On Personalizing Web Services Using Context

On Personalizing Web Services Using Context

Zakaria Maamar (Zayed University, UAE), Soraya Kouadri Mostéfaoui (Fribourg University, Switzerland) and Qusay H. Mahmoud (Guelph University, Canada)
DOI: 10.4018/978-1-59904-510-8.ch011
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Abstract

This chapter presents a context-based approach for Web services personalization so that user preferences are accommodated. Preferences are of different types, varying from when the execution of a Web service should start to where the outcome of this execution should be delivered according to user location. Besides user preferences, it will be discussed in this chapter that the computing resources on which the Web services operate have an impact on their personalization. Indeed, resources schedule the execution requests that originate from multiple Web services. To track the personalization of a Web service from a temporal perspective (i.e., what did happen, what is happening, and what will happen), three types of contexts are devised and referred to as user context, Web service context, and resource context.

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Table of Contents
Acknowledgment
Rafael Andrés González, Nong Chen, Ajantha Dahanayake
Chapter 1
Shan Chen, Mary-Anne Williams
Ontology learning has been identified as an inherently transdisciplinary area. Personalized ontology learning for Web personalization involves Web... Sample PDF
Learning Personalized Ontologies from Text: A Review on an Inherently Transdisciplinary Area
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Chapter 2
Nikos Manouselis, Constantina Costopoulou
The problem of collaborative filtering is to predict how well a user will like an item that he or she has not rated, given a set of historical... Sample PDF
Overview of Design Options for Neighborhood-Based Collaborative Filtering Systems
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Chapter 3
Rafael A. Gonzalez
In this chapter, information management problems and some of the computer-based solutions offered to deal with them are presented. The claim is that... Sample PDF
Exploring Information Management Problems in the Domain of Critical Incidents
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Chapter 4
Penelope Markellou, Maria Rigou, Spiros Sirmakessis
The Web has become a huge repository of information and keeps growing exponentially under no editorial control, while the human capability to find... Sample PDF
Mining for Web Personalization
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Chapter 5
Athena Vakali, Geroge Pallis, Lefteris Angelis
The explosive growth of the Web scale has drastically increased information circulation and dissemination rates. As the number of both Web users and... Sample PDF
Clustering Web Information Sources
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Chapter 6
Nong Chen, Ajantha Dahanayake
Personalized information seeking and retrieval is regarded as the solution to the problem of information overload in domains such as crisis response... Sample PDF
A Conceptual Structure for Designing Personalized Information Seeking and Retrieval Systems in Data-Intensive Domains
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Chapter 7
Amr Ali Eldin, Zoran Stojanovic
With the rapid developments of mobile telecommunications technology over the last two decades, a new computing paradigm known as ‘anywhere and... Sample PDF
Privacy Control Requirements for Context-Aware Mobile Services
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Chapter 8
Ricardo Barros, Geraldo Xexéo, Wallace A. Pinheiro, Jano de Souza
Due to the amount of information on the Web being so large and being of varying levels of quality, it is becoming increasingly difficult to find... Sample PDF
User and Context-Aware Quality Filters Based on Web Metadata Retrieval
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Chapter 9
Iker Gondra
In content-based image retrieval (CBIR), a set of low-level features are extracted from an image to represent its visual content. Retrieval is... Sample PDF
Personalized Content-Based Image Retrieval
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Chapter 10
Lu Yan
Humans are quite successful at conveying ideas to each other and retrieving information from interactions appropriately. This is due to many... Sample PDF
Service-Oriented Architectures for Context-Aware Information Retrieval and Access
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Chapter 11
Zakaria Maamar, Soraya Kouadri Mostéfaoui, Qusay H. Mahmoud
This chapter presents a context-based approach for Web services personalization so that user preferences are accommodated. Preferences are of... Sample PDF
On Personalizing Web Services Using Context
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Chapter 12
Haibin Zhu, MengChu Zhou
Agent system design is a complex task challenging designers to simulate intelligent collaborative behavior. Roles can reduce the complexity of agent... Sample PDF
Role-Based Multi-Agent Systems
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Chapter 13
Tarek Ben Mena, Narjès Bellamine-Ben Saoud, Mohamed Ben Ahmed, Bernard Pavard
This chapter aims to define context notion for multi-agent systems (MAS). Starting from the state of the art on context in different disciplines, we... Sample PDF
Towards a Context Definition for Multi-Agent Systems
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About the Contributors