Emotions and Personality in Personalized Services Models Evaluation and Applications 1st Edition by Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir – Ebook PDF Instant Download/Delivery: 3319314114, 9783319314112
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Product details:
ISBN 10: 3319314114
ISBN 13: 9783319314112
Author: Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Ante Odić, Andrej Košir
Personalization is ubiquitous from search engines to online-shopping websites helping us find content more efficiently and this book focuses on the key developments that are shaping our daily online experiences. With advances in the detection of end users’ emotions, personality, sentiment and social signals, researchers and practitioners now have the tools to build a new generation of personalized systems that will really understand the user’s state and deliver the right content. With leading experts from a vast array of domains from user modeling, mobile sensing and information retrieval to artificial intelligence, human-computer interaction (HCI) social computing and psychology, a broad spectrum of topics are covered. From discussing psychological theoretical models and exploring state-of-the-art methods for acquiring emotions and personality in an unobtrusive way, as well as describing how these concepts can be used to improve various aspects of the personalization process and chapters that discuss evaluation and privacy issues. Emotions and Personality in Personalized Systems will help aid researchers and practitioners develop and evaluate user-centric personalization systems that take into account the factors that have a tremendous impact on our decision-making – emotions and personality.
Table of contents:
Part I Background
1 Introduction to Emotions and Personality in Personalized Systems
2 Social Emotions. A Challenge for Sentiment Analysis and User Models
3 Models of Personality
Part II Acquisition and Corpora
4 Acquisition of Affect
5 Acquisition of Personality
6 Computing Technologies for Social Signals
7 Sentiment Analysis in Social Streams
8 Mobile-Based Experience Sampling for Behaviour Research
9 Affective and Personality Corpora
Part III Applications
10 Modeling User’s Social Attitude in a Conversational System
11 Personality and Recommendation Diversity
12 Affective Music Information Retrieval
13 Emotions and Personality in Adaptive e-Learning Systems: An Affective Computing Perspective
14 Emotion-Based Matching of Music to Places
15 Emotions in Context-Aware Recommender Systems
16 Towards User-Aware Music Information Retrieval: Emotional and Color Perception of Music
Part IV Evaluation and Privacy
17 Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations
18 Reflections on the Design Challenges Prompted by Affect-Aware Socially Assistive Robots
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Tags: Marko Tkalčič, Berardina De Carolis, Marco de Gemmis, Personality