| Towards retrieval-based conversational recommendation | 0 | 0.34 | 2022 |
| Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood | 0 | 0.34 | 2022 |
| Collaborative Image Understanding | 0 | 0.34 | 2022 |
| Mitigating Popularity Bias in Recommendation: Potential and Limits of Calibration Approaches | 0 | 0.34 | 2022 |
| INFACT: An Online Human Evaluation Framework for Conversational Recommendation. | 0 | 0.34 | 2022 |
| A Survey on Conversational Recommender Systems | 7 | 0.62 | 2021 |
| Metric-Based Fault Prediction for Spreadsheets | 0 | 0.34 | 2021 |
| Session-aware recommendation: A surprising quest for the state-of-the-art | 4 | 0.55 | 2021 |
| Comprehending Spreadsheets: Which Strategies do Users Apply? | 0 | 0.34 | 2021 |
| Product metrics for spreadsheets—A systematic review | 0 | 0.34 | 2021 |
| Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method. | 0 | 0.34 | 2021 |
| Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems | 1 | 0.35 | 2020 |
| ECOM'20: The SIGIR 2020 Workshop on eCommerce | 0 | 0.34 | 2020 |
| Exploring Longitudinal Effects of Session-based Recommendations | 0 | 0.34 | 2020 |
| Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper | 1 | 0.35 | 2020 |
| Learning to recommend similar items from human judgments | 0 | 0.34 | 2020 |
| Methodological Issues in Recommender Systems Research (Extended Abstract). | 0 | 0.34 | 2020 |
| Towards More Impactful Recommender Systems Research. | 0 | 0.34 | 2019 |
| Session details: ACM UMAP 2019 Main Track. | 0 | 0.34 | 2019 |
| Measuring the impact of online personalisation: Past, present and future. | 2 | 0.36 | 2019 |
| Performance comparison of neural and non-neural approaches to session-based recommendation | 9 | 0.47 | 2019 |
| Explanations and User Control in Recommender Systems | 1 | 0.37 | 2019 |
| Tutorial: Sequence-Aware Recommender Systems | 0 | 0.34 | 2019 |
| Are Query-Based Ontology Debuggers Really Helping Knowledge Engineers? | 1 | 0.36 | 2019 |
| Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, ImpactRS@RecSys 2019), Copenhagen, Denmark, September 19, 2019. | 0 | 0.34 | 2019 |
| On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. | 0 | 0.34 | 2019 |
| Sequence-Aware Recommender Systems. | 23 | 0.88 | 2018 |
| Combining spreadsheet smells for improved fault prediction. | 0 | 0.34 | 2018 |
| Evaluation of Session-based Recommendation Algorithms. | 19 | 0.77 | 2018 |
| Optimal pricing in e-commerce based on sparse and noisy data. | 3 | 0.41 | 2018 |
| Streamingrec: a framework for benchmarking stream-based news recommenders. | 6 | 0.41 | 2018 |
| Offline performance vs. subjective quality experience: a case study in video game recommendation. | 0 | 0.34 | 2017 |
| A Comparison of Frequent Pattern Techniques and a Deep Learning Method for Session-Based Recommendation. | 2 | 0.35 | 2017 |
| Investigating Personalized Search in E-Commerce. | 1 | 0.35 | 2017 |
| Interacting with Recommenders. | 0 | 0.34 | 2017 |
| Preface to the Special Issue on Recommender Systems. | 1 | 0.35 | 2017 |
| A systematic review and taxonomy of explanations in decision support and recommender systems. | 10 | 0.55 | 2017 |
| User Perception of Next-Track Music Recommendations. | 2 | 0.36 | 2017 |
| Price and Profit Awareness in Recommender Systems. | 3 | 0.45 | 2017 |
| Leveraging multi-dimensional user models for personalized next-track music recommendation. | 7 | 0.49 | 2017 |
| Session-based item recommendation in e-commerce: on short-term intents, reminders, trends and discounts. | 10 | 0.52 | 2017 |
| Determining characteristics of successful recommendations from log data: a case study. | 8 | 0.51 | 2017 |
| Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques. | 3 | 0.40 | 2016 |
| Investigating Mere-Presence Effects of Recommendations on the Consumer Choice Process. | 1 | 0.36 | 2016 |
| Personalized Next-Track Music Recommendation with Multi-dimensional Long-Term Preference Signals. | 1 | 0.35 | 2016 |
| Finding errors in the Enron spreadsheet corpus. | 4 | 0.41 | 2016 |
| Clustering- and regression-based multi-criteria collaborative filtering with incremental updates. | 23 | 0.71 | 2015 |
| Adaptive Recommendation-based Modeling Support for Data Analysis Workflows | 2 | 0.38 | 2015 |
| Item Familiarity as a Possible Confounding Factor in User-Centric Recommender Systems Evaluation. | 7 | 0.51 | 2015 |
| What recommenders recommend: an analysis of recommendation biases and possible countermeasures | 33 | 1.02 | 2015 |
