Collective Intelligence practice: getting started with collective intelligence, code occupies half of the length

In collective intelligence practice, the title of collective intelligence translates the book into "collective wisdom ". I wonder why the title is not translated into "collective wisdom practices ". The definition of "collective wisdom" in the book is long and unclear. I will summarize that the author believes that social networks, tag systems, and recommendation systems are the embodiment of "collective wisdom.

After reading it, I think it is basically an entry book. There are some basic introductions on the implementation principles of the software system involved in the book.Code. The code is rarely interpreted. It can be considered as an entry book.

The outline of the book is as follows:

Part 1: introduce collective wisdom:
Collective intelligence can be extracted from user interaction with the system (including bookmarks, shopping records, forwarding, clicks, and comments;
Tags and blogs are also important sources of collective wisdom;
This article introduces the implementation scheme of search blog and smart web content capturing.

Part 2: Implementation of collective wisdom:
This article introduces the Open-eye data mining architecture: WEKA;
This section describes Java-based Data Mining APIs: Java data mining (jdm );
Java-based open-source full-text search engine Lucene is introduced;
Use WEKA for clustering and prediction;

Part 3: practical examples of collective wisdom
Use Lucene to build a smart search engine;
Build a recommendation engine;