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E-Commerce and Web Technologies

Overview of attention for book
Cover of 'E-Commerce and Web Technologies'

Table of Contents

  1. Altmetric Badge
    Book Overview
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    Chapter 1 Voting: A View through the Algorithmic Lens
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    Chapter 2 Personalized Popular Blog Recommender Service for Mobile Applications
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    Chapter 3 Bargaining Agents in Wireless Contexts: An Alternating-Offers Protocol for Multi-issue Bilateral Negotiation in Mobile Marketplaces
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    Chapter 4 A Group Recommender System for Tourist Activities
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    Chapter 5 Personalized Location-Based Recommendation Services for Tour Planning in Mobile Tourism Applications
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    Chapter 6 Do You Trust Your Phone?
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    Chapter 7 A Multi-scheme and Multi-channel Framework for Micropayment Systems
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    Chapter 8 Secure Transaction Protocol for CEPS Compliant EPS in Limited Connectivity Environment
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    Chapter 9 Trust Enhanced Authorization for Mobile Agents
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    Chapter 10 Towards Semantic Modelling of Business Processes for Networked Enterprises
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    Chapter 11 Metadata-Driven SOA-Based Application for Facilitation of Real-Time Data Warehousing
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    Chapter 12 Exploiting Domain Knowledge by Automated Taxonomy Generation in Recommender Systems
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    Chapter 13 Automatic Generation of Mashups for Personalized Commerce in Digital TV by Semantic Reasoning
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    Chapter 14 Product Variety, Consumer Preferences, and Web Technology: Can the Web of Data Reduce Price Competition and Increase Customer Satisfaction?
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    Chapter 15 Perspectives for Web Service Intermediaries: How Influence on Quality Makes the Difference
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    Chapter 16 Aligning Risk Management and Compliance Considerations with Business Process Development
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    Chapter 17 E-Commerce and Web Technologies
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    Chapter 18 RCQ-GA: RDF Chain Query Optimization Using Genetic Algorithms
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    Chapter 19 Integrating Markets to Bridge Supply and Demand for Knowledge Intensive Tasks
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    Chapter 20 Real-Time Robust Adaptive Modeling and Scheduling for an Electronic Commerce Server
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    Chapter 21 Content-Based Personalization Services Integrating Folksonomies
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    Chapter 22 Computational Complexity Reduction for Factorization-Based Collaborative Filtering Algorithms
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    Chapter 23 Sequence-Based Trust for Document Recommendation
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    Chapter 24 Recommender Systems on the Web: A Model-Driven Approach
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    Chapter 25 Designing a Metamodel-Based Recommender System
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    Chapter 26 Towards Privacy Compliant and Anytime Recommender Systems
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    Chapter 27 Assessing Robustness of Reputation Systems Regarding Interdependent Manipulations
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    Chapter 28 Fraud Detection by Human Agents: A Pilot Study
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    Chapter 29 Finding My Needle in the Haystack: Effective Personalized Re-ranking of Search Results in Prospector
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    Chapter 30 RATC: A Robust Automated Tag Clustering Technique
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    Chapter 31 ISeller: A Flexible Personalization Infrastructure for e-Commerce Applications
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    Chapter 32 Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce
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    Chapter 33 Providing Relevant Background Information in Smart Environments
Attention for Chapter 13: Automatic Generation of Mashups for Personalized Commerce in Digital TV by Semantic Reasoning
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Citations

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Chapter title
Automatic Generation of Mashups for Personalized Commerce in Digital TV by Semantic Reasoning
Chapter number 13
Book title
E-Commerce and Web Technologies
Published in
ADS, September 2009
DOI 10.1007/978-3-642-03964-5_13
Book ISBNs
978-3-64-203963-8, 978-3-64-203964-5
Authors

Yolanda Blanco-Fernández, Martín López-Nores, José J. Pazos-Arias, Manuela I. Martín-Vicente, Blanco-Fernández, Yolanda, López-Nores, Martín, Pazos-Arias, José J., Martín-Vicente, Manuela I.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 22%
Professor 1 11%
Student > Master 1 11%
Student > Ph. D. Student 1 11%
Professor > Associate Professor 1 11%
Other 1 11%
Unknown 2 22%
Readers by discipline Count As %
Computer Science 7 78%
Unknown 2 22%

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