The document discusses map reduce and how it can be used for recommendation systems. It describes how map reduce works by mapping data into key-value pairs and then reducing them. This allows large amounts of sparse, unstructured data to be processed efficiently across many machines. It then gives an example of how map reduce could be used to build a sequential web access-based recommendation system by mapping log data into a pattern tree that is continuously updated and used to provide recommendations.
The document discusses three options for business intelligence solutions: proprietary BI tools, custom-made BI tools, and commercial open source BI tools. Proprietary BI tools are established but expensive, catering mainly to large organizations. Custom-made BI tools are tailored to a specific organization but become complex to manage over time. Commercial open source BI tools are an affordable alternative for smaller organizations, benefiting from open source development while being supported by vendors.
The document discusses map reduce and how it can be used for recommendation systems. It describes how map reduce works by mapping data into key-value pairs and then reducing them. This allows large amounts of sparse, unstructured data to be processed efficiently across many machines. It then gives an example of how map reduce could be used to build a sequential web access-based recommendation system by mapping log data into a pattern tree that is continuously updated and used to provide recommendations.
The document discusses three options for business intelligence solutions: proprietary BI tools, custom-made BI tools, and commercial open source BI tools. Proprietary BI tools are established but expensive, catering mainly to large organizations. Custom-made BI tools are tailored to a specific organization but become complex to manage over time. Commercial open source BI tools are an affordable alternative for smaller organizations, benefiting from open source development while being supported by vendors.
The document discusses using MapReduce for a sequential web access-based recommendation system. It explains how web server logs could be mapped to create a pattern tree showing frequent sequences of accessed web pages. When making recommendations for a user, their access pattern would be compared to patterns in the tree to find matching branches to suggest. MapReduce is well-suited for this because it can efficiently process and modify the large, dynamic tree structure across many machines in a fault-tolerant way.
The document discusses map reduce and how it can be used for sequential web access-based recommendation systems. It explains that map reduce separates large, unstructured data processing from computation, allowing it to run efficiently on many machines. A map reduce job could process web server logs to build a pattern tree for recommendations, with the tree continuously updated from new data. When making recommendations for a user, their access pattern would be compared to the tree generated from all user data.
The document summarizes a student project on studying MapReduce and related technologies. It provides details on the project such as the timeframe, supervisor, and school. The student acknowledges their professor for guidance. MapReduce is a programming model for processing large datasets in a distributed computing environment. It allows for massive datasets to be processed in parallel across clusters of computers.
1. The document discusses various concepts related to developing pricing strategies and programs, including price-quality inferences, price endings, price cues, steps in setting price, types of costs, and methods for selecting a pricing method.
2. It provides examples of pricing objectives such as maximum market skimming, where companies introducing new technologies set high initial prices that are lowered over time, as Sony did with its early HDTVs.
3. The document reviews key considerations for setting prices, such as estimating costs (including fixed, variable, and semi-variable costs), determining demand, and analyzing competitors' price mixes.
Improving Questions for 22 Chapters Bohong LiBohong Li
The document provides improved learning questions for various chapters from Philip Kotler's marketing management textbook.
The summaries are:
1. It improves existing questions and provides conceptual explanations for marketing terminology from chapters on company orientation, marketing strategy, market research, customer value, market segmentation, and brand equity.
2. It addresses questions on topics like the marketing information system, market sensing, competitive analysis, product strategy, services marketing, pricing strategy, marketing channels, and retailing/wholesaling.
3. The questions are improved by clarifying ambiguous terms, adding conceptual context, and focusing on one right answer rather than listing all potential options.
This document discusses Taoist principles of yin and yang and how all things in the universe are dependent on each other in a relationship of opposition and interdependence. It references the Tao, yin, yang, and the origin and destruction of all things according to natural laws. The document also mentions having faith in one's true self and thanks the reader.
20 Year Personal Marketing Plan Bohong LiBohong Li
This document outlines a 20-year marketing plan for "Amazing Li" with the following key points:
1. The vision is for Amazing Li to become a traditional culture guardian who shares perspectives on human beings, values, and the universe to benefit others.
2. Over the next 20 years, Amazing Li aims to take on roles as a human being, athlete, employee, husband, son, friend, immortal, and monitored brand.
3. The plan involves daily self-monitoring and improvement to work towards short-term goals and a life of value, while tracking long-term objectives over the 20-year period.
This document outlines key concepts for developing pricing strategies and programs. It discusses consumer psychology and pricing, including reference prices, price-quality inferences, and price endings. It also summarizes the steps in setting price, including selecting a pricing objective, determining demand, estimating costs, analyzing competitors, and selecting a final price. Finally, it reviews various price-adaptation strategies, such as promotional pricing, differentiated pricing, and discounts or allowances.
Cebu Pacific's target market is budget-conscious travelers who want affordable, no-frills travel. Its main competitors are AirPhilExpress, Zest Air, Philippine Airlines, and AirAsia Philippines. The domestic air travel market size in 2010 was 8.4 million tourists or PhP 42 Billion, with estimated growth of 12% in 2011. Cebu Pacific has the most domestic destinations available and combines low airfares and online booking to attract customers.
The document discusses using MapReduce for a sequential web access-based recommendation system. It explains how web server logs could be mapped to create a pattern tree showing frequent sequences of accessed web pages. When making recommendations for a user, their access pattern would be compared to patterns in the tree to find matching branches to suggest. MapReduce is well-suited for this because it can efficiently process and modify the large, dynamic tree structure across many machines in a fault-tolerant way.
The document discusses map reduce and how it can be used for sequential web access-based recommendation systems. It explains that map reduce separates large, unstructured data processing from computation, allowing it to run efficiently on many machines. A map reduce job could process web server logs to build a pattern tree for recommendations, with the tree continuously updated from new data. When making recommendations for a user, their access pattern would be compared to the tree generated from all user data.
The document summarizes a student project on studying MapReduce and related technologies. It provides details on the project such as the timeframe, supervisor, and school. The student acknowledges their professor for guidance. MapReduce is a programming model for processing large datasets in a distributed computing environment. It allows for massive datasets to be processed in parallel across clusters of computers.
1. The document discusses various concepts related to developing pricing strategies and programs, including price-quality inferences, price endings, price cues, steps in setting price, types of costs, and methods for selecting a pricing method.
2. It provides examples of pricing objectives such as maximum market skimming, where companies introducing new technologies set high initial prices that are lowered over time, as Sony did with its early HDTVs.
3. The document reviews key considerations for setting prices, such as estimating costs (including fixed, variable, and semi-variable costs), determining demand, and analyzing competitors' price mixes.
Improving Questions for 22 Chapters Bohong LiBohong Li
The document provides improved learning questions for various chapters from Philip Kotler's marketing management textbook.
The summaries are:
1. It improves existing questions and provides conceptual explanations for marketing terminology from chapters on company orientation, marketing strategy, market research, customer value, market segmentation, and brand equity.
2. It addresses questions on topics like the marketing information system, market sensing, competitive analysis, product strategy, services marketing, pricing strategy, marketing channels, and retailing/wholesaling.
3. The questions are improved by clarifying ambiguous terms, adding conceptual context, and focusing on one right answer rather than listing all potential options.
This document discusses Taoist principles of yin and yang and how all things in the universe are dependent on each other in a relationship of opposition and interdependence. It references the Tao, yin, yang, and the origin and destruction of all things according to natural laws. The document also mentions having faith in one's true self and thanks the reader.
20 Year Personal Marketing Plan Bohong LiBohong Li
This document outlines a 20-year marketing plan for "Amazing Li" with the following key points:
1. The vision is for Amazing Li to become a traditional culture guardian who shares perspectives on human beings, values, and the universe to benefit others.
2. Over the next 20 years, Amazing Li aims to take on roles as a human being, athlete, employee, husband, son, friend, immortal, and monitored brand.
3. The plan involves daily self-monitoring and improvement to work towards short-term goals and a life of value, while tracking long-term objectives over the 20-year period.
This document outlines key concepts for developing pricing strategies and programs. It discusses consumer psychology and pricing, including reference prices, price-quality inferences, and price endings. It also summarizes the steps in setting price, including selecting a pricing objective, determining demand, estimating costs, analyzing competitors, and selecting a final price. Finally, it reviews various price-adaptation strategies, such as promotional pricing, differentiated pricing, and discounts or allowances.
Cebu Pacific's target market is budget-conscious travelers who want affordable, no-frills travel. Its main competitors are AirPhilExpress, Zest Air, Philippine Airlines, and AirAsia Philippines. The domestic air travel market size in 2010 was 8.4 million tourists or PhP 42 Billion, with estimated growth of 12% in 2011. Cebu Pacific has the most domestic destinations available and combines low airfares and online booking to attract customers.