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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.

Computer science. --- Multimedia information systems. --- User interfaces (Computer systems). --- Artificial intelligence. --- Personal computers. --- Personality. --- Social psychology. --- Computer Science. --- Multimedia Information Systems. --- User Interfaces and Human Computer Interaction. --- Personal Computing. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- Personality and Social Psychology. --- Human-computer interaction. --- Personal communication service systems. --- PCS systems --- Personal telecommunication systems --- Personal wireless communication systems --- Personalized communication services --- Wireless personal communication systems --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Wireless communication systems --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Multimedia systems. --- Consciousness. --- Artificial Intelligence. --- Apperception --- Mind and body --- Perception --- Philosophy --- Psychology --- Spirit --- Self --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Informatics --- Science --- Computer-based multimedia information systems --- Multimedia computing --- Multimedia information systems --- Multimedia knowledge systems --- Information storage and retrieval systems --- Application software. --- Mass psychology --- Psychology, Social --- Human ecology --- Social groups --- Sociology --- Personal identity --- Personality psychology --- Personality theory --- Personality traits --- Personology --- Traits, Personality --- Individuality --- Persons --- Temperament --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Home computers --- Micro computers --- Micros (Microcomputers) --- PCs (Microcomputers) --- Personal computers --- Small computers --- Minicomputers --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Recommender systems (Information filtering)

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EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for the Italian language: since 2007 shared tasks have been proposed covering the analysis of both written and spoken language with the aim of enhancing the development and dissemination of resources and technologies for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it/) and it is supported by the NLP Special Interest Group of the Italian Association for Artificial Intelligence (AI*IA, http://www.aixia.it/) and by the Italian Association of Speech Science (AISV, http://www.aisv.it/). In this volume, we collect the reports of the tasks’ organisers and of the participants to all of the EVALITA 2016’s tasks, which are the following: ArtiPhone - Articulatory Phone Recognition; FactA - Event Factuality Annotation; NEEL-IT - Named Entity rEcognition and Linking in Italian Tweets; PoSTWITA - POS tagging for Italian Social Media Texts; QA4FAQ - Question Answering for Frequently Asked Questions; SENTIPOLC - SENTIment POLarity Classification. Notice that the volume does not include reports related to the IBM Watson Services Challenge organised by IBM Italy, but information can be found at http://www.evalita.it/2016/tasks/ibm-challenge. Before the task and participant reports, we also include an overview to the campaign that describes the tasks in more detail, provides figures on the participants, and, especially, highlights the innovations introduced at this year’s edition. An additional report presents a reflection on the outcome of two questionnaires filled by past participants and organisers of EVALITA, and of the panel “Raising Interest and Collecting Suggestions on the EVALITA Evaluation Campaign” held at CLIC-it 2015.

Linguistics --- linguistica computazionale --- riconoscimento telefonico articolare --- annotazione fattualità degli eventi --- entità chiamata rEcognition e collegamenti nei tweet italiani --- etichettare per messaggi social media --- classificazione polarità sentimenti --- linguistique computationelle --- reconnaissance téléphonique articulatoire --- annotation de facturation de l'événement --- entité appelée rEcognition et liens dans le tweets italien --- étiqueter les messages des médias sociaux --- classement polarité sentiments --- computational linguistics --- articulatory phone recognition --- event factuality annotation --- named entity rEcognition and linking in italian tweets --- tagging for italian social media texts --- sentiment polarity classification