tailieunhanh - Collective Intelligence in Action phần 2

để xem mô phỏng cho phép bạn để mô phỏng các tương tác người dùng từ mã thử nghiệm của bạn. Để kiểm tra các ứng dụng mẫu, bạn sẽ viết một Xem mô phỏng Không có các từ vựng được kiểm soát, phân loại chuyên nghiệp phát triển. | Classifying intelligence 17 Simpo PDF Merge and Split Unregistered Version - http related field is information retrieval which deals with finding relevant information by analyzing the content of the documents. Web and text mining deal with analyzing unstructured content to find patterns in them. Most applications are content-rich. This content is indexed by search engines and can be used by the recommendation engine to recommend relevant content to a user. CLUSTERING AND PREDICTIVE ANALYSIS Clustering and predictive analysis are two main components of data mining. Clustering techniques enable you to classify items users or content into natural groupings. Predictive analysis is a mathematical model that predicts a value based on the input data. INTELLIGENT SEARCH Search is one of the most commonly used techniques for retrieving content. In later chapters we look at Lucene an open source Java search engine developed through the Apache foundation. We look at how information about the user can be used to customize the search through intelligent filters that enhance search results when appropriate. RECOMMENDATION ENGINE A recommendation engine offers relevant content to a user. Again recommendation engines can be built by analyzing the content by analyzing user interactions collaborative approach or a combination of both. Figure shows a screenshot from Yahoo Music in which a user is recommended music by the application. Figure Screenshot from Yahoo Music recommending songs of interest 18 Chapter 1 Understanding collective intelligence Simpo PDF Merge and Split Unregistered Version - http Recommendation engines use inputs from the user to offer a list of recommended items. The inputs to the recommendation engine may be items in the user s shopping list items she s purchased in the past or is considering purchasing user-profile information such as age tags and articles that the user has looked at or contributed or any other useful