How should I explain? A comparison of different explanation types for recommender systems F Gedikli, D Jannach, M Ge International Journal of Human-Computer Studies 72 (4), 367-382, 2014 | 418 | 2014 |
Accuracy improvements for multi-criteria recommender systems D Jannach, Z Karakaya, F Gedikli Proceedings of the 13th ACM conference on electronic commerce, 674-689, 2012 | 183 | 2012 |
What recommenders recommend–an analysis of accuracy, popularity, and sales diversity effects D Jannach, L Lerche, F Gedikli, G Bonnin User Modeling, Adaptation, and Personalization: 21th International …, 2013 | 159 | 2013 |
Recommending hotels based on multi-dimensional customer ratings D Jannach, F Gedikli, Z Karakaya, O Juwig Information and communication technologies in tourism 2012, 320-331, 2012 | 74 | 2012 |
Improving recommendation accuracy based on item-specific tag preferences F Gedikli, D Jannach ACM Transactions on Intelligent Systems and Technology (TIST) 4 (1), 1-19, 2013 | 73 | 2013 |
Rating items by rating tags F Gedikli, D Jannach Proceedings of the 2010 Workshop on Recommender Systems and the Social Web …, 2010 | 40 | 2010 |
Understanding recommendations by reading the clouds F Gedikli, M Ge, D Jannach E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011 …, 2011 | 35 | 2011 |
Placing High-Diversity Items in Top-N Recommendation Lists. M Ge, F Gedikli, D Jannach ITWP@ IJCAI, 2011 | 32 | 2011 |
Automatic WCET reduction by machine learning based heuristics for function inlining P Lokuciejewski, F Gedikli, P Marwedel, K Morik 3rd workshop on statistical and machine learning approaches to architectures …, 2009 | 32 | 2009 |
RF-REC: Fast and accurate computation of recommendations based on rating frequencies F Gedikli, F Bagdat, M Ge, D Jannach 2011 IEEE 13th Conference on Commerce and Enterprise Computing, 50-57, 2011 | 25 | 2011 |
Recommending based on rating frequencies F Gedikli, D Jannach Proceedings of the fourth ACM conference on Recommender systems, 233-236, 2010 | 20 | 2010 |
Recommender systems and the social web: Leveraging tagging data for recommender systems F Gedikli Springer Science & Business Media, 2013 | 19 | 2013 |
Neighborhood-restricted mining and weighted application of association rules for recommenders F Gedikli, D Jannach Web Information Systems Engineering–WISE 2010: 11th International Conference …, 2010 | 18 | 2010 |
Effects of the Placement of Diverse Items in Recommendation Lists. M Ge, D Jannach, F Gedikli, M Hepp ICEIS (2), 201-208, 2012 | 16 | 2012 |
LocalRank-Neighborhood-based, fast computation of tag recommendations M Kubatz, F Gedikli, D Jannach E-Commerce and Web Technologies: 12th International Conference, EC-Web 2011 …, 2011 | 14 | 2011 |
Accelerating WCET-driven optimizations by the invariant path paradigm: a case study of loop unswitching P Lokuciejewski, F Gedikli, P Marwedel Proceedings of th 12th International Workshop on Software and Compilers for …, 2009 | 10 | 2009 |
Recommender Systems, Semantic-Based. F Gedikli, D Jannach, R Alhajj, J Rokne Encyclopedia of Social Network Analysis and Mining, 1501-1510, 2014 | 8 | 2014 |
Bringing diversity to recommendation lists–an analysis of the placement of diverse items M Ge, D Jannach, F Gedikli Enterprise Information Systems: 14th International Conference, ICEIS 2012 …, 2013 | 5 | 2013 |
Explaining BERT model decisions for near-duplicate news article detection based on named entity recognition AS Novo, F Gedikli 2023 IEEE 17th International Conference on Semantic Computing (ICSC), 278-281, 2023 | 4 | 2023 |
Semi-Automated Identification of News Story Chains: A New Dataset and Entity-based Labeling Method. F Gedikli, AS Novo, D Jannach INRA@ RecSys, 29-42, 2021 | 4 | 2021 |