| From Data Analysis to Intent-Based Recommendation: An Industrial Case Study in the Video Domain | 0 | 0.34 | 2022 |
| Towards Feature Selection for Ranking and Classification Exploiting Quantum Annealers | 0 | 0.34 | 2022 |
| Offline Evaluation of Recommender Systems in a User Interface With Multiple Carousels | 0 | 0.34 | 2022 |
| Towards Recommender Systems with Community Detection and Quantum Computing | 0 | 0.34 | 2022 |
| Towards the Evaluation of Recommender Systems with Impressions | 0 | 0.34 | 2022 |
| An Evaluation Study of Generative Adversarial Networks for Collaborative Filtering | 0 | 0.34 | 2022 |
| Measuring the Ranking Quality of Recommendations in a Two-Dimensional Carousel Setting. | 0 | 0.34 | 2021 |
| Optimizing the Selection of Recommendation Carousels with Quantum Computing | 0 | 0.34 | 2021 |
| A Methodology for the Offline Evaluation of Recommender Systems in a User Interface with Multiple Carousels | 1 | 0.35 | 2021 |
| A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research | 6 | 0.41 | 2021 |
| Feature Selection For Recommender Systems With Quantum Computing | 1 | 0.36 | 2021 |
| Lightweight and Scalable Model for Tweet Engagements Predictions in a Resource-constrained Environment | 0 | 0.34 | 2021 |
| Demonstrating the Equivalence of List Based and Aggregate Metrics to Measure the Diversity of Recommendations (Student Abstract). | 0 | 0.34 | 2021 |
| Measuring the User Satisfaction in a Recommendation Interface with Multiple Carousels | 0 | 0.34 | 2021 |
| Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems | 1 | 0.35 | 2020 |
| Multi-Objective Blended Ensemble For Highly Imbalanced Sequence Aware Tweet Engagement Prediction | 1 | 0.35 | 2020 |
| Methodological Issues in Recommender Systems Research (Extended Abstract). | 0 | 0.34 | 2020 |
| ContentWise Impressions: An industrial dataset with impressions included | 2 | 0.36 | 2020 |
| Towards Evaluating User Profiling Methods Based on Explicit Ratings on Item Features. | 0 | 0.34 | 2019 |
| Are we really making much progress? A worrying analysis of recent neural recommendation approaches | 33 | 0.87 | 2019 |
| Leveraging laziness, browsing-pattern aware stacked models for sequential accommodation learning to rank | 1 | 0.35 | 2019 |
| Movie genome: alleviating new item cold start in movie recommendation. | 8 | 0.46 | 2019 |
| A novel graph-based model for hybrid recommendations in cold-start scenarios. | 1 | 0.34 | 2018 |
| Deriving item features relevance from collaborative domain knowledge. | 1 | 0.34 | 2018 |
| Eigenvalue analogy for confidence estimation in item-based recommender systems. | 0 | 0.34 | 2018 |
| Aggregating Models for Anomaly Detection in Space Systems - Results from the FCTMAS Study. | 0 | 0.34 | 2018 |
| Artist-driven layering and user's behaviour impact on recommendations in a playlist continuation scenario | 6 | 0.41 | 2018 |
