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Emotions and Personality in Personalized Services

Overview of attention for book
Emotions and Personality in Personalized Services
Springer International Publishing

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
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#8 of 118)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

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