Spatial topic modeling in online social media for location recommendation B Hu, M Ester Proceedings of the 7th ACM conference on Recommender systems, 25-32, 2013 | 246 | 2013 |
Spatio-temporal topic modeling in mobile social media for location recommendation B Hu, M Jamali, M Ester 2013 IEEE 13th International Conference on Data Mining, 1073-1078, 2013 | 84 | 2013 |
Social topic modeling for point-of-interest recommendation in location-based social networks B Hu, M Ester 2014 IEEE international conference on data mining, 845-850, 2014 | 61 | 2014 |
Towards deep and representation learning for talent search at linkedin R Ramanath, H Inan, G Polatkan, B Hu, Q Guo, C Ozcaglar, X Wu, ... Proceedings of the 27th ACM international conference on information and …, 2018 | 60 | 2018 |
Talent search and recommendation systems at LinkedIn: Practical challenges and lessons learned SC Geyik, Q Guo, B Hu, C Ozcaglar, K Thakkar, X Wu, K Kenthapadi The 41st International ACM SIGIR Conference on Research & Development in …, 2018 | 52 | 2018 |
Factored model for search results and communications based on search results Q Guo, B Hu, X Wu, AR Nair, S Zhou, LG Cottle III US Patent 10,860,670, 2020 | 46 | 2020 |
Personalized deep models for smart suggestions ranking Q Guo, X Wu, B Hu, S Zhou, L Ni, EE Buchanan US Patent 10,628,432, 2020 | 45 | 2020 |
Mining near-duplicate graph for cluster-based reranking of web video search results Z Huang, B Hu, H Cheng, HT Shen, H Liu, X Zhou ACM Transactions on Information Systems (TOIS) 28 (4), 1-27, 2010 | 33 | 2010 |
Spatio-temporal topic models for check-in data Y Liu, M Ester, B Hu, DW Cheung 2015 IEEE International Conference on Data Mining, 889-894, 2015 | 30 | 2015 |
User features and social networks for topic modeling in online social media B Hu, Z Song, M Ester 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 24 | 2012 |
Learning the strength of the factors influencing user behavior in online social networks B Hu, M Jamali, M Ester 2012 IEEE/ACM International Conference on Advances in Social Networks …, 2012 | 20 | 2012 |
Microscopic and macroscopic spatio-temporal topic models for check-in data Y Liu, M Ester, Y Qian, B Hu, DW Cheung IEEE Transactions on Knowledge and Data Engineering 29 (9), 1957-1970, 2017 | 18 | 2017 |
One for all, all for one: Learning and transferring user embeddings for cross-domain recommendation C Li, Y Xie, C Yu, B Hu, Z Li, G Shu, X Qie, D Niu Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 15 | 2023 |
MrCAR: A multi-relational classification algorithm based on association rules Y Gu, H Liu, J He, B Hu, X Du 2009 International Conference on Web Information Systems and Mining, 256-260, 2009 | 15 | 2009 |
Joint representation learning of standardized entities and queries Q Guo, X Wu, B Hu, S Zhou, L Ni, EE Buchanan US Patent 11,436,522, 2022 | 14 | 2022 |
Tenrec: A large-scale multipurpose benchmark dataset for recommender systems G Yuan, F Yuan, Y Li, B Kong, S Li, L Chen, M Yang, C Yu, B Hu, Z Li, ... Advances in Neural Information Processing Systems 35, 11480-11493, 2022 | 13 | 2022 |
Transrec: Learning transferable recommendation from mixture-of-modality feedback J Wang, F Yuan, M Cheng, JM Jose, C Yu, B Kong, X He, Z Wang, B Hu, ... arXiv preprint arXiv:2206.06190, 2022 | 13 | 2022 |
Dynamic candidate pool retrieval and ranking Q Guo, X Wu, Y Yan, B Hu, K Thakkar, S Zhou, AR Nair, P Cheung US Patent App. 15/671,148, 2019 | 13 | 2019 |
Deep neural network architecture for search R Ramanath, G Polatkan, L Xu, B Hu, S Zhou, HH Lee US Patent App. 15/941,314, 2019 | 11 | 2019 |
Context aware dynamic candidate pool retrieval and ranking Q Guo, X Wu, B Hu, Y Yan, K Thakkar, S Zhou, AR Nair, P Cheung US Patent App. 15/671,144, 2019 | 10 | 2019 |