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E-Commerce and Web Technologies

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

Table of Contents

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    Book Overview
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    Chapter 1 BRF: A Framework of Retrieving Brand Names of Products in Auction Sites
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    Chapter 2 An Adaptive Social Influence Propagation Model Based on Local Network Topology
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    Chapter 3 A Rule Based Personalized Location Information System for the Semantic Web
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    Chapter 4 $\cal{DIESECT}$ : A $\cal{DI}$ stributed $\cal{E}$ nvironment for $\cal{S}$ imulating $\cal{E}$ -commerce $\cal{C}$ ontrac $\cal{T}$ s
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    Chapter 5 Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies
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    Chapter 6 SDRule-L: Managing Semantically Rich Business Decision Processes
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    Chapter 7 A Hybrid Approach for Business Environment-Aware Management of Service-Based Business Processes
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    Chapter 8 Discovering Workflow-Aware Virtual Knowledge Flows for Knowledge Dissemination
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    Chapter 9 An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations
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    Chapter 10 Cold-Start Management with Cross-Domain Collaborative Filtering and Tags
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    Chapter 11 UtilSim: Iteratively Helping Users Discover Their Preferences
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    Chapter 12 Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics
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    Chapter 13 Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Contextual Modeling Approaches
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    Chapter 14 Matching Ads in a Collaborative Advertising System
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    Chapter 15 Confidence on Collaborative Filtering and Trust-Based Recommendations
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    Chapter 16 Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study
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    Chapter 17 Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems
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    Chapter 18 Recommendations Based on Different Aspects of Influences in Social Media
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    Chapter 19 Robustness Analysis of Naïve Bayesian Classifier-Based Collaborative Filtering
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E-Commerce and Web Technologies
Published by
Springer Berlin Heidelberg, August 2013
DOI 10.1007/978-3-642-39878-0
978-3-64-239877-3, 978-3-64-239878-0

Huemer, Christian, Lops, Pasquale

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 231 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 4 2%
France 2 <1%
Spain 2 <1%
Switzerland 1 <1%
Turkey 1 <1%
Colombia 1 <1%
Italy 1 <1%
Ecuador 1 <1%
Brazil 1 <1%
Other 5 2%
Unknown 212 92%

Demographic breakdown

Readers by professional status Count As %
Student > Master 69 30%
Student > Ph. D. Student 41 18%
Student > Bachelor 28 12%
Researcher 14 6%
Professor 12 5%
Other 40 17%
Unknown 27 12%
Readers by discipline Count As %
Computer Science 99 43%
Business, Management and Accounting 38 16%
Economics, Econometrics and Finance 20 9%
Social Sciences 10 4%
Engineering 10 4%
Other 14 6%
Unknown 40 17%