عنوان

Web page recommendation models :

(Number (ISBN

1608452484

(Number (ISBN

9781608452484

Erroneous ISBN

9781608452477

Number

b789534

Title Proper

Web page recommendation models :

General Material Designation

[Book]

Other Title Information

theory and algorithms /

First Statement of Responsibility

Șule Gündüz-Ögüdücü.

Place of Publication, Distribution, etc.

San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) :

Name of Publisher, Distributor, etc.

Morgan & Claypool,

Date of Publication, Distribution, etc.

©2011.

Specific Material Designation and Extent of Item

1 online resource (viii, 77 pages :

Other Physical Details

illustrations

Series Title

Synthesis lectures on data management,

Volume Designation

# 10

ISSN of Series

2153-5426 ;

Text of Note

Part of: Synthesis digital library of engineering and computer science.

Text of Note

Series from website.

Text of Note

Includes bibliographical references (pages 69-75).

Text of Note

1. Introduction to web page recommender systems.

Text of Note

2. Preprocessing for web page recommender models -- Data collection -- Data preprocessing -- Web usage data preprocessing -- User and session identification -- Page time calculation -- Web content and structure data preprocessing -- Data model.

Text of Note

3. Pattern extraction -- Collaborative filtering -- Learning user preferences -- Association rules -- Clustering -- Page clusters -- Session clusters -- Sequential patterns -- Combination of web page recommender systems -- Combination methods -- Semantic web.

Text of Note

4. Evaluation metrics -- Bibliography -- Author's biography.

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8

8

8

Text of Note

One of the application areas of data mining is the World Wide Web (WWW or Web), which serves as a huge, widely distributed, global information service for every kind of information such as news, advertisements, consumer information, financial management, education, government, e-commerce, health services, and many other information services. The Web also contains a rich and dynamic collection of hyperlink information, Web page access and usage information, providing sources for data mining. The amount of information on the Web is growing rapidly, as well as the number of Web sites and Web pages per Web site. Consequently, it has become more difficult to find relevant and useful information for Web users. Web usage mining is concerned with guiding the Web users to discover useful knowledge and supporting them for decision-making. In that context, predicting the needs of a Web user as she visits Web sites has gained importance. The requirement for predicting user needs in order to guide the user in a Web site and improve the usability of the Web site can be addressed by recommending pages to the user that are related to the interest of the user at that time. This monograph gives an overview of the research in the area of discovering and modeling the users' interest in order to recommend related Web pages. The Web page recommender systems studied in this monograph are categorized according to the data mining algorithms they use for recommendation.

Source for Acquisition/Subscription Address

Safari Books Online

Stock Number

CL0500000343

Title

Web page recommendation models.

International Standard Book Number

1608452476

Recommender systems (Information filtering)

Web sites-- Ratings and rankings.

COMPUTERS-- Enterprise Applications-- Business Intelligence Tools.

COMPUTERS-- Intelligence (AI) & Semantics.

Recommender systems (Information filtering)

Web sites-- Ratings and rankings.

COM-- 004000

COM-- 005030

Number

Edition

Class number

Book number

Gündüz-Ögüdücü, Șule.

Date of Transaction

20201207025918.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y