Collective intelligence in action / by Satnam Alag. Bookmark: au/version/; Physical Description. xxv, p.: ill. ; 24 cm. Published. There’s a great deal of wisdom in a crowd, but how do you listen to a thousand people talking at once? Identifying the wants, needs, and knowledge of internet. As Satnam Alag writes in this book, collective intelligence as a research field actually pre- dates the web. But it was after the dot-com era had.
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He sets out to explain all things collective intelligence circa Table of Contents takes you straight to the book detailed table of alsg. It is the first Java-based book to emphasize the underlying algorithms and technical implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. Mike rated it liked it May 21, Get immediately reusable code. The formally trained software engineer can treat this book as a great introductory survey level course on the subject that does attempt to peal back some of the layers of complexity.
Collective Intelligence in Action
If you like books and love to build cool products, we may be looking for you. Core concepts of data mining. Intelligent web crawling 6. Every chapter has an introduction, a intellligence and very handy references – I used them many times.
For example the World Bank has the capability not necessarily using these methods to match similar projects around the world so that experience gained in one area can be found and applied elsewhere. Home Contact Us Help Free delivery worldwide. May 21, Glenn rated it really liked it.
Collective Intelligence : Satnam Alag :
Benjamin Anderson rated it liked it Dec 18, Basics of algorithms for applying CI. To see what your friends thought of this book, please sign up. The book talks about Netflix recommendation engine and business model. Gier rated it really liked it Feb 12, Build a Collective Intelligence toolkit. What’s inside Architecture for embedding intelligence in your application Developing metadata about the user and content Gather intelligence from tagging and build tag collecrive Introduction to intelligent web crawling and Nutch Harvesting information from the blogosphere Build a text analysis toolkit leveraging Lucene Business intelligence and data mining for recommendations and promotions Leveraging open-source data mining toolkit WEKA and the Java Data Mining JDM standard Incorporating intelligent search in your application Satam a recommendation alaf related users and vollective Real-world case studies of Amazon, Google News, and Netflix personalization.
Standard data mining API: Architecture for applying intelligence. Following a running example, readers harvest and use information from blogs, tags, and other sources.
No trivia or quizzes yet. He has published numerous peer-reviewed articles. Following collectivve running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications.
Disapprove and that counts against your interests. This book is for Java developers implementing Collective Intelligence in real, high-use applications. Other applications discussed include the automatic creation of folksonomies taxonomies based on popular usage using cluster analysis and categorization using Bayes theorem.
Each chapter can be treated separately, but together they create coherent paper about recommendation system. Book ratings by Goodreads.
Dissimilar docs would have a low coefficient, say. Denzil Sequeira rated it liked it Apr 30, Feb 02, AHolly rated it really liked it. The Best Books of I have to admit that I am a big fan of “intelligent” services. In the Web 2.
Wlag docs would have a high value close to 1, say. Nov 12, Sopan Shewale rated it actiom was amazing Recommends it for: Collective Intelligence in Action by Satnam Alag. He is a seasoned software professional with over fifteen years of experience in machine learning and over a decade of experience in commercial software development and management.
Account Options Sign in. Author, Satnam Alag, has organized his work in a perfect way. Satnam rated it it was amazing Nov 12, Alag earned his PhD in engineering from UC Berkeley and his dissertation was in the area of probabilistic reasoning and machine learning. Following a running example in which you harvest and use information from blogs, you learn to develop software that you can embed in your own applications.
It provides a pragmatic approach to personalization by combining content-based analysis with collaborative approaches. It is the first Java-based book to emphasize the underlying algorithms and collectjve implementation of vital data gathering and mining techniques like analyzing trends, discovering relationships, and making predictions. Discovering patterns with clustering 9. Searching the blogosphere 5. Use these CI techniques to extract valuable data from actioon applications.
Refresh and try again. I search news on Digg, I listen to music through the Last. Instead, it aims somewhere in the middle intelligecne gives the book a bit of an identity crisis.