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Introduction to Emotions and Personality in Personalized Systems
(Springer, 2016)Personalized systems traditionally used the traces of user interactions to learn the user model, which was used by sophisticated algorithms to choose the appropriate content for the user and the situation. Recently, new ... -
Affective and Personality Corpora
(Springer, 2016)In this chapter we describe publicly available datasets with personality and affective parameters relevant to the research questions covered by this book. We briefly describe the available data, acquisition procedure, and ... -
Query-Based Entailment and Inseparability for ALC Ontologies
(AAAI Press, 2016)We investigate the problem whether two ALC knowledge bases are indistinguishable by queries over a given vocabulary. We give model-theoretic criteria and prove that this problem is undecidable for conjunctive queries (CQs) ... -
CodeTube: Extracting relevant fragments from software development video tutorials
(IEEE Computer Society, 2016)Nowadays developers heavily rely on sources of informal documentation, including Q&A forums, slides, or video tutorials, the latter being particularly useful to provide introductory notions for a piece of technology. ... -
Metric Temporal Logic for Ontology-Based Data Access over Log Data
(IJCAI Workshop 40, 2016)We present a new metric temporal logic HornMTL over dense time and its datalog extension datalogMTL. The use of datalogMTL is demonstrated in the context of ontology-based data access over meteorological data. We show ... -
The yoneda path to the buddhist monk blend
(CEUR, 2016)Mazzola et al. propose a metaphor to describe the process by means of which an open question is solved in a creative way, likening it to the manner by which, due to the Yoneda Lemma of category theory, the internal structure ... -
Towards a Lean Approach to Reduce Code Smells Injection: an Empirical Study
(Springer, 2016)Software Quality Assurance is a complex and time-expensive task. In this study we want to observe how agile developers react to just-in-time metrics about the code smells they introduce, and how the metrics influence the ... -
Recommendations with optimal combination of feature-based and item-based preferences
(Association for Computing Machinery, Inc, 2016)Many recommender systems rely on item ratings to predict users' preferences and generate recommendations. However, users often express preferences by referring to features of the items, e.g., "I like Tarantino's movies". ... -
Algorithms Aside: Recommendation As The Lens Of Life
(Association for Computing Machinery, Inc, 2016)In this position paper, we take the experimental approach of putting algorithms aside, and reflect on what recommenders would be for people if they were not tied to technology. By looking at some of the shortcomings that ... -
Recommending movies based on mise-en-scene design
(ACM, 2016)In this paper, we present an ongoing work that will ultimately result in a movie recommender system based on the Mise-en-Scène characteristics of the movies. We believe that the preferences of users on movies can be well ...