Tracked shipping to New Zealand with premium packaging for just NZ$15 

Ship to
New Zealand
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Web Page Recommendation Models
Type
Physical Book
Author
Publisher
Language
English
Pages
77
Format
Paperback
Dimensions
23.5 x 19.1 x 0.5 cm
Weight
0.17 kg.
ISBN13
9783031007149
Edition No.
1
Categories

Web Page Recommendation Models

Sule Gunduz-Oguducu (Author) · Springer · Paperback

Web Page Recommendation Models - Gunduz-Oguducu, Sule

Cheaper New Book Imported to New Zealand
Delivery: 21 Aug - 01 Sep Shipping: 12 to 14 business days.
NZ$ 71.41
Faster New Book Imported to New Zealand
Delivery: 11 Aug - 18 Aug Shipping: 4 to 5 business days.
NZ$ 85.45
Import costs and 15% GST included in the price ✅
NZ$ 71.41

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Web Page Recommendation Models"

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 guidethe 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. Table of Contents: Introduction to Web Page Recommender Systems / Preprocessing for Web Page Recommender Models / Pattern Extraction / Evaluation Metrics

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews