Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: * Collaborative filtering techniques that enable online retailers to recommend products or media * Methods of clustering to detect groups of similar items in a large dataset * Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm * Optimization algorithms that search millions of possible solutions to a problem and choose the best one * Bayesian filtering, used in spam filters for classifying documents based on word types and other features * Using decision trees not only to make predictions, but to model the way decisions are made * Predicting numerical values rather than classifications to build price models * Support vector machines to match people in online dating sites * Non-negative matrix factorization to find the independent features in a dataset * Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect

本书结合Web 2.0以来Web开发领域的最新形势和特点，介绍了网站性能问题的现状、产生的原因，以及改善或解决性能问题的原则、技术技巧和最佳实践。重点关注网页的行为特征，阐释优化Ajax、CSS、JavaScript、Flash和图片处理等要素的技术，全面涵盖浏览器端性能问题的方方面面。在《高性能网站建设指南》中，作者给出了14条具体的优化原则，每一条原则都配以范例佐证，并提供了在线支持。《高性能网站建设指南》内容丰富，主要包括减少HTTP请求、Edge Computing技术、Expires Header技术、Gzip组件、CSS和JavaScript最佳实践、主页内联、Domain最小化、JavaScript优化、避免重定向的技巧、删除重复JavaScript的技巧、关闭ETags的技巧、Ajax缓存技术和最小化技术等。《高性能网站建设指南》适合Web架构师、信息架构师、Web开发人员及产品经理阅读和参考。

本书通过对JavaScript语言的分析，甄别出好的和坏的特性，从而提取出相对这门语言的整体而言具有更好的可靠性、可读性和可维护性的JavaScript的子集，以便你能用它创建真正可扩展的和高效的代码。
雅虎资深JavaScript架构师Douglas Crockford倾力之作。
向读者介绍如何运用JavaScript创建真正可扩展的和高效的代码。

Want your web site to display more quickly? This book presents 14 specific rules that will cut 25% to 50% off response time when users request a page. Author Steve Souders, in his job as Chief Performance Yahoo!, collected these best practices while optimizing some of the most-visited pages on the Web. Even sites that had already been highly optimized, such as Yahoo! Search and the Yahoo! Front Page, were able to benefit from these surprisingly simple performance guidelines. The rules in High Performance Web Sites explain how you can optimize the performance of the Ajax, CSS, JavaScript, Flash, and images that you've already built into your site -- adjustments that are critical for any rich web application. Other sources of information pay a lot of attention to tuning web servers, databases, and hardware, but the bulk of display time is taken up on the browser side and by the communication between server and browser. High Performance Web Sites covers every aspect of that process. Each performance rule is supported by specific examples, and code snippets are available on the book's companion web site. The rules include how to: * Make Fewer HTTP Requests * Use a Content Delivery Network * Add an Expires Header * Gzip Components * Put Stylesheets at the Top * Put Scripts at the Bottom * Avoid CSS Expressions * Make JavaScript and CSS External * Reduce DNS Lookups * Minify JavaScript * Avoid Redirects * Remove Duplicates Scripts * Configure ETags * Make Ajax Cacheable If you're building pages for high traffic destinations and want to optimize the experience of users visiting your site, this book is indispensable. "If everyone would implement just 20% of Steve's guidelines, the Web would be a dramatically better place. Between this book and Steve's YSlow extension, there's really no excuse for having a sluggish web site anymore." -Joe Hewitt, Developer of Firebug debugger and Mozilla's DOM Inspector "Steve Souders has done a fantastic job of distilling a massive, semi-arcane art down to a set of concise, actionable, pragmatic engineering steps that will change the world of web performance." -Eric Lawrence, Developer of the Fiddler Web Debugger, Microsoft Corporation