Case Base Maintenance in Preference-based CBR.- Learning to Estimate: A Case-Based Approach to Task Execution Prediction .- Case-based Policy and Goal Recognition.- Adapting Sentiments with Context.- Aspect Selection for Social Recommender Systems.- Music Recommendation: Audio Neighbourhoods to Discover Music in the Long Tail.- Goal-Driven Autonomy with Semantically-annotated Hierarchical Cases.- Evaluating a Textual Adaptation System.- Visual Case Retrieval for Interpreting Skill Demonstrations.- Improving Trust-Guided Behavior Adaptation Using Operator Feedback.- Top-Down Induction of Similarity Measures Using Similarity Clouds.- Improving Case Retrieval Using Typicality.- CBR Meets Big Data: A Case Study of Large-Scale Adaptation Rule Generation.- Addressing the Cold-Start Problem in Facial Expression Recognition.- Flexible Feature Deletion: Compacting Case Bases by Selectively Compressing Case Contents.- A Case-Based Approach For Easing Schema Semantic Mapping.- Great Explanations: Opinionated Explanations for Recommendation.- Learning and Applying Adaptation Operators in Process-Oriented Case-Based Reasoning.- Fault Diagnosis via Fusion of Information from a Case Stream.- Argument-based Case Revision in CBR for Story Generation.- CBR Model for Predicting a Building's Electricity Use: On-Line Implementation in the Absence of Historical Data.- Modelling Hierarchical Relationships in Group Recommender Systems.- Semi-automatic Knowledge Extraction from Semi-structured andUnstructured Data within the OMAHA Project.- Evidence-Driven Retrieval in Textual CBR: Bridging the Gap Between Retrieval and Reuse.- Maintaining and Analyzing Production Process Definitions Using a Tree-Based Similarity Measure.- Case-Based Plan Recognition Under Imperfect Observability.