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 |
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 |
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 | 44 | 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 | 39 | 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 | 30 | 2020 |
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 |
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 | 12 | 2019 |
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 | 10 | 2021 |
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 | 10 | 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 | 10 | 2019 |
Collaborative large language model for recommender systems Y Zhu, L Wu, Q Guo, L Hong, J Li arXiv preprint arXiv:2311.01343, 2023 | 8 | 2023 |
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 | 8 | 2020 |
Smart suggestions personalization with GLMix Q Guo, X Wu, B Hu, S Zhou, L Ni, EE Buchanan US Patent 10,956,515, 2021 | 7 | 2021 |
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 | 7 | 2020 |
Two-stage training with non-randomized and randomized data DSK Hewlett, D Liu, Q Guo, W Chen, X Zhang, LG Cottle III, X Yan, ... US Patent 11,204,973, 2021 | 5 | 2021 |
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 | 5 | 2021 |
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 | 5 | 2020 |
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 | 4 | 2023 |
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 | 4 | 2020 |