risk and Electronic Payment Systems. Designing Electronic Payment Systems. Summary. 9. Interorganizational Commerce and EDI. Electronic Data Interchange. EDI Applications in Business. EDI: Legal, Security, and Privacy Issues. EDI and Electronic Commerce. Summary. 10. EDI Implementation MIME, and Value-Added Networks. Standardization and EDI. EDI Software Implementation. EDI Envelope for Message Transport. Value-Added Networks (VANs). Internet-Based EDI. Summary. 11. Intraorganizational Electronic Commerce. Internal Information Systems. Macroforces and Internal Commerce. Work-flow Automation and Coordination. Customization and Internal Commerce. Supply Chain Management (SCM). Summary. 12. The Corporate Digital Library. Dimensions of Internal Electronic Commerce Systems. Making a Business Case for a Document Library. Types of Digital Documents. Issues behind Document Infrastructure. Corporate Data Warehouses. Summary. 13. Advertising and Marketing on the Internet. The New Age of Information-Based Marketing. Advertising on the Internet. Charting the On-Line Marketing Process. Market Research. Summary. 14. Consumer Search and Resource Discovery. Search and Resource Discovery Paradigms. Information Search and Retrieval. Electronic Commerce Catalogs or Directories. Information Filtering. Consumer-Data Interface: Emerging Tools. Summary.

Frontiers of Electronic Commerce

1. Introduction to Electronic Commerce. Defining Electronic Commerce. Brief History of Electronic Commerce. Forces Fueling Electronic Commerce. Electronic Forces. Marketing and Customer Interaction Forces. Technology and Digital Convergence. Implications of Various Forces. Electronic Commerce Industry Framework. The Information Superhighway. Multimedia Content and Network Publishing. Messaging and Information Distribution. Common Business Services Infrastructure. Other Key Support Layers. Putting the Framework into Action: Microsoft Corporation. Types of Electronic Commerce. Inter-organizational Electronic Commerce. Intra-organizational Electronic Commerce. Consumer-to-Business Electronic Commerce. Intermediaries and Electronic Commerce. Key Questions for Management. Competitive Pressure. External Threat. Incorporating Changes. Designing New Organizational Structures. Managerial Options and Priorities. Summary. 2. The Internet and the Access Provider Industry. Internet Service Providers. Key Market Drivers for the Internet. Who Is Making Money on the Internet. Clarifying Internet Terminology. Companies Providing Internet Access. Internet Topology. Differentiating Market Segments: Commercial versus Consumer. Internet versus Online Services. Open versus Closed Architecture. Controlled Content versus Uncontrolled Content. Metered Pricing versus Flat Pricing. Innovation versus Control. Predicting the Future of the IAP Market. Convergence Leading to Competition. Service and Capacity Management. Customer Service, Loyalty, and Retention. Marketing. Customer Education. Changing Technology behind Internet Access. Changing Technology behind the Access Provider. Summary. 3. World Wide Web--Applications. Brief History of the Web. What Exactly Is the Web? Why Is the Web Such a Hit? The Web and Ease of Use. The Web and Ease of Publishing. The Web as a New Distribution Channel. The Web and Network-Centric Computing. The Web and New Intra-Business Applications. The Web and Electronic Commerce. The Web and Intra-Business Commerce. Other Intranet Applications. Intranet Advantages and Disadvantages. Management of Intranets. Understanding the Intranet Architecture. Summary. 4. World Wide Web--Concepts and Technology. Key Concepts behind the Web. Overview of the Web's Technical Architecture. Interactive Web Applications. Interactive Applications. Interactivity and Information Integration. Web Extensions for Interactive Applications. Web and Database Integration. Web Database Products. HTML Forms and CGI Programs. Web Software Developmental Tools. Need for Better Programming Languages. New Programming Language: Java. Technically Speaking: What Exactly Is Java? Role of Java in Electronic Commerce. How Does Java Work? Business Reasons for Using Java. Multimedia Web Extensions. Virtual Reality Modeling Language (VRML). RealAudio. Internet and Web-based Telephony. Directories and Search Engines. Lycos. Summary. 5. Firewalls and Transaction Security. Firewalls and Network Security. Types of Firewalls. Firewall Security Policies. Emerging Firewall Management Issues. Transaction Security. Types of Online Transactions. Requirements for Transaction Security. Encryption and Transaction Security. Secret-Key Encryption. Public-Key Encryption. Implementation and Management Issues. World Wide Web and Security. Netscape's Secure Sockets Layer. Security and Online Web-based Banking. Summary. 6. Electronic Payment Systems. Overview of the Electronic Payment Technology. The Online Shopping Experience. Limitations of Traditional Payment Instruments. Electronic or Digital Cash. Properties of Electronic Cash. Digital Cash in Action. Electronic Checks. Benefits of Electronic Checks. Electronic Checks in Action. NetCheck: A Prototype Electronic Check System. Electronic Check Project. Online Credit Card-Based Systems. Types of Credit Card Payments. Secure Electronic Transactions (SET). Other Emerging Financial Instruments. Debit Cards at the Point of Sale (POS). Debit Cards and Electronic Benefits Transfer. Smart Cards. Consumer, Legal, and Business Issues. Summary. 7. Electronic Commerce and Banking. Changing Dynamics in the Banking Industry. Changing Consumer Needs. Cost Reduction. Demographic Trends. Regulatory Reform. Technology-based Financial Services Products. Home Banking History. Why Will It Be Different This Time? Home Banking Implementation Approaches. Home Banking Using Bank's Proprietary Software. Banking via the PC Using Dial-Up Software. Banking via Online Services. Banking via the Web: Security First Network Bank. Open versus Closed Models. Management Issues in Online Banking. Differentiating Products and Services. Managing Financial Supply Chains. Pricing Issues in Online Banking. Marketing Issues: Attracting Customers. Marketing Issues: Keeping Customers. Back-Office Support for Online Banking. Integrating Telephone Call Centers with the Web. Summary. 8. Electronic Commerce and Retailing. Changing Retail Industry Dynamics. Overbuilding and Excess Capacity. Demographic Changes. Consumer Behavior. Technology Improvements in Electronic Retailing. Online Retailing Success Stories. Online Retailing: Peapod's Experience. CUC International. Wine on the Web: Virtual Vineyards. Web-based Travel Agencies. Mercantile Models from the Consumer's Perspective. Distinct Phases of a Consumer Mercantile Model. Prepurchase Preparation. Purchase Consummation. Postpurchase Interaction. Management Challenges in Online Retailing. Come Up with a Retailing Strategy. Manage Channel Conflict. Learn to Price Online Products/Services. Deliver a Satisfying Shopping Experience. Design the Layout of an Online Store. Manage Brands. Create the Right Incentives. Summary. 9. Electronic Commerce and Online Publishing. Why Online Publishing? Online Publishing Strategies. Online Publishing Approaches. Full-Text and Bibliographic Databases. Personalized and Customized News. Business Information and News Delivery. Edutainment = Education + Entertainment. Online Publishing Success Stories. PointCasting. Time Warner's Pathfinder. Disney Online. Integrating TV and Data Streams: Intercasting. Advertising and Online Publishing. An Online Publishing Missing Piece: Measurement. Digital Copyrights and Electronic Publishing. Online Copyright Protection Methods. Summary. 10. Intranets and Supply-Chain Management. Supply-Chain Management Fundamentals. Pull versus Push Supply-Chain Models. Elements of Supply-Chain Management. Integrating Functions in a Supply Chain. Managing Retail Supply Chains. The Order Management Cycle (OMC). Supply-Chain Application Software. Software for Supply-Chain Management. Recent Trends in Application Software. What Is the Business Market? Understanding the Application Software Architecture. Future of Supply-Chain Software. Intranets and Network-Centric Computing. Intranets and Application Software. Impact of the Web on Application Software. Elaborating on the Intranet Architecture. What Remains to Be Done? Summary. 11. Intranets and Customer Asset Management. Why Customer Asset Management? Challenges in Implementing Customer Asset Management. Customer Asset Management and Supply Chains. Online Sales Force Automation. What Is Sales Force Automation? Elements of Online Sales Automation. Intranets and Sales Automation. What Are the Management Issues? Online Customer Service and Support. The Web and Customer Service. The Role of Technology in Customer Service. What Are the Business Requirements? The Enabling Intranet Technology. Technology and Marketing Strategy. Marketing Decision Support Systems. Marketing Decision Support Applications. Summary. 12. Intranets and Manufacturing. Defining the Terminology. Integrated Logistics. Agile Manufacturing. Emerging Business Requirements. Customer-Driven Manufacturing. Rapid Internal Response to Demand Changes. Efficiently Managing Supply Chain Complexity. Manufacturing Information Systems. Discrete versus Process Manufacturing Market. Types of Manufacturing Information Systems. Intranet-Based Manufacturing. Customer-Driven Manufacturing. Real-Time Decision Support. Intelligent Process Management. Logistics Management. Problems with Traditional Logistics Management. Case Study: Microsoft Corp Integrated Logistics. Objective of Modern Logistics Function. Forecasting. Purchasing. Distribution Management. Electronic Data Interchange (EDI). Benefits of EDI. EDI in Action. Why Has EDI Adoption Lagged? Summary. 13. Intranets and Corporate Finance. Intranets and Finance. What Exactly Are Financial Systems? What Do Financial Systems Do? Financial Intranets. Understanding the Different Software Modules. Transaction Accounting and Electronic Commerce. Financial Analysis and Management Accounting. Inventory Accounting. Payment Management. Treasury and Cash Management. Human Resources Management Systems. HRMS Functions. Size/Structure of Financials Software Market. Product Strategy. Financial Data Warehouses. How Are Firms Using the Web for OLAP? Desirable Software Requirements. Summary. 0201880679T04062001

Andrew B. Whinston

Papers

Do online reviews matter? - An empirical investigation of panel data

The Dynamics of Online Word-of-Mouth and Product Sales: An Empirical Investigation of the Movie Industry

Frontiers of Electronic Commerce

Electronic Commerce: A Manager's Guide

The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry