| 12367220 |
Clustering data describing interactions performed after receipt of a query based on similarity between embeddings for different queries |
Taesik Na, Tejaswi Tenneti, Xiao Xiao |
2025-07-22 |
| 12287819 |
Machine learned models for search and recommendations |
Taesik Na, Li Tan, Jian-Feng Li, Xiao Xiao |
2025-04-29 |
| 12259894 |
Accounting for item attributes when selecting items satisfying a query based on item embeddings and an embedding for the query |
Taesik Na, Zhihong Xu, Guanghua Shu, Tejaswi Tenneti |
2025-03-25 |
| 12222937 |
Training a machine learned model to determine relevance of items to a query using different sets of training data from a common domain |
Taesik Na, Yuqing Xie, Tejaswi Tenneti |
2025-02-11 |
| 12217203 |
Picking sequence optimization within a warehouse for an item list |
Xinyu Li, Ruoming Jin |
2025-02-04 |
| 12210591 |
Weakly supervised extraction of attributes from unstructured data to generate training data for machine learning models |
Shih-Ting Lin, Jonathan Newman, Min Xie |
2025-01-28 |
| 12204614 |
Training a classification model using labeled training data that does not overlap with target classifications for the classification model |
Saurav Manchanda, Krishnakumar Subramanian, Min Xie |
2025-01-21 |