Web 2.0 applications provide a rich user experience, but the parts you can't see are just as important-and impressive. They use powerful techniques to process information intelligently and offer features based on patterns and relationships in data. Algorithms of the Intelligent Web shows readers how to use the same techniques employed by household names like Google Ad Sense, Netflix, and Amazon to transform raw data into actionable information.
Algorithms of the Intelligent Web is an example-driven blueprint for creating applications that collect, analyze, and act on the massive quantities of data users leave in their wake as they use the web. Readers learn to build Netflix-style recommendation engines, and how to apply the same techniques to social-networking sites. See how click-trace analysis can result in smarter ad rotations. All the examples are designed both to be reused and to illustrate a general technique- an algorithm-that applies to a broad range of scenarios.
As they work through the book's many examples, readers learn about recommendation systems, search and ranking, automatic grouping of similar objects, classification of objects, forecasting models, and autonomous agents. They also become familiar with a large number of open-source libraries and SDKs, and freely available APIs from the hottest sites on the internet, such as Facebook, Google, eBay, and Yahoo.
Dr. Haralambos (Babis) Marmanis is a pioneer in the adoption of machine learning techniques for industrial solutions, and also a world expert in supply management. He has about twenty years of experience in developing professional software. Currently, he is the director of R&D and chief architect, for expense management solutions, at Emptoris, Inc. Babis holds a Ph.D. in applied mathematics from Brown University, an M.S. degree in theoretical and applied mechanics from the University of Illinois at Urbana-Champaign, and B.S. and M.S. degrees in civil engineering from the Aristotle University of Thessaloniki in Greece. He was the recipient of the Sigma Xi award for innovative research in 2000, and he is the author of numerous publications in peer-reviewed international scientific journals, conferences, and technical periodicals.
Dmitry Babenko is the lead for the data warehouse infrastructure at Emptoris, Inc. He is a software engineer and architect with 13 years of experience in the IT industry. He has designed and built a wide variety of applications and infrastructure frameworks for banking, insurance, supply-chain management, and business intelligence companies. He received a M.S. degree in computer science from Belarussian State University of Informatics and Radioelectronics.
花了半个多月的时间断断续续地看完了这本书,说说感受。 1. 先说这本书的适用人群,在译者序里说是学生和需要梳理的工作者,但是在我看来,我觉得最佳的订位,应该是之前没有过相关经验,然后需要用最快的速度完成一个智能系统的人。因为本书把所有的知识简单化,当然随之的也...
评分可以作为智能算法学习的起点,覆盖了搜索、推荐、聚类、分类等领域,有大量实用的示例代码,提供了很多扩展阅读的资源,以此为线索可以帮助我们循序渐进的深入智能算法的领域。 不足之处: 书中代码的部分常常没有事先说明思路,直接先上代码,而代码中琐碎无关的部分,以及排...
评分最近在阿稳的带领下翻译一本算法方面的书,<a href="http://www.amazon.com/gp/product/1933988665/" target="_blank">Algorithms of Intelligent Web</a>。讲的主要内容是诸如分类、聚类、推荐系统、搜索等等所谓智能算法在Web应用中的使用。例如,Amazon如果根据用户的购买和...
评分说实话,这本书也就只够看看目录,如果还有其他的价值的话,可能因为是国外的书翻译过来的,本身有些参考文献和开源工具介绍还不错,权且看看机器学习和数据挖掘等智能算法的应用方式罢了。 如果真要深入研究其中的算法,我觉得还是找其他书吧,这本书对算法讲解...
评分有朋友对构建本书中的代码运行环境有疑问,特别准备了一点介绍,为了格式上的方便,请访问这里:http://gossipcoder.com/?p=842
作为一名对技术领域有浓厚兴趣的爱好者,我一直在寻找一本能够系统性地介绍网络智能算法的书籍,而这本书恰好满足了我的需求。它不仅仅是罗列各种算法,更重要的是,它深入浅出地阐述了这些算法是如何在现实世界的网络应用中发挥作用的。书中对各种案例的分析,让我能够将理论知识与实际应用相结合,理解这些算法的强大之处,以及它们如何驱动着我们每天接触到的各种智能服务。
评分这本书的排版设计相当人性化,这一点我必须特别强调。即使内容可能比较晦涩,但作者和出版方在细节上做得非常到位,极大地提升了阅读体验。章节的划分清晰明了,每个小节的标题都能够准确地概括其内容,让我能够快速定位到自己感兴趣的部分,或者在需要时迅速找到相关的参考信息。更值得称赞的是,书中那些抽象的算法概念,都配有精心绘制的图示和表格,这些视觉化的辅助工具,如同黑暗中的灯塔,指引我理解那些复杂的数学模型和逻辑流程,让原本可能令人生畏的知识变得生动易懂。
评分拿到这本书的瞬间,我就感受到了它沉甸甸的分量,这不仅仅是指物理上的重量,更是一种知识的厚重感。我迫不及待地翻开了第一页,就被作者严谨的逻辑和流畅的文笔所折服。开篇的引言部分就如同一个巧妙的引子,将我带入了一个充满可能性和挑战的智能网络世界。作者并没有直接抛出枯燥的概念,而是通过生动的比喻和引人入胜的故事,逐渐铺垫了整本书的主题,让我对即将展开的知识旅程充满了期待。
评分这本书给我的整体感觉是,它是一份非常扎实且具有前瞻性的学术著作。作者在其中展现出的深刻洞见和对未来发展趋势的敏锐洞察力,着实令人钦佩。通过阅读这本书,我不仅仅获得了知识,更重要的是,我仿佛站在了一个更高的视角,开始重新审视和理解我们所处的这个被智能技术深刻影响的世界。它所带来的启发,远不止于书本上的文字,更在于它激发了我对相关领域更深入探索的兴趣和动力。
评分这本书的封面设计非常吸引人,整体风格充满了科技感和未来感,我第一眼看到就被它深深地吸引住了。封面上的那些抽象的线条和闪烁的光点,隐约勾勒出了网络世界的某种脉络,仿佛预示着书中将要揭示的那些深邃而复杂的智能算法。我尤其喜欢封面配色,深邃的蓝色和明亮的橙色碰撞出一种既沉稳又充满活力的感觉,让人忍不住想要深入其中一探究竟。而且,书的纸质也很好,摸起来有种厚实而细腻的触感,翻阅时不会觉得廉价,这对于一本我期待已久的专业书籍来说,是非常重要的细节。
评分正在读这本书的中译本,是阿稳和陈钢译的,看得过程如沐春风。原稿很有特点,除了这个很难得的主题,以及别无分号的方法论(虽然定位为初级,但国内绝大多数业者都需要看),更主要的是他教学的思路很独特。最让我印象深刻的是译稿的质量,真得是许久未见的佳作!
评分这种书里使劲贴什么代码...注意品味...
评分很不错,但是距离好的实现还是有一大段距离,摸索中前进吧。
评分很不错的科普,但是不够系统全面,只有一些例子
评分这种风格的书真心不是我的菜。
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