Search

Jireh Tan Phones & Addresses

  • San Francisco, CA
  • Stanford, CA

Work

Company: Flipboard inc. Jun 2012 Address: Palo Alto, California Position: Data scientist

Education

Degree: MS School / High School: Stanford University 2011 to 2013 Specialities: Statistics

Skills

Econometrics • Macroeconomics • Economics • Statistics • Quantitative Analytics • Policy Analysis • Public Policy • Qualitative Research • Data Analysis • Data Mining • Database Queries • Hive • R • Predictive Modeling • Analysis • Python • Java • Research • Sql • Machine Learning • Analytics • Mysql • Javascript

Languages

French • Mandarin • German

Industries

Internet

Resumes

Resumes

Jireh Tan Photo 1

Statistician And Data Scientist

View page
Location:
Berkeley, CA
Industry:
Internet
Work:
Flipboard Inc. - Palo Alto, California since Jun 2012
Data Scientist

MAS - Singapore, Singapore Jun 2010 - Oct 2011
Policy Analyst

MAS - Singapore, Singapore Jun 2009 - Sep 2009
Summer Associate

International Labour Organization (ILO) - Geneva, Switzerland Jun 2008 - Sep 2008
Summer Intern
Education:
Stanford University 2011 - 2013
MS, Statistics
Stanford University 2007 - 2010
BA, Economics
Skills:
Econometrics
Macroeconomics
Economics
Statistics
Quantitative Analytics
Policy Analysis
Public Policy
Qualitative Research
Data Analysis
Data Mining
Database Queries
Hive
R
Predictive Modeling
Analysis
Python
Java
Research
Sql
Machine Learning
Analytics
Mysql
Javascript
Languages:
French
Mandarin
German

Publications

Us Patents

Searching For Ideograms In An Online Social Network

View page
US Patent:
20170300586, Oct 19, 2017
Filed:
Jul 5, 2017
Appl. No.:
15/642166
Inventors:
- Menlo Park CA, US
Stephen Moore Davis - San Francisco CA, US
Nikola Vilimonovic - San Francisco CA, US
Jireh Yiwei Tan - San Francisco CA, US
Aaron Payne Goldsmid - San Francisco CA, US
International Classification:
G06F 17/30
G06F 17/30
Abstract:
In one embodiment, a method includes receiving a first query inputted by a first user at a first client system, the first query including one or more n-grams; identifying ideograms, each ideogram being associated with one or more tags, each identified ideogram being associated with at least one tag matching at least one of the n-grams of the received first query; calculating, for each identified ideogram, a use-probability for the ideogram given the received first query, wherein the use-probability is based at least in part on a frequency of use associated with the ideogram; and sending, to the first client system, instructions for presenting a first set of ideograms comprising one or more of the identified ideograms, the first set being determined based on the calculated use-probabilities associated with the ideograms.

Identifying Groups For A Social Networking System User Based On Group Characteristics And Likelihood Of User Interaction

View page
US Patent:
20170111448, Apr 20, 2017
Filed:
Dec 30, 2016
Appl. No.:
15/395846
Inventors:
- Menlo Park CA, US
David Ferguson - El Dorado Hills CA, US
Jun Sun - Saratoga CA, US
Jireh Yiwei Tan - San Francisco CA, US
Bradley Ray Green - Snohomish WA, US
Kyle Philip Meyer - San Francisco CA, US
Xun Gong - Santa Clara CA, US
Pooja Jain - San Francisco CA, US
International Classification:
H04L 29/08
H04W 4/20
H04W 4/08
Abstract:
A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system determining scores for various groups representing a likelihood of the user interacting with the groups. When determining a score for a group, the social networking system accounts for a likelihood of the user providing content to the group as well as the user accessing or viewing content associated with the group. Based on the scores, one or more groups are selected and presented to the user. Additionally, the social networking system may apply one or more diversity rules so that the selected groups have a variety of characteristics.

Identifying Groups For Recommendation To A Social Networking System User Based On User Location And Locations Associated With Groups

View page
US Patent:
20160378776, Dec 29, 2016
Filed:
Jun 25, 2015
Appl. No.:
14/750509
Inventors:
- Menlo Park CA, US
Li Ju - Issaquah WA, US
Jireh Tan - San Francisco CA, US
Chen Wang - Redmond WA, US
Yi Miao - Redmond WA, US
International Classification:
G06F 17/30
H04L 29/08
Abstract:
A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system identifies candidate groups and selects the set of groups from the candidate groups. To identify certain candidate groups, the social networking system determines a location associated with various groups based on locations associated with users included in the group. For example, the social networking system determines a centroid of a group based on locations associated with users included in the group and associates the centroid with the group if at least a threshold percentage of distances between locations associated with users included in the group and the centroid do not exceed a threshold distance. Groups associated with locations within a threshold distance of a location associated with the user are identified as candidate groups.

Searching For Ideograms In An Online Social Network

View page
US Patent:
20160179967, Jun 23, 2016
Filed:
Dec 19, 2014
Appl. No.:
14/576926
Inventors:
- Menlo Park CA, US
Stephen Moore Davis - San Francisco CA, US
Nikola Vilimonovic - San Francisco CA, US
Jireh Yiwei Tan - San Francisco CA, US
Aaron Payne Goldsmid - San Francisco CA, US
International Classification:
G06F 17/30
Abstract:
In one embodiment, a method includes receiving a query inputted at a mobile device of a user of an online social network. The query may include n-grams (e.g., words, emoticons, and punctuation marks), and may be, for example, a message to another user or search terms. N-grams may be mapped to tags, which may, in turn, be mapped to ideograms (i.e., stickers). One or more ideograms may be identified based on the one or more ideogram being associated with tags matching n-grams of the query. For each of the identified ideograms, a probability quantifying how likely the user is to select the ideogram is calculated based on how frequently the ideogram has been used. A set of ideogram suggestions, including one or more of the identified ideograms, is generated based on the probabilities and sent to the user's mobile device for display to the user.

Identifying Groups For A Social Networking System User Based On Likelihoods Of The User Interacting With Various Groups

View page
US Patent:
20160134576, May 12, 2016
Filed:
Nov 6, 2014
Appl. No.:
14/535265
Inventors:
- Menlo Park CA, US
David Ferguson - El Dorado Hills CA, US
Jun Sun - Saratoga CA, US
Jireh Yiwei Tan - San Francisco CA, US
Bradley Ray Green - Snohomish WA, US
International Classification:
H04L 12/58
G06Q 50/00
Abstract:
A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system determining scores for various groups representing a likelihood of the user interacting with the groups. When determining a score for a group, the social networking system accounts for a likelihood of the user providing content to the group as well as the user accessing or viewing content associated with the group. Based on the scores, one or more groups are selected and presented to the user. Additionally, the social networking system may apply one or more diversity rules so that the selected groups have a variety of characteristics.

Identifying Groups For A Social Networking System User Based On Group Characteristics And Likelihood Of User Interaction

View page
US Patent:
20160134692, May 12, 2016
Filed:
Nov 10, 2014
Appl. No.:
14/537885
Inventors:
- Menlo Park CA, US
David Ferguson - El Dorado Hills CA, US
Jun Sun - Saratoga CA, US
Jireh Yiwei Tan - San Francisco CA, US
Bradley Ray Green - Snohomish WA, US
Kyle Philip Meyer - San Francisco CA, US
Xun Gong - Santa Clara CA, US
Pooja Jain - San Francisco CA, US
International Classification:
H04L 29/08
Abstract:
A social networking system selects a set of groups for presentation to a user of the social networking system. To select groups, the social networking system determining scores for various groups representing a likelihood of the user interacting with the groups. When determining a score for a group, the social networking system accounts for a likelihood of the user providing content to the group as well as the user accessing or viewing content associated with the group. Based on the scores, one or more groups are selected and presented to the user. Additionally, the social networking system may apply one or more diversity rules so that the selected groups have a variety of characteristics.
Jireh Tan from San Francisco, CA, age ~39 Get Report