Weiping Weiping Peng from 775 Noe St, San Francisco, CA 94114, age 50

Resumes

Principal Software Architect

view source

Location:

San Francisco, CA

Industry:

Computer Software

Work:

Yahoo Sep 2007 - Dec 2010
Senior Developer
Salesforce Sep 2007 - Dec 2010
Principal Software Architect
Abydos Sep 2004 - Sep 2007
Senior Product Developer
Abb 2001 - 2004
System Application Analyst

Education:

The University of Texas at Austin 2000 - 2002
Master of Science, Masters Chinese Academy of Sciences 1996 - 1999
Masters, Chemistry University of California, Berkeley, Haas School of Business

Skills:

Java
Software Design
Requirements Gathering
Architecture
Operating Systems

Senior Developer At Yahoo! Inc.

view source

Location:

San Francisco Bay Area

Industry:

Computer Software

Us Patents

Advertising Exchange System To Share Online Audiences
view source
US Patent:

20110119128, May 19, 2011
Filed:

Nov 16, 2009
Appl. No.:

12/619510
Inventors:

Fang Fang - Fremont CA, US
Steven Hartman - Hermosa Beach CA, US
Tim Kaiser - Campbell CA, US
Alex Wu - San Francisco CA, US
Weiping Peng - San Jose CA, US
International Classification:

G06Q 30/00
US Classification:

705 1449
Abstract:

An online audience is targeted for advertisement delivery in an advertising exchange system. The method is performed in an advertising exchange system and may include processing a request to delivery at least one message over a network. An audience segment may be stored for a first entity. The audience segment may identify a population of visitors to one or more network locations of the first entity that form a target-group of members based on activity of the visitors at the first entity. The system may retrieve the audience segment for a second entity and the system may deliver a message from the advertising exchange system in response to the request to the target-group of members on behalf of the second entity by using the audience segment to target the target-group of members.

Systems And Methods For Creating Custom Actions
view source
US Patent:

20220245329, Aug 4, 2022
Filed:

Feb 16, 2022
Appl. No.:

17/651307
Inventors:

- San Francisco CA, US
Steven Tamm - San Francisco CA, US
Orjan N. Kjellberg - Walnut Creek CA, US
Arvind Krishnan - San Francisco CA, US
Benjamin Snyder - Royal Oak MI, US
Luke A. Ball - Berkeley CA, US
Shannon Hale - San Francisco CA, US
Khanh Kim P. Nguyen - Berkeley CA, US
William Gradin - San Francisco CA, US
Anna Bonner Mieritz - Moss Beach CA, US
Beril Guvendik Maples - Oakland CA, US
Gregg Johnson - Orinda CA, US
Andrew Waite - Novato CA, US
Evan Michael Moses - San Francisco CA, US
Weiping Peng - San Jose CA, US
Scott Peter Perket - San Francisco CA, US
International Classification:

G06F 40/143
H04W 4/21
H04W 4/60
H04L 67/10
G06Q 50/00
H04L 67/00
G06F 40/106
G06F 40/14
G06F 3/0481
G06F 3/0482
G06Q 10/00
G06F 3/04842
G06Q 30/00
H04L 67/50
Abstract:

Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with one or more data objects in an online social network. A user interface includes a publisher with a custom action. The custom action is defined in accordance with custom action instructions provided by a first entity via an application programming interface (API). Such custom action instructions may declaratively or programmatically define the data object, the interaction to be performed with the data object, and other attributes associated with the custom action. A user may request to interact with the data object via selection of the custom action by a second entity. Information may be submitted through the publisher to interact with the data object to update a database system associated with the data object. A feed item may be presented for inclusion in the information feed based on the update.

Systems And Methods For Creating Custom Actions
view source
US Patent:

20210319169, Oct 14, 2021
Filed:

Mar 5, 2021
Appl. No.:

17/249589
Inventors:

- San Francisco CA, US
Steven Tamm - San Francisco CA, US
Orjan N. Kjellberg - Walnut Creek CA, US
Arvind Krishnan - San Francisco CA, US
Benjamin Snyder - Royal Oak MI, US
Luke A. Ball - Berkeley CA, US
Shannon Hale - San Francisco CA, US
Khanh Kim P. Nguyen - Berkeley CA, US
William Gradin - San Francisco CA, US
Anna Bonner Mieritz - Moss Beach CA, US
Beril Guvendik Maples - Oakland CA, US
Gregg Johnson - Orinda CA, US
Andrew Waite - Novato CA, US
Evan Michael Moses - San Francisco CA, US
Weiping Peng - San Jose CA, US
Scott Peter Perket - San Francisco CA, US
International Classification:

G06F 40/143
H04W 4/21
H04W 4/60
H04L 29/08
G06Q 50/00
G06F 40/106
G06F 40/14
G06F 3/0481
G06F 3/0482
G06Q 10/00
G06F 3/0484
G06Q 30/00
Abstract:

Disclosed are methods, apparatus, systems, and computer readable storage media for interacting with one or more data objects in an online social network. A user interface includes a publisher with a custom action. The custom action is defined in accordance with custom action instructions provided by a first entity via an application programming interface (API). Such custom action instructions may declaratively or programmatically define the data object, the interaction to be performed with the data object, and other attributes associated with the custom action. A user may request to interact with the data object via selection of the custom action by a second entity. Information may be submitted through the publisher to interact with the data object to update a database system associated with the data object. A feed item may be presented for inclusion in the information feed based on the update.

Dynamic Field Value Recommendation Methods And Systems
view source
US Patent:

20210149933, May 20, 2021
Filed:

Apr 28, 2020
Appl. No.:

15/929364
Inventors:

- San Francisco CA, US
Weiping Peng - San Francisco CA, US
Na Cheng - Dublin CA, US
Feifei Jiang - San Mateo CA, US
Jacob Nathaniel Huffman - Oakland CA, US
Nandini Suresh Kumar - San Francisco CA, US
Khoa Le - San Francisco CA, US
Christopher Larry - San Francisco CA, US
Assignee:

salesforce.com, Inc. - San Francisco CA
International Classification:

G06F 16/31
H04L 12/58
G06F 16/34
G06F 16/35
Abstract:

Computing systems, database systems, and related methods are provided for recommending values for fields of database objects and dynamically updating a recommended value for a field of a database record in response to updated auxiliary data associated with the database record. One method involves obtaining associated conversational data, segmenting the conversational data, converting each respective segment of conversational data into a numerical representation, generating a combined numerical representation of the conversational data based on the sequence of numerical representations using an aggregation model, generating the recommended value based on the combined numerical representation of the conversational data using a prediction model associated with the field, and autopopulating the field of the case database object with the recommended value.

Secure Complete Phrase Utterance Recommendation System
view source
US Patent:

20210150144, May 20, 2021
Filed:

Nov 16, 2020
Appl. No.:

17/099083
Inventors:

- San Francisco CA, US
Weiping Peng - San Francisco CA, US
Na Cheng - San Francisco CA, US
Rick Lindstrom - San Francisco CA, US
Zachary Alexander - Snoqualmie WA, US
Assignee:

Salesforce.com, Inc. - San Francisco CA
International Classification:

G06F 40/289
G06F 16/33
G06F 16/31
G06F 16/332
Abstract:

DICTT

Response Recommendation System
view source
US Patent:

20200097544, Mar 26, 2020
Filed:

Sep 21, 2018
Appl. No.:

16/138662
Inventors:

- San Francisco CA, US
Jayesh Govindarajan - Palo Alto CA, US
Peter White - San Francisco CA, US
Weiping Peng - San Francisco CA, US
Colleen Smith - Mill Valley CA, US
Vishal Shah - Redmond CA, US
Jacob Nathaniel Huffman - Oakland CA, US
Alejandro Gabriel Perez Rodriguez - Redmond WA, US
Edgar Gerardo Velasco - San Francisco CA, US
Na Cheng - Dublin CA, US
International Classification:

G06F 17/27
G06N 3/08
G06N 3/04
Abstract:

A data processing system analyzes a corpus of conversation data received at an interactive conversation service to train a response recommendation model. The response recommendation model generates response vectors based on custom responses and using the trained model and generates a context vector based on received input at the interactive conversation service. The context vector is compared to the set of response vectors to identify a set of recommended responses, which are recommended to an agent conversing with a user using the interactive conversation service.

Extraction Of Keywords For Generating Multiple Search Queries
view source
US Patent:

20200097600, Mar 26, 2020
Filed:

Sep 24, 2018
Appl. No.:

16/140443
Inventors:

- San Francisco CA, US
Pingping XIU - San Francisco CA, US
Weiping PENG - San Francisco CA, US
Edgar Gerardo VELASCO - San Francisco CA, US
Anjan GOSWAMI - San Francisco CA, US
International Classification:

G06F 17/30
Abstract:

A method is provided for providing a final result set to a user. In some embodiments, the method includes receiving from the user an input question directed to an organization belonging to a particular category. The method includes applying a plurality of rules to the input question, at least one rule being assigned a weight dependent on the particular category to which the organization belongs. The method further includes extracting, based on applying the plurality of rules, multiple collections of keywords and generating a plurality of search queries. Each search query includes a different collection of keywords. The method also includes submitting the plurality of search queries to a database and in response, receiving multiple result sets from the database. The method further includes in response to the input question, providing a final result including a subset of documents included in the multiple result sets to the user.

Method And System For Service Agent Assistance Of Article Recommendations To A Customer In An App Session
view source
US Patent:

20200097608, Mar 26, 2020
Filed:

Sep 24, 2018
Appl. No.:

16/139386
Inventors:

- San Francisco CA, US
Sitaram ASUR - Santa Clara CA, US
Anjan GOSWAMI - Dublin CA, US
Ziwei CHEN - Stockholm, SE
Na CHENG - Dublin CA, US
Suhas SATISH - Fremont CA, US
Jacob Nathaniel HUFFMAN - Oakland CA, US
Peter Francis WHITE - San Francisco CA, US
WeiPing PENG - San Francisco CA, US
Aditya SAKHUJA - Belmont CA, US
Jayesh GOVINDARAJAN - Palo Alto CA, US
Edgar Gerardo VELASCO - San Francisco CA, US
International Classification:

G06F 17/30
G06N 5/00
H04L 29/08
Abstract:

A method and system for recommending articles including: receiving a customer request from the customer during the session; generating case data for a case, by an article recommender app; configuring a training set based on the subject and description data of the customer request; identifying, by an artificial intelligence (AI) app, a first pool of articles from a knowledge database; identifying by at least one query, a second pool of articles from a case article database to into a merged pool of articles; assigning, by the AI app, an implicit label to one of the first pool and the second pool of the articles; applying a model derived by the AI app based on customer behavior and a set of features related to the case to classify each article of the merged pool of articles based at least in part on the predicted relevance of the article.