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Emotions and Personality in Personalized Services

Overview of attention for book
Cover of 'Emotions and Personality in Personalized Services'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Emotions and Personality in Personalized Systems
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    Chapter 2 Social Emotions. A Challenge for Sentiment Analysis and User Models
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    Chapter 3 Models of Personality
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    Chapter 4 Acquisition of Affect
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    Chapter 5 Acquisition of Personality
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    Chapter 6 Computing Technologies for Social Signals
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    Chapter 7 Sentiment Analysis in Social Streams
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    Chapter 8 Mobile-Based Experience Sampling for Behaviour Research
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    Chapter 9 Affective and Personality Corpora
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    Chapter 10 Modeling User’s Social Attitude in a Conversational System
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    Chapter 11 Personality and Recommendation Diversity
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    Chapter 12 Affective Music Information Retrieval
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    Chapter 13 Emotions and Personality in Adaptive e-Learning Systems: An Affective Computing Perspective
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    Chapter 14 Emotion-Based Matching of Music to Places
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    Chapter 15 Emotions in Context-Aware Recommender Systems
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    Chapter 16 Towards User-Aware Music Information Retrieval: Emotional and Color Perception of Music
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    Chapter 17 Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations
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    Chapter 18 Reflections on the Design Challenges Prompted by Affect-Aware Socially Assistive Robots
Attention for Chapter 8: Mobile-Based Experience Sampling for Behaviour Research
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Chapter title
Mobile-Based Experience Sampling for Behaviour Research
Chapter number 8
Book title
Emotions and Personality in Personalized Services
Published by
Springer International Publishing, July 2016
DOI 10.1007/978-3-319-31413-6_8
Book ISBNs
978-3-31-931411-2, 978-3-31-931413-6
Authors

Veljko Pejovic, Neal Lathia, Cecilia Mascolo, Mirco Musolesi, Pejovic, V, Lathia, N, Mascolo, C, Musolesi, M, Pejovic, Veljko, Lathia, Neal, Mascolo, Cecilia, Musolesi, Mirco

Editors

Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 <1%
Austria 1 <1%
Brazil 1 <1%
Unknown 105 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 30 27%
Student > Master 14 13%
Researcher 12 11%
Student > Doctoral Student 10 9%
Student > Bachelor 10 9%
Other 19 17%
Unknown 15 14%
Readers by discipline Count As %
Computer Science 48 44%
Psychology 21 19%
Engineering 8 7%
Social Sciences 7 6%
Arts and Humanities 2 2%
Other 5 5%
Unknown 19 17%

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