| 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 | 71 | 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 | 62 | 2018 |
| 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 | 58 | 2020 |
| Collaborative large language model for recommender systems Y Zhu, L Wu, Q Guo, L Hong, J Li Proceedings of the ACM on Web Conference 2024, 3162-3172, 2024 | 55 | 2024 |
| 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 | 52 | 2020 |
| Questimator: Generating knowledge assessments for arbitrary topics Q Guo, C Kulkarni, A Kittur, JP Bigham, E Brunskill IJCAI-16: Proceedings of the AAAI Twenty-Fifth International Joint …, 2016 | 47 | 2016 |
| Detext: A deep text ranking framework with bert W Guo, X Liu, S Wang, H Gao, A Sankar, Z Yang, Q Guo, L Zhang, B Long, ... Proceedings of the 29th ACM international conference on information …, 2020 | 35 | 2020 |
| 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 | 14 | 2019 |
| Techniques for querying user profiles using neural networks R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent 10,795,897, 2020 | 13 | 2020 |
| Unsupervised learning of entity representations using graphs R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent 11,106,979, 2021 | 12 | 2021 |
| Generating supervised embedding representations for search R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent App. 16/021,639, 2020 | 12 | 2020 |
| 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 | 12 | 2019 |
| Path-specific counterfactual fairness for recommender systems Y Zhu, J Ma, L Wu, Q Guo, L Hong, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 10 | 2023 |
| Applying learning-to-rank for search R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent App. 16/021,692, 2020 | 9 | 2020 |
| Standardized entity representation learning for smart suggestions Q Guo, X Wu, B Hu, S Zhou, L Ni, EE Buchanan US Patent 10,726,025, 2020 | 8 | 2020 |
| Embedding layer in neural network for ranking candidates D Liu, DSK Hewlett, Q Guo, W Lu, X Zhang, W Sun, M Zhou, A Hsu, K Hu, ... US Patent 11,204,968, 2021 | 7 | 2021 |
| Generating supervised embeddings using unsupervised embeddings R Ramanath, G Polatkan, Q Guo, C Ozcaglar, K Kenthapadi, SC Geyik US Patent App. 16/021,654, 2020 | 7 | 2020 |
| The AI behind LinkedIn recruiter search and recommendation systems Q Guo, SC Geyik, C Ozcaglar, K Thakkar, N Anjum, K Kenthapadi Retrieved August 7, 2019, 2019 | 6 | 2019 |
| Rescaling layer in neural network DSK Hewlett, D Liu, Q Guo US Patent 11,397,742, 2022 | 3 | 2022 |
| Machine-learning techniques to suggest targeting criteria for content delivery campaigns R Zhou, Q Guo, J Oh, D Chan, W Chen, CC Hung, R Kumar, R Ramanath, ... US Patent App. 16/457,454, 2020 | 2 | 2020 |
