| Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS’22) | 0 | 0.34 | 2022 |
| An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system | 0 | 0.34 | 2022 |
| Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules | 0 | 0.34 | 2022 |
| Generating Post Hoc Review-Based Natural Language Justifications For Recommender Systems | 1 | 0.35 | 2021 |
| Emotions Understanding Model from Spoken Language using Deep Neural Networks and Mel-Frequency Cepstral Coefficients | 0 | 0.34 | 2020 |
| Towards a Social Robot as Interface for Tourism Recommendations. | 0 | 0.34 | 2020 |
| Towards Queryable User Profiles: Introducing Conversational Agents in a Platform for Holistic User Modeling | 0 | 0.34 | 2020 |
| Myrror: a platform for holistic user modeling. | 0 | 0.34 | 2020 |
| A Deep Learning Model for the Analysis of Medical Reports in ICD-10 Clinical Coding Task. | 0 | 0.34 | 2020 |
| A study of Machine Learning models for Clinical Coding of Medical Reports at CodiEsp 2020. | 0 | 0.34 | 2020 |
| Interfaces and Human Decision Making for Recommender Systems | 0 | 0.34 | 2020 |
| Identification Of Bot Accounts In Twitter Using 2D CNNs On User-generated Contents. | 0 | 0.34 | 2019 |
| Handling Modifiers in Question Answering over Knowledge Graphs. | 0 | 0.34 | 2019 |
| Linked open data-based explanations for transparent recommender systems. | 5 | 0.49 | 2019 |
| UMAP 2019 Workshop on Explainable and Holistic User Modeling (ExHUM) Chairs' Welcome & Organization. | 0 | 0.34 | 2019 |
| Semantics-aware Recommender Systems exploiting Linked Open Data and graph-based features. | 2 | 0.37 | 2018 |
| Myrror: a Platform for Quantified Self and Holistic User Modeling. | 0 | 0.34 | 2018 |
| Proceedings of the Workshop on Knowledge-aware and Conversational Recommender Systems 2018 co-located with 12th ACM Conference on Recommender Systems, KaRS@RecSys 2018, Vancouver, Canada, October 7, 2018. | 0 | 0.34 | 2018 |
| TV-Program Retrieval and Classification: A Comparison of Approaches based on Machine Learning. | 1 | 0.36 | 2018 |
| Knowledge-aware and conversational recommender systems. | 4 | 0.39 | 2018 |
| Towards a Conceptual Model for Holistic Recommendations. | 0 | 0.34 | 2018 |
| Moving from Item Rating to Features Relevance in Top-N Recommendation. | 0 | 0.34 | 2018 |
| A Framework for Holistic User Modeling Merging Heterogeneous Digital Footprints. | 0 | 0.34 | 2018 |
| Temporal Semantic Analysis of Conference Proceedings. | 0 | 0.34 | 2017 |
| Recommending Doctors and Health Facilities in the HealthNet Social Network. | 0 | 0.34 | 2017 |
| Recommender Systems in the Internet of Talking Things (IoTT). | 0 | 0.34 | 2017 |
| Tuning Personalized PageRank for Semantics-Aware Recommendations Based on Linked Open Data. | 1 | 0.35 | 2017 |
| A Multi-criteria Recommender System Exploiting Aspect-based Sentiment Analysis of Users' Reviews | 5 | 0.40 | 2017 |
| A Hybrid Recommendation Framework Exploiting Linked Open Data and Graph-based Features. | 1 | 0.36 | 2017 |
| Learning Word Embeddings from Wikipedia for Content-Based Recommender Systems. | 18 | 1.26 | 2016 |
| Semantics-aware Graph-based Recommender Systems Exploiting Linked Open Data. | 20 | 1.00 | 2016 |
| T-RecS: A Framework for a Temporal Semantic Analysis of the ACM Recommender Systems Conference. | 0 | 0.34 | 2016 |
| A Framework For Personalized Wealth Management Exploiting Case-Based Recommender Systems | 2 | 0.42 | 2015 |
| Personalized finance advisory through case-based recommender systems and diversification strategies | 7 | 0.48 | 2015 |
| A General Architecture for an Emotion-aware Content-based Recommender System | 0 | 0.34 | 2015 |
| An investigation on the serendipity problem in recommender systems | 28 | 0.98 | 2015 |
| Modeling Short-Term Preferences in Time-Aware Recommender Systems. | 0 | 0.34 | 2015 |
| A Multimodal Framework for Recognizing Emotional Feedback in Conversational Recommender Systems | 1 | 0.43 | 2015 |
| CrowdPulse: A framework for real-time semantic analysis of social streams | 11 | 0.78 | 2015 |
| Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (#IntRS) | 2 | 0.41 | 2015 |
| Report on RecSys 2014: Workshop on New Trends in Content-Based Recommender Systems | 3 | 0.47 | 2015 |
| Playing with knowledge: A virtual player for "Who Wants to Be a Millionaire?" that leverages question answering techniques. | 3 | 0.40 | 2015 |
| A Recommender System for Connecting Patients to the Right Doctors in the HealthNet Social Network | 2 | 0.36 | 2015 |
| Financial Product Recommendation through Case-based Reasoning and Diversification Techniques. | 3 | 0.38 | 2014 |
| The Contribution Of Ai To Enhance Understanding Of Cultural Heritage | 3 | 0.43 | 2013 |
| Semantic Technologies For Industry: From Knowledge Modeling And Integration To Intelligent Applications | 3 | 0.45 | 2013 |
| Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems. | 2 | 0.36 | 2013 |
| Workshop on recommender systems meet big data & semantic technologies: SeRSy 2013 | 0 | 0.34 | 2013 |
| Workshop on human decision making in recommender systems: decisions@RecSys'13 | 0 | 0.34 | 2013 |
| Distributional Semantics for Answer Re-ranking in Question Answering. | 0 | 0.34 | 2013 |
