£73.85

Springer Adaptive and Personalized Semantic Web - Vol 14

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Description

Explore the complexities of Web Personalization with this specialized volume from the Studies in Computational Intelligence series. This book examines how organizations can tailor the digital experience to individual users or specific groups through data-driven strategies. To create effective personalization, the text explains how to leverage a wide range of data points. This includes analyzing usage and click-stream data to understand user behavior, as well as integrating site content, site structure, and domain knowledge. The content also covers the importance of user demographics and profiles in building a complete user picture. Readers will find insights into the intelligent techniques required to mine diverse data sets for actionable knowledge. The book focuses on how to use this discovered knowledge to improve the overall user experience on the web. It serves as a technical resource for those studying how to bridge the gap between raw data and meaningful, personalized web interactions.

Key Features

Covers essential methods for tailoring web experiences to specific users or user sets through data-driven actions.

Analyzes the role of usage and click-stream data in reflecting and understanding real-world user behavior.

Explains how to integrate site content, structure, and domain knowledge to improve personalization accuracy.

Provides insight into using user demographics and profiles to build more effective digital environments.

Discusses intelligent techniques for mining large data sets to extract actionable knowledge for web optimization.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
30 November 2010
Listed Since
20 September 2010

Barcode

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