| You are where you tweet: a content-based approach to geo-locating twitter users Z Cheng, J Caverlee, K Lee Proceedings of the 19th ACM international conference on Information and …, 2010 | 1566 | 2010 |
| Exploring millions of footprints in location sharing services Z Cheng, J Caverlee, K Lee, D Sui Proceedings of the International AAAI Conference on Web and Social Media 5 …, 2011 | 932 | 2011 |
| Location prediction in social media based on tie strength J McGee, J Caverlee, Z Cheng Proceedings of the 22nd ACM international conference on Information …, 2013 | 211 | 2013 |
| Improving user topic interest profiles by behavior factorization Z Zhao, Z Cheng, L Hong, EH Chi Proceedings of the 24th International Conference on World Wide Web, 1406-1416, 2015 | 153 | 2015 |
| Dcn v2: Improved deep & cross network and practical lessons for web-scale learning to rank systems R Wang, R Shivanna, D Cheng, S Jain, D Lin, L Hong, E Chi Proceedings of the web conference 2021, 1785-1797, 2021 | 148* | 2021 |
| Spatio-temporal dynamics of online memes: a study of geo-tagged tweets KY Kamath, J Caverlee, K Lee, Z Cheng Proceedings of the 22nd international conference on World Wide Web, 667-678, 2013 | 131 | 2013 |
| Sampling-bias-corrected neural modeling for large corpus item recommendations X Yi, J Yang, L Hong, DZ Cheng, L Heldt, A Kumthekar, Z Zhao, L Wei, ... Proceedings of the 13th ACM Conference on Recommender Systems, 269-277, 2019 | 118 | 2019 |
| Self-supervised learning for large-scale item recommendations T Yao, X Yi, DZ Cheng, F Yu, T Chen, A Menon, L Hong, EH Chi, S Tjoa, ... Proceedings of the 30th ACM International Conference on Information …, 2021 | 117* | 2021 |
| Beyond globally optimal: Focused learning for improved recommendations A Beutel, EH Chi, Z Cheng, H Pham, J Anderson Proceedings of the 26th International Conference on World Wide Web, 203-212, 2017 | 70 | 2017 |
| A geographic study of tie strength in social media J McGee, JA Caverlee, Z Cheng Proceedings of the 20th ACM international conference on Information and …, 2011 | 67 | 2011 |
| Who is the barbecue king of texas? A geo-spatial approach to finding local experts on twitter Z Cheng, J Caverlee, H Barthwal, V Bachani Proceedings of the 37th international ACM SIGIR conference on Research …, 2014 | 63 | 2014 |
| Mixed negative sampling for learning two-tower neural networks in recommendations J Yang, X Yi, D Zhiyuan Cheng, L Hong, Y Li, S Xiaoming Wang, T Xu, ... Companion Proceedings of the Web Conference 2020, 441-447, 2020 | 62 | 2020 |
| A content-driven framework for geolocating microblog users Z Cheng, J Caverlee, K Lee ACM Transactions on Intelligent Systems and Technology (TIST) 4 (1), 1-27, 2013 | 59 | 2013 |
| Content-driven detection of campaigns in social media K Lee, J Caverlee, Z Cheng, DZ Sui Proceedings of the 20th ACM international conference on Information and …, 2011 | 47 | 2011 |
| Campaign extraction from social media K Lee, J Caverlee, Z Cheng, DZ Sui ACM Transactions on Intelligent Systems and Technology (TIST) 5 (1), 1-28, 2014 | 45 | 2014 |
| Detecting collective attention spam K Lee, J Caverlee, KY Kamath, Z Cheng Proceedings of the 2nd joint WICOW/AIRWeb workshop on web quality, 48-55, 2012 | 45 | 2012 |
| A model of two tales: Dual transfer learning framework for improved long-tail item recommendation Y Zhang, DZ Cheng, T Yao, X Yi, L Hong, EH Chi Proceedings of the web conference 2021, 2220-2231, 2021 | 39 | 2021 |
| Spatial influence vs. community influence: modeling the global spread of social media KY Kamath, J Caverlee, Z Cheng, DZ Sui Proceedings of the 21st ACM international conference on Information and …, 2012 | 36 | 2012 |
| Toward traffic-driven location-based web search Z Cheng, J Caverlee, KY Kamath, K Lee Proceedings of the 20th ACM international conference on Information and …, 2011 | 36 | 2011 |
| Learning to embed categorical features without embedding tables for recommendation WC Kang, DZ Cheng, T Yao, X Yi, T Chen, L Hong, EH Chi Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 35* | 2021 |
James CaverleeProfessor, Computer Science and Engineering, Texas A&M UniversityE-mail megerősítve itt: cse.tamu.edu
