Surojit Chatterjee - Fremont CA, US Anshul Kothari - Sunnyvale CA, US Chen Chen - Sunnyvale CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
H04M 15/00
US Classification:
37911405, 37920101, 4554141, 709217
Abstract:
Various methods, systems, and computer program products are disclosed for controlling a number of calls based on promotional message impressions. The method may include receiving a request to communicate at least one promotional message, wherein the at least one promotional message is associated with one or more phone numbers. The method may include communicating the at least one promotional message and the one or more phone numbers. The method may include receiving one or more calls associated with the at least one promotional message. The method may include determining a call through rate for the at least one promotional message based on the one or more calls. The method may include determining a number of impressions of the at least one promotional message based on the determined call through rate.
Displaying Phone Number On The Landing Page Based On Keywords
Surojit Chatterjee - Fremont CA, US Anshul Kothari - Sunnyvale CA, US Chen Chen - Sunnyvale CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
H04M 11/00
US Classification:
379 9317, 379 9001, 705 1455
Abstract:
Various methods, systems, and computer program products are disclosed for determining promotional messages that led to a phone call. The method may include communicating a promotional message, wherein the promotional message is associated with a phone number. The method may include receiving an indication that the promotional message was selected. The method may include receiving a phone call via the phone number, the phone call indicating the phone number that was called. The method may include associating the phone call with the promotional message based on the phone number. The method may include determining that the communicated promotional message led to the phone call based on the associated phone call and promotional message.
Surojit Chatterjee - Fremont CA, US Chen Chen - Sunnyvale CA, US Jian Zhou - Milpitas CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06Q 30/02
US Classification:
705 1442, 37911206, 705 1441
Abstract:
This specification relates to tracking phone calls related to online content items. In general, one aspect of the subject matter described in this specification can be embodied in methods that include the actions of determining a probability that a call to a phone number resulted from a first interaction of a set of interactions. In general, another aspect of the subject matter described in this specification can be embodied in methods that include the actions of determining a rank score for an online content item, including for each call of a plurality of phone calls to the phone number, attributing the call to an online content interaction of a set of online content interactions; determining, using the rank score, whether to provide the online content item to a client device; and providing the online content item to the client device upon determining to do so using the rank score.
Augmentation Of Global Navigation Satellite System Based Data
- Santa Clara CA, US Gregory William Coombe - Mountain View CA, US Di Zeng - Sunnyvale CA, US Jeff Adachi - El Cerrito CA, US Chen Chen - San Jose CA, US
A vehicle computing system validates location data received from a Global Navigation Satellite System receiver with other sensor data. In one embodiment, the system calculates velocities with the location data and the other sensor data. The system generates a probabilistic model for velocity with a velocity calculated with location data and variance associated with the location data. The system determines a confidence score by applying the probabilistic model to one or more of the velocities calculated with other sensor data. In another embodiment, the system implements a machine learning model that considers features extracted from the sensor data. The system generates a feature vector for the location data and determines a confidence score for the location data by applying the machine learning model to the feature vector. Based on the confidence score, the system can validate the location data. The validated location data is useful for navigation and map updates.
In one embodiment, a method includes receiving from a client computing device a request to upload a multimedia file from the client computing device to a service. The method includes identifying transcoding servers configured to receive and transcode multimedia files from client computing devices and store the transcoded multimedia files. The method includes sending a reply to the client computing device that includes job configuration information that includes an access token authorizing the client computing device to access the transcoding servers. The information specifies upload policies that include failover instructions for if a failure occurs during an upload from the client computing device to a first of the transcoding servers. The failover instructions include sending the access token to the first of the transcoding servers to resume the upload or sending the access token to a second of the transcoding servers to restart the upload.
Validation Of Global Navigation Satellite System Location Data With Other Sensor Data
- Palo Alto CA, US Jeff Adachi - El Cerrito CA, US Chen Chen - San Jose CA, US Gregory William Coombe - Mountain View CA, US Di Zeng - Sunnyvale CA, US
A vehicle computing system validates location data received from a Global Navigation Satellite System receiver with other sensor data. In one embodiment, the system calculates velocities with the location data and the other sensor data. The system generates a probabilistic model for velocity with a velocity calculated with location data and variance associated with the location data. The system determines a confidence score by applying the probabilistic model to one or more of the velocities calculated with other sensor data. In another embodiment, the system implements a machine learning model that considers features extracted from the sensor data. The system generates a feature vector for the location data and determines a confidence score for the location data by applying the machine learning model to the feature vector. Based on the confidence score, the system can validate the location data. The validated location data is useful for navigation and map updates.
System And Methods For Managing Communications Events
An example communications routing system includes a prediction engine to, for each user account, generate a predicted cost of communications events using a gamma-gamma cost model, generate a predicted revenue of presented advertisements using a gamma-gamma revenue model, generate a margin based on the predicted cost and the predicted revenue, and, when the margin for a given user account is below a margin threshold, restrict a status associated with the given user account.
Method, Apparatus, Server And System For Real-Time Vital Sign Detection And Monitoring
- Greenbelt MD, US Chen CHEN - Burlingame CA, US Qinyi Xu - College Park MD, US Beibei Wang - Clarksville MD, US Chenshu Wu - Greenbelt MD, US Hangfang Zhang - Greenbelt MD, US Chau-Wai Wong - Raleigh NC, US David N. Claffey - Somerville MA, US Chun-I Chen - Brookeville MD, US Hung-Quoc Duc Lai - Parkville MD, US Min Wu - Clarksville MD, US Yi Han - Ellicott City MD, US Oscar Chi-Lim Au - San Jose CA, US
Assignee:
ORIGIN WIRELESS, INC. - Greenbelt MD
International Classification:
G01S 5/06 G01S 5/02
Abstract:
Methods, apparatus and systems for detecting and monitoring vital signs in real time are disclosed. In one example, a system for monitoring a repeating motion in a venue is disclosed. The system comprises a transmitter, a receiver, and a repeating motion monitor. The transmitter is located at a first position in the venue and configured for transmitting a wireless signal through a wireless multipath channel impacted by the repeating motion of an object in the venue. The receiver is located at a second position in the venue and configured for: receiving the wireless signal through the wireless multipath channel impacted by the repeating motion of the object in the venue, and obtaining a time series of channel information (CI) of the wireless multipath channel based on the wireless signal. The repeating motion monitor is configured for: monitoring a periodic characteristics of the repeating motion of the object based on the time series of CI.
The newly formed team includes Matthew Pavao, Heidi Erlacher, and Chen Chen, all of whom previously held partner roles at Cooley and bring decades of collective experience in life sciences patent law. Fenwick said the move strengthens its focus on the Boston regions intersection of biotech innovatiChen Chen, a Harvard Ph.D. in chemistry, with an undergraduate degree from the University of Science and Technology of China, focuses on global IP strategy for life sciences clients. Fluent in Mandarin, Chen plays a key role in cross-border patent transactions, particularly involving China.
Date: Apr 14, 2025
Category: Your local news
Source: Google
A week of events in Cambridge and Somerville including Nice, A Fest, and Northbeast poetry
The events title references Beins 2023 chapbook Character Flaws and is the launching pad for this educator-turned-climate-activists depressingly fun, ridiculously serious afternoon of poetry and conversation. Poets Lulu Liu, Lora Keller and Chen Chen will also read. Information is here.
Date: Jul 18, 2024
Category: Your local news
Source: Google
Top Fund Says China Junk Bond Yield Premiums to Rise on Defaults
The government may allow debt non-payments in an orderly way, Yang Qingding and Chen Chen, fund managers at Soochow Asset Management Co., said in an e-mail interview. Their Soochow Dingli Bond Fund has returned 16.5 percent in the past year, ranked No. 1 among all note funds tracked by research fi
Date: Jun 03, 2016
Category: World
Source: Google
Reddit launches official apps for Android and iPhone
nce things quieted down in the fall, Reddit decided to put resources toward creating new mobile apps of its own. After hiring Alex Le to become vice president of consumer product, Reddit brought on Chen Chen from Instagram to become its lead iOS engineer. The two, alongside a small internal team at
The popular Tamil festival Pongal goes on from January 14 to 17. Grand celebrations are held in many universities. Chen Chen and his girl friend Zhang Qian, an MBA student, also joined the grand college celebrations with other Indian students.
Date: May 12, 2013
Category: World
Source: Google
Googleplus
Chen Chen
Work:
PricewaterhouseCoopers KPMG Ernst & Young Deloitte Touche Tohmatsu
Education:
Northern State University - Business, Shanhai institute of foreign trade - Business
Tagline:
Shrek!
Chen Chen
Education:
Virginia Polytechnic Institute and State University - Chemical Engineering, Tsinghua University - Polymer Materials and Engineering
Chen Chen
Education:
Fudan University - Computer Science, University of Waterloo - Computer Science
Chen Chen
Work:
Unemployed (2012)
About:
N.A.I'm Lazy as my bio does.
Tagline:
The Ultimate Redemption
Bragging Rights:
åµåµ
Chen Chen
Work:
MADRID
Education:
UNIVERSIDAD DE SALAMANCA
Chen Chen
Work:
Nangjing University - Student (2009)
Chen Chen
Education:
Imperial College London - Mathematics, Bellerbys College
Chen Chen
Education:
University of Sussex - International Marketing, Raffles college, Changchun University - Business Administration