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.

Inhalt
Preface.- Foreword.- **Part I: Background.-**Introduction to Emotions and Personality in Personalized Systems.- Social Emotions.- Models of Personality.- Part II Acquisition and Corpora.- Acquisition of Affect.-  Acquisition of Personality.- Computing Technologies for Social Signals.- Sentiment Analysis in Social Streams.- Mobile-Based Experience Sampling for Behaviour Research.- Affective and Personality Corpora.- Part III Applications.- Modeling User's Social Attitude in a Conversational System.- Personality and Recommendation Diversity.- Affective Music Information Retrieval.- Emotions and Personality in e-Learning Systems: an Affective Computing perspective.- Emotion-Based Matching of Music to Places.- Emotions in Context-aware Recommender Systems.- Towards User-Aware Music Information Retrieval: Emotional and Color Perception of Music.- Part IV Evaluation and Privacy.- Emotion Detection Techniques for the Evaluation of Serendipitous Recommendations.-  Reflections on The Design Challenges Prompted by Affect-Aware Socially Assistive Robots.