本书涵盖了五类重要的智能算法：搜索、推荐、聚类、分类和分类器组合，并结合具体的案例讨论了它们在Web应用中的角色及要注意的问题。除了第1章的概要性介绍以及第7章对所有技术的整合应用外，第2～6章以代码示例的形式分别对这五类算法进行了介绍。 本书面向的是广大普通读者，特别是对算法感兴趣的工程师与学生，所以对于读者的知识背景并没有过多的要求。本书中的例子和思想应用广泛，所以对于希望从业务角度更好地理解有关技术的技术经理、产品经理和管理层来说，本书也有一定的价值。

《Web数据挖掘》旨在讲述这些任务以及它们的核心挖掘算法；尽可能涵盖每个话题的广泛内容，给出足够多的细节，以便读者无须借助额外的阅读，即可获得相对完整的关于算法和技术的知识。其中结构化数据的抽取、信息整合、观点挖掘和Web使用挖掘等4章是《Web数据挖掘》的特色，这些内容在已有书籍中没有提及，但它们在Web数据挖掘中却占有非常重要的地位。当然，传统的Web挖掘主题，如搜索、页面爬取和资源探索以及链接分析在书中也作了详细描述。 《Web数据挖掘》尽管题为“Web数据挖掘”，却依然涵盖了数据挖掘和信息检索的核心主题；因为Web挖掘大量使用了它们的算法和技术。数据挖掘部分主要由关联规则和序列模式、监督学习（分类）、无监督学习（聚类）这三大最重要的数据挖掘任务，以及半监督学习这个相对深入的主题组成。而信息检索对于Web挖掘而言最重要的核心主题都有所阐述。

Popular social networks such as Facebook, Twitter, and LinkedIn generate a tremendous amount of valuable social data. Who's talking to whom? What are they talking about? How often are they talking? Where are they located? This concise and practical book shows you how to answer these types of questions and more. Each chapter presents a soup-to-nuts approach that combines popular social web data, analysis techniques, and visualization to help you find the needles in the social haystack you've been looking for -- and some you didn't know were there. With Mining the Social Web, intermediate-to-advanced Python programmers will learn how to collect and analyze social data in way that lends itself to hacking as well as more industrial-strength analysis. The book is highly readable from cover to cover and tells a coherent story, but you can go straight to chapters of interest if you want to focus on a specific topic. Get a concise and straightforward synopsis of the social web landscape so you know which 20% of the space to spend 80% of your time on Use easily adaptable scripts hosted on GitHub to harvest data from popular social network APIs including Twitter, Facebook, and LinkedIn Learn how to slice and dice social web data with easy-to-use Python tools, and apply more advanced mining techniques such as TF-IDF, cosine similarity, collocation analysis, document summarization, and clique detection Build interactive visualizations with easily adaptable web technologies built upon HTML5 and JavaScript toolkits This book is still in progress, but you can get going on this technology through our Rough Cuts edition, which lets you read the manuscript as it's being written, either online or via PDF. via http://oreilly.com/catalog/9781449394844/ Amazon: http://www.amazon.com/Mining-Social-Web-Finding-Haystack/dp/1449388345/

《Web2.0策略指南》是有关战略的。书中的示例关注的是Web 2.0的效率，而不是聚焦于技术。你将了解到这样一个事实：创建Web 210业务或将Web 2.0战略整合到现在业务中，意味着创建一个吸引人们前来访问的在线站点，让人们愿意到这里来共享他们的思想、见闻和行动。当人们通过Web走到一起时，结果可能远远大于各部分的和。随着传统的“口碑传诵”助推站点高速成长，客户本身就能够帮助建立站点。 Web 2.0已成为新闻焦点，但它是如何赚钱的?作为一个简明指南，《Web2.0策略指南》解释了Web 2.0有什么特异之处，以及这些特异之处如何帮助公司赢利。无论你是一位正在谋划下一步行动的执行官，还是正在寻找扩张途径的企业主，或是正在规划下一个创新业务的企业家，《Web2.0策略指南》都通过真实生活中的示例展示了各种规模的公司如何在当今的网络上创造新机遇。

A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. All are networks, and all are a part of a surprising scientific revolution. Albert-László Barabási, the nation's foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previously thought. Grasping a full understanding of network science will someday allow us to design blue-chip businesses, stop the outbreak of deadly diseases, and influence the exchange of ideas and information. Just as James Gleick brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future.

当前的Web已经进入崭新的时代！本书涵盖了在基于独一无二的Web环境下、在创建丰富体验的过程中设计Web界面的最佳实践、模式和原理。UI专家Bill Scott和Theresa Neil在他们多年实践经验和不懈探索的基础上，总结提炼出了Web界面设计的六大原理——直截了当、简化交互、足不出户、提供邀请、使用变换和即时反应，并以这六大原理为依托，以当今Web上各类开风气之先的流行网站为示例，向读者展示了超过75种基于富交互构建Web界面的模式，并以简单明了的语言，阐明了数以百计行之有效的最佳实践。同时，书中还给出诸多反模式，即在Web界面设计过程中应该避免的做法。本书是迄今为止一部专注于富Web界面设计的经典之作。 本书既是一本Web界面设计指南，又是一本Web界面实例参考，适合Web界面设计、开发、研究人员、爱好者，以及Web项目管理人员阅读。