- Mountain View CA, US Shanxiang QI - Burlingame CA, US Bin PAN - San Mateo CA, US
International Classification:
G01C 21/34 G06Q 10/02 G06Q 50/30
Abstract:
Multi-modal itineraries may be scheduled by setting a time to request a future transportation mode. An itinerary including a set of transportation modes to allow a rider to travel from an origin to a destination may be obtained. A first non-self-controlled transportation mode from the set of transportation modes may be obtained. A second non-self-controlled transportation mode from the set of transportation modes may be obtained. A request time for the second non-self-controlled transportation mode may be scheduled.
Method And System For Recommending Multi-Modal Itineraries
- Mountain View CA, US Shanxiang QI - Burlingame CA, US Bin PAN - San Mateo CA, US
International Classification:
G06Q 10/02 G06N 20/00
Abstract:
Itineraries may be recommended using rider context information relating to a rider. The rider context information may be obtained from various sources. Location information including an origin and a destination may obtained. A set of itineraries may be generated based on the rider context information. Each itinerary may include at least one mode of transportation to allow the rider to travel from the origin to the destination. Each itinerary in the set of itineraries may be ranked based on the rider context information.
Service Information And Configuration User Interface
- San Francisco CA, US Didier Patrick Hilhorst - San Francisco CA, US Bryant Jow - San Francisco CA, US Peter Ng - San Francisco CA, US Brian Tolkin - San Francisco CA, US Bin Pan - Belmont CA, US
A computing system can receive input data specifying a destination location for a requesting user and determine a guaranteed upfront cost for transporting the requesting user to the specified destination location. The system can cause the computing device of the requesting user to display a ride service selection interface comprising a graphic feature indicating the guaranteed upfront cost for the specified transport option. Based on a user selection of the graphic feature, the computing system can select a driver from the one or more available drivers based, at least in part, on a proximity of the selected driver to the current location of the requesting user, and determine a rendezvous point at which the requesting user can rendezvous with the selected driver.
Service Information And Configuration User Interface
- San Francisco CA, US Didier Patrick Hilhorst - San Francisco CA, US Bryant Jow - San Francisco CA, US Peter Ng - San Francisco CA, US Brian Tolkin - San Francisco CA, US Bin Pan - Belmont CA, US
A network computer system can receive data indicating a first service location from a computing device of a requesting user via an executing service application and determine data indicating a second service location. Based the first and second service locations, the network computer system can compute an upfront cost for each of a plurality of service options for completing an on-demand service for the requesting user. The network computer system can transmit data associated with the upfront cost for each of the plurality of service options to the computing device to enable a plurality of selectable graphic features to be displayed as part of a user interface on the computing device. Each of the graphic features can indicate the upfront cost for the corresponding service option.
Method And System To Mediate Selection Of Choice Presentation Models
- Mountain View CA, US Bin Pan - Belmont CA, US Tong (Bruce) Yang - Mountain View CA, US
Assignee:
LinkedIn Corporation - Mountain View CA
International Classification:
G06Q 30/02
US Classification:
705 1443
Abstract:
A method and system to mediate selection of choice presentation models are described. A models mediator, implemented using software, hardware or both, may be configured to exercise different choice presentation models, collect and analyze information with respect to how well each model performed in succeeding to convince a respective user to purchase one of the presented subscription plans, and determine how frequently each model should be used to generate a presentation of subscription choices.
Uc Berkeley Dec 2004 - Aug 2006
Postdoctoral Fellow
Xi'an Jiaotong University Sep 1998 - Jul 2001
Medical Resident
Medical College of Wisconsin Sep 1998 - Jul 2001
Associate Professor
Education:
Xi'an Jiaotong University 2004
Doctorates, Doctor of Philosophy, Physiology
Xi'an Jiaotong University 2001
Doctor of Medicine, Doctorates, Medicine
Skills:
Neuroscience Western Blotting Immunohistochemistry Cell Biology Confocal Microscopy Fluorescence Microscopy In Vivo Electrophysiology Slice Electrophysiology Sharp Electrode Intracellular Electrophysiology