| Real-time top-n recommendation in social streams E Diaz-Aviles, L Drumond, L Schmidt-Thieme, W Nejdl Proceedings of the sixth ACM conference on Recommender systems, 59-66, 2012 | 165 | 2012 |
| Cross-tagging for personalized open social networking A Stewart, E Diaz-Aviles, W Nejdl, LB Marinho, A Nanopoulos, ... Proceedings of the 20th ACM Conference on Hypertext and Hypermedia, 271-278, 2009 | 41 | 2009 |
| Large-scale learning with AdaGrad on Spark AT Hadgu, A Nigam, E Diaz-Aviles 2015 IEEE International Conference on Big Data (Big Data), 2828-2830, 2015 | 39 | 2015 |
| Epidemic Intelligence for the Crowd, by the Crowd E Diaz-Aviles, A Stewart, E Velasco, K Denecke, W Nejdl Proceedings of the International AAAI Conference on Web and Social Media 6 (1), 2012 | 38 | 2012 |
| What is happening right now... that interests me? Online topic discovery and recommendation in twitter E Diaz-Aviles, L Drumond, Z Gantner, L Schmidt-Thieme, W Nejdl Proceedings of the 21st ACM international conference on Information and …, 2012 | 35 | 2012 |
| Tracking twitter for epidemic intelligence: case study: Ehec/hus outbreak in Germany, 2011 E Diaz-Aviles, A Stewart Proceedings of the 4th annual ACM web science conference, 82-85, 2012 | 33 | 2012 |
| Analyzing the blogosphere for predicting the success of music and movie products F Abel, E Diaz-Aviles, N Henze, D Krause, P Siehndel 2010 International Conference on Advances in Social Networks Analysis and …, 2010 | 32 | 2010 |
| Swarming to rank for information retrieval E Diaz-Aviles, W Nejdl, L Schmidt-Thieme Proceedings of the 11th Annual conference on Genetic and evolutionary …, 2009 | 29 | 2009 |
| Towards real-time customer experience prediction for telecommunication operators E Diaz-Aviles, F Pinelli, K Lynch, Z Nabi, Y Gkoufas, E Bouillet, ... 2015 IEEE International Conference on Big Data (Big Data), 1063-1072, 2015 | 27 | 2015 |
| Unsupervised auto-tagging for learning object enrichment E Diaz-Aviles, M Fisichella, R Kawase, W Nejdl, A Stewart European Conference on Technology Enhanced Learning, 83-96, 2011 | 24 | 2011 |
| Mining affective context in short films for emotion-aware recommendation C Orellana-Rodriguez, E Diaz-Aviles, W Nejdl Proceedings of the 26th ACM Conference on Hypertext & Social Media, 185-194, 2015 | 22 | 2015 |
| Lda for on-the-fly auto tagging E Diaz-Aviles, M Georgescu, A Stewart, W Nejdl Proceedings of the fourth ACM conference on Recommender systems, 309-312, 2010 | 22 | 2010 |
| Optimizing multi-relational factorization models for multiple target relations LR Drumond, E Diaz-Aviles, L Schmidt-Thieme, W Nejdl Proceedings of the 23rd ACM International Conference on Conference on …, 2014 | 20 | 2014 |
| Towards personalized learning to rank for epidemic intelligence based on social media streams E Diaz-Aviles, A Stewart, E Velasco, K Denecke, W Nejdl Proceedings of the 21st International Conference on World Wide Web, 495-496, 2012 | 20 | 2012 |
| Taking the pulse of political emotions in Latin America based on social web streams E Diaz-Aviles, C Orellana-Rodriguez, W Nejdl 2012 Eighth Latin American Web Congress, 40-47, 2012 | 17 | 2012 |
| Swarming to rank for recommender systems E Diaz-Aviles, M Georgescu, W Nejdl Proceedings of the sixth ACM conference on Recommender systems, 229-232, 2012 | 14 | 2012 |
| Mining emotions in short films: user comments or crowdsourcing? C Orellana-Rodriguez, E Diaz-Aviles, W Nejdl Proceedings of the 22nd International Conference on World Wide Web, 69-70, 2013 | 13 | 2013 |
| Chemical reactant recommendation using a network of organic chemistry J Savage, A Kishimoto, B Buesser, E Diaz-Aviles, C Alzate Proceedings of the Eleventh ACM Conference on Recommender Systems, 210-214, 2017 | 9 | 2017 |
| (Blue) taxi destination and trip time prediction from partial trajectories HT Lam, E Diaz-Aviles, A Pascale, Y Gkoufas, B Chen arXiv preprint arXiv:1509.05257, 2015 | 9 | 2015 |
| Predicting user engagement in twitter with collaborative ranking E Diaz-Aviles, HT Lam, F Pinelli, S Braghin, Y Gkoufas, M Berlingerio, ... Proceedings of the 2014 Recommender Systems Challenge, 41-46, 2014 | 9 | 2014 |
Wolfgang NejdlProfessor of Computer Science, Leibniz Universität Hannover, L3S Research Center, Hannover, GermanyEmail verificata su kbs.uni-hannover.de
