| Text categorization with support vector machines: Learning with many relevant features T Joachims European Conference on Machine Learning (ECML), 137-142, 1998 | 13263 | 1998 |
| Making large-scale SVM learning practical T Joachims Technical report, 1998 | 9217* | 1998 |
| Optimizing search engines using clickthrough data T Joachims Proceedings of the eighth ACM SIGKDD international conference on Knowledge …, 2002 | 5559 | 2002 |
| Transductive inference for text classification using support vector machines T Joachims International Conference on Machine Learning (ICML), 200-209, 1999 | 4214 | 1999 |
| Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms. T Joachims Kluwer Academic Publisher, 2002 | 2735* | 2002 |
| Large margin methods for structured and interdependent output variables. I Tsochantaridis, T Joachims, T Hofmann, Y Altun, Y Singer Journal of machine learning research 6 (9), 2005 | 2732 | 2005 |
| Training linear SVMs in linear time T Joachims Proceedings of the 12th ACM SIGKDD international conference on Knowledge …, 2006 | 2591 | 2006 |
| A Probabilistic Analysis of the Rocchio Algorithm with TFIDF for Text Categorization. T Joachims International Conference on Machine Learning (ICML), 1997 | 2473 | 1997 |
| Working set selection using second order information for training support vector machines. RE Fan, PH Chen, CJ Lin, T Joachims Journal of machine learning research 6 (12), 2005 | 2387 | 2005 |
| Accurately interpreting clickthrough data as implicit feedback T Joachims, L Granka, B Pan, H Hembrooke, G Gay Acm Sigir Forum 51 (1), 4-11, 2017 | 2024 | 2017 |
| Support vector machine learning for interdependent and structured output spaces I Tsochantaridis, T Hofmann, T Joachims, Y Altun International Conference on Machine Learning (ICML), 104, 2004 | 1810 | 2004 |
| Webwatcher: A tour guide for the world wide web T Joachims, D Freitag, T Mitchell IJCAI (1), 770-777, 1997 | 1332 | 1997 |
| Cutting-plane training of structural SVMs T Joachims, T Finley, CNJ Yu Machine learning 77, 27-59, 2009 | 1331 | 2009 |
| A support vector method for multivariate performance measures T Joachims Proceedings of the 22nd international conference on Machine learning, 377-384, 2005 | 1106 | 2005 |
| Eye-tracking analysis of user behavior in WWW search LA Granka, T Joachims, G Gay Proceedings of the 27th annual international ACM SIGIR conference on …, 2004 | 1020 | 2004 |
| In Google we trust: Users’ decisions on rank, position, and relevance B Pan, H Hembrooke, T Joachims, L Lorigo, G Gay, L Granka Journal of computer-mediated communication 12 (3), 801-823, 2007 | 1014 | 2007 |
| Webwatcher: A learning apprentice for the world wide web R Armstrong, D Freitag, T Joachims, T Mitchell AAAI Spring symposium on Information gathering from Heterogeneous …, 1995 | 1006 | 1995 |
| Transductive learning via spectral graph partitioning T Joachims International Conference on Machine Learning (ICML) 20 (1), 290, 2003 | 941 | 2003 |
| Learning a distance metric from relative comparisons M Schultz, T Joachims Advances in neural information processing systems 16, 2003 | 926 | 2003 |
| A support vector method for optimizing average precision Y Yue, T Finley, F Radlinski, T Joachims Proceedings of the 30th annual international ACM SIGIR conference on …, 2007 | 919 | 2007 |
Filip RadlinskiGoogle在 google.com 的电子邮件经过验证
