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E-Commerce and Web Technologies

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Cover of 'E-Commerce and Web Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Implementing the WiPo Architecture
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    Chapter 2 Effective Web Crawling for Chinese Addresses and Associated Information
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    Chapter 3 Information Need in Cloud Service Procurement – An Exploratory Case Study
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    Chapter 4 Exploiting Freebase to Obtain GoodRelations-Based Product Ontologies
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    Chapter 5 Modelling and Linking Transformations in EPCIS Governing Supply Chain Business Processes
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    Chapter 6 Validator and Preview for the JobPosting Data Model of Schema.org
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    Chapter 7 Automotive Ranges as eCommerce Data
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    Chapter 8 Linked Data-based Conceptual Modelling for Recommendation: A FCA-Based Approach
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    Chapter 9 Usability Assessment of a Context-Aware and Personality-Based Mobile Recommender System
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    Chapter 10 A Linked Data Recommender System Using a Neighborhood-Based Graph Kernel
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    Chapter 11 Resource Recommendation in Social Annotation Systems Based on User Partitioning
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    Chapter 12 Active Learning in Collaborative Filtering Recommender Systems
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    Chapter 13 Personality-Aware Collaborative Filtering: An Empirical Study in Multiple Domains with Facebook Data
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    Chapter 14 Modelling User Preferences from Implicit Preference Indicators via Compensational Aggregations
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    Chapter 15 Using Dependency Bigrams and Discourse Connectives for Predicting the Helpfulness of Online Reviews
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    Chapter 16 Customer Load Strategies for Demand Response in Bilateral Contracting of Electricity
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    Chapter 17 E-Commerce and Web Technologies
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    Chapter 18 How to Create an E-Advertising Adaptation Strategy: The AEADS Approach
  20. Altmetric Badge
    Chapter 19 Modelling User Behaviour in Online Q&A Communities for Customer Support
Attention for Chapter 12: Active Learning in Collaborative Filtering Recommender Systems
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48 Mendeley
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Chapter title
Active Learning in Collaborative Filtering Recommender Systems
Chapter number 12
Book title
E-Commerce and Web Technologies
Published by
Springer International Publishing, September 2014
DOI 10.1007/978-3-319-10491-1_12
Book ISBNs
978-3-31-910490-4, 978-3-31-910491-1
Authors

Mehdi Elahi, Francesco Ricci, Neil Rubens, Elahi, Mehdi, Ricci, Francesco, Rubens, Neil

Editors

Martin Hepp, Yigal Hoffner

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 27%
Researcher 7 15%
Student > Ph. D. Student 7 15%
Student > Doctoral Student 2 4%
Student > Bachelor 2 4%
Other 4 8%
Unknown 13 27%
Readers by discipline Count As %
Computer Science 28 58%
Engineering 5 10%
Mathematics 1 2%
Medicine and Dentistry 1 2%
Economics, Econometrics and Finance 1 2%
Other 0 0%
Unknown 12 25%