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The adaptive web: methods and strategies of web personalizationJanuary 2007
  • Editors:
  • Peter Brusilovsky,
  • Alfred Kobsa,
  • Wolfgang Nejdl
Publisher:
  • Springer-Verlag
  • Berlin, Heidelberg
ISBN:978-3-540-72078-2
Published:01 January 2007
Pages:
763
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Abstract

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SECTION: Modeling technologies
chapter
User models for adaptive hypermedia and adaptive educational systems
pp 3–53

One distinctive feature of any adaptive system is the user model that represents essential information about each user. This chapter complements other chapters of this book in reviewing user models and user modeling approaches applied in adaptive Web ...

chapter
User profiles for personalized information access
pp 54–89

The amount of information available online is increasing exponentially. While this information is a valuable resource, its sheer volume limits its value. Many research projects and companies are exploring the use of personalized applications that manage ...

chapter
Data mining for web personalization
pp 90–135

In this chapter we present an overview of Web personalization process viewed as an application of data mining requiring support for all the phases of a typical data mining cycle. These phases include data collection and pre-processing, pattern discovery ...

chapter
Generic user modeling systems
pp 136–154

This chapter reviews research results in the field of Generic User Modeling Systems. It describes the purposes of such systems, their services within user-adaptive systems, and the different design requirements for research prototypes and commercial ...

chapter
Web document modeling
pp 155–192

A very common issue of adaptive Web-Based systems is the modeling of documents. Such documents represent domain-specific information for a number of purposes. Application areas such as Information Search, Focused Crawling and Content Adaptation (among ...

SECTION: Adaptation technologies
chapter
Personalized search on the world wide web
pp 195–230

With the exponential growth of the available information on theWorld Wide Web, a traditional search engine, even if based on sophisticated document indexing algorithms, has difficulty meeting efficiency and effectiveness performance demanded by users ...

chapter
Adaptive focused crawling
pp 231–262

The large amount of available information on the Web makes it hard for users to locate resources about particular topics of interest. Traditional search tools, e.g., search engines, do not always successfully cope with this problem, that is, helping ...

chapter
Adaptive navigation support
pp 263–290

Adaptive navigation support is a specific group of technologies that support user navigation in hyperspace, by adapting to the goals, preferences and knowledge of the individual user. These technologies, originally developed in the field of adaptive ...

chapter
Collaborative filtering recommender systems
pp 291–324

One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the opinions of other people. CF technology brings together the ...

chapter
Content-based recommendation systems
pp 325–341

This chapter discusses content-based recommendation systems, i.e., systems that recommend an item to a user based upon a description of the item and a profile of the user's interests. Content-based recommendation systems may be used in a variety of ...

chapter
Case-based recommendation
pp 342–376

Recommender systems try to help users access complex information spaces. A good example is when they are used to help users to access online product catalogs, where recommender systems have proven to be especially useful for making product suggestions ...

chapter
Hybrid web recommender systems
pp 377–408

Adaptive web sites may offer automated recommendations generated through any number of well-studied techniques including collaborative, content-based and knowledge-based recommendation. Each of these techniques has its own strengths and weaknesses. In ...

chapter
Adaptive content presentation for the web
pp 409–432

In this chapter we describe techniques for adaptive presentation of content on the Web. We first describe techniques to select and structure the content deemed to be most relevant for the current user in the current interaction context. We then ...

chapter
Adaptive 3D web sites
pp 433–462

In recent years, technological developments have made it possible to build interactive 3D models of objects and 3D Virtual Environments that can be experienced through the Web, using common, low-cost personal computers. As in the case of Web-based ...

SECTION: Applications
chapter
Adaptive information for consumers of healthcare
pp 465–484

This chapter discusses the application of some of the technologies of the adaptive web to the problem of providing information for healthcare consumers. The particular issues relating to this application area are discussed, including the goals of the ...

chapter
Personalization in e-commerce applications
pp 485–520

This chapter is about personalization and adaptation in electronic commerce (e-commerce) applications. In the first part, we briefly introduce the challenges posed by e-commerce and we discuss how personalization strategies can help companies to face ...

chapter
Adaptive mobile guides
pp 521–549

In this chapter we discuss various aspects of adaptive mobile guide applications. After having motivated the need for web based mobile applications, we will discuss technologies that are needed to enable adaptive mobile web applications, including not ...

chapter
Adaptive news access
pp 550–570

This chapter describes how the adaptive web technologies discussed in this book have been applied to news access. First, we provide an overview of different types of adaptivity in the context of news access and identify corresponding algorithms. For ...

SECTION: Challenges
chapter
Adaptive support for distributed collaboration
pp 573

Through interaction with others, a person develops multiple perspectives that become the basis for innovation and the construction of new knowledge. This chapter discusses the challenges facing emerging web-based technologies that enable distributed ...

chapter
Recommendation to groups
pp 596–627

Recommender systems have traditionally recommended items to individual users, but there has recently been a proliferation of recommenders that address their recommendations to groups of users. The shift of focus from an individual to a group makes more ...

chapter
Privacy-enhanced web personalization
pp 628–670

Consumer studies demonstrate that online users value personalized content. At the same time, providing personalization on websites seems quite profitable for web vendors. This win-win situation is however marred by privacy concerns since personalizing ...

chapter
Open corpus adaptive educational hypermedia
pp 671–696

Despite the fact that adaptive hypermedia techniques have proven their ability to provide user guidance and orientation in hyperspace, we do not currently see the widespread adoption of these techniques. A couple of reasons may explain this phenomenon. ...

chapter
Semantic web technologies for the adaptive web
pp 697–719

Ontologies and reasoning are the key terms brought into focus by the semantic web community. Formal representation of ontologies in a common data model on the web can be taken as a foundation for adaptive web technologies as well. This chapter describes ...

chapter
Usability engineering for the adaptive web
pp 720–762

This chapter discusses a usability engineering approach for the design and the evaluation of adaptive web-based systems, focusing on practical issues. A list of methods will be presented, considering a user-centered approach. After having introduced the ...

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Contributors
  • School of Computing and Information
  • University of California, Irvine
  • Gottfried Wilhelm Leibniz University Hannover

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