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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
  2. Altmetric Badge
    Chapter 1 Voting: A View through the Algorithmic Lens
  3. Altmetric Badge
    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
  15. Altmetric Badge
    Chapter 14 Product Variety, Consumer Preferences, and Web Technology: Can the Web of Data Reduce Price Competition and Increase Customer Satisfaction?
  16. Altmetric Badge
    Chapter 15 Perspectives for Web Service Intermediaries: How Influence on Quality Makes the Difference
  17. Altmetric Badge
    Chapter 16 Aligning Risk Management and Compliance Considerations with Business Process Development
  18. Altmetric Badge
    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
  23. Altmetric Badge
    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
  34. Altmetric Badge
    Chapter 33 Providing Relevant Background Information in Smart Environments
Overall attention for this book and its chapters
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Mentioned by

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1 Google+ user

Citations

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1 Dimensions

Readers on

mendeley
16 Mendeley
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Title
E-Commerce and Web Technologies
Published by
ADS, September 2009
DOI 10.1007/978-3-642-03964-5
ISBNs
978-3-64-203963-8, 978-3-64-203964-5
Editors

Noia, Tommaso, Buccafurri, Francesco

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 6%
Unknown 15 94%
Readers by discipline Count As %
Computer Science 1 6%
Unknown 15 94%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 April 2012.
All research outputs
#15,504,780
of 23,041,514 outputs
Outputs from ADS
#28,290
of 37,451 outputs
Outputs of similar age
#77,071
of 92,147 outputs
Outputs of similar age from ADS
#351
of 407 outputs
Altmetric has tracked 23,041,514 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,451 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 92,147 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 407 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.