Mountain View, California
United States
16
2025-11-06
The entities that hold a legal rights for patent applications filed by inventor CHEN Ji:
Ji CHEN from Mountain View, US has applied for patents for these inventions. The list has both pending applications and granted patents:
ALLOCATING SHOPPERS FOR ORDER FULFILLMENT BY AN ONLINE CONCIERGE SYSTEM ACCOUNTING FOR VARIABLE NUMBERS OF SHOPPERS ACROSS DIFFERENT TIME WINDOWS AND VARYING CAPABILITIES FOR FULFILLING ORDERS
#2 | 2025-06-19PREDICTING SHOPPER SUPPLY DURING A TIME INTERVAL BASED ON INTERACTIONS BY SHOPPERS WITH A SHOPPER ASSIGNMENT APPLICATION DURING EARLIER TIME INTERVALS
#3 | 2025-06-05ALLOCATING SHOPPERS AND ORDERS FOR FULFILLMENT BY AN ONLINE CONCIERGE SYSTEM TO ACCOUNT FOR VARIABLE NUMBERS OF SHOPPERS ACROSS DIFFERENT TIME WINDOWS
#4 | 2024-08-01FINITE RANK DEEP KERNEL LEARNING WITH LINEAR COMPUTATIONAL COMPLEXITY
#5 | 2024-03-28MACHINE LEARNING BASED RESOURCE ALLOCATION OPTIMIZATION
#6 | 2024-02-29Adjusting demand for order fulfillment during various time intervals for order fulfillment by an online concierge system
#7 | 2024-02-01ALLOCATING SHOPPERS FOR ORDER FULFILLMENT BY AN ONLINE CONCIERGE SYSTEM ACCOUNTING FOR VARIABLE NUMBERS OF SHOPPERS ACROSS DIFFERENT TIME WINDOWS AND VARYING CAPABILITIES FOR FULFILLING ORDERS
#8 | 2024-01-18Allocating shoppers and orders for fulfillment by an online concierge system to account for variable numbers of shoppers across different time windows
#9 | 2023-12-07DETERMINING ESTIMATED DELIVERY TIME OF ITEMS OBTAINED FROM A WAREHOUSE FOR USERS OF AN ONLINE CONCIERGE SYSTEM TO REDUCE PROBABILITIES OF DELIVERY AFTER THE ESTIMATED DELIVERY TIME
#10 | 2023-11-02Predicting shopper supply during a time interval based on interactions by shoppers with a shopper assignment application during earlier time intervals
#11 | 2023-06-22SELECTING METHODS TO ALLOCATE SHOPPERS FOR ORDER FULFILLMENT IN GEOGRAPHIC REGIONS BY AN ONLINE CONCIERGE SYSTEM BASED ON MACHINE-LEARNED EFFICIENCIES FOR DIFFERENT ALLOCATION METHODS
#12 | 2023-02-02Adjusting demand for order fulfillment during various time intervals for order fulfillment by an online concierge system
#13 | 2022-12-29Determining estimated delivery time of items obtained from a warehouse for users of an online concierge system to reduce probabilities of delivery after the estimated delivery time
#14 | 2022-11-10Allocating shoppers for order fulfillment by an online concierge system accounting for variable numbers of shoppers across different time windows and varying capabilities for fulfilling orders
#15 | 2022-09-15Allocating shoppers and orders for fulfillment by an online concierge system to account for variable numbers of shoppers across different time windows
#16 | 2021-02-11Finite rank deep kernel learning with linear computational complexity
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