Fox Broadcasting Company Mar 2018 - Mar 2019
Director, Talent Relations
Fx Networks (Fox) Dec 2014 - Dec 2015
Director, Talent Relations
Fox Broadcasting Company Jun 2010 - Nov 2014
Manager, Talent Relations
Nickelodeon Jan 2009 - Apr 2010
Freelance Coordinator, Communications
Disney Jan 2009 - Apr 2010
Talent Relations, Awards, Events
Education:
University of California, Los Angeles 2009 - 2009
University of California, Los Angeles 2006 - 2009
Bachelors, Bachelor of Arts, Communication, Communication Studies
Entertainment and Media Management Institute
Skills:
Social Media Corporate Communications Public Relations Television Talent Management Entertainment Film Management Social Networking Marketing Digital Media Press Releases New Media Publicity Social Media Marketing Facebook Integrated Marketing Microsoft Office Event Planning Community Outreach Event Management
Yoshiyuki Inagaki - Sunnyvale CA, US Narayanan Sadagopan - Sunnyvale CA, US Georges-Eric Albert Marie Robert Dupret - Mountain View CA, US Ciya Liao - Fremont CA, US Anlei Dong - Fremont CA, US Yi Chang - Santa Clara CA, US Zhaohui Zheng - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707722, 707725, 707727
Abstract:
In one embodiment, access one or more query-resource pairs, wherein for each one of the query-resource pairs comprising one of one or more search queries and one of one or more network resources, the one search query is recency-sensitive with respect to a particular time period, and the one network resource is identified for the one search query, and a resource-view count and a resource-click count associated with each one of the query-resource pairs; and construct one or more first click features using the resource-view counts and the resource-click counts associated with the query-resource pairs. To construct one of the first click features in connection with one of the query-resource pairs comprises determine a only-resource-click count associated with the one query-resource pair; and calculate a ratio between the only-resource-click count and the resource-view count associated with the one query-resource pair as the one first click feature.
Narayanan Sadagopan - Sunnyvale CA, US Yoshiyuki Inagaki - Sunnyvale CA, US Georges-Eric Albert Marie Robert Dupret - Mountain View CA, US Ciya Liao - Fremont CA, US Anlei Dong - Fremont CA, US Yi Chang - Santa Clara CA, US Zhaohui Zheng - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707705, 707722, 707726, 707727
Abstract:
In one embodiment, access one or more query chains, wherein each one of the query chains comprises two or more search queries, {q,. . . , q}, which are recency-sensitive, are related to the same subject matter, and are issued to a search engine sequentially, and actual click-through information associated with each one of the query chains; and smooth each one of the query chains using the actual click-through information associated with the query chain. To smooth one of the query chains comprises, for each one of search queries, q, in the query chain, where 2≦j≦n, if one of the network resources identified for qhas actually been clicked in connection with qby the corresponding one network user, then presume that the one network resource has been clicked in connection with one or more search queries, q, in the query chain, where 1≦k
Cross-Market Model Adaptation With Pairwise Preference Data
Yi Chang - Santa Clara CA, US Zhaohui Zheng - Mountain View CA, US Fernando David Diaz - San Francisco CA, US Jing Bai - Mountain View CA, US
Assignee:
Yahoo! Inc. - Sunnyvale CA
International Classification:
G06F 7/00 G06F 17/30
US Classification:
707728, 707705
Abstract:
Embodiments are directed towards generating market-specific ranking models by leveraging target market specific pairwise preference data. The pairwise preference data includes market-specific training examples, while a ranking model from another market captures the common characteristics of the resulting ranking model. In one embodiment, the ranking model is trained by applying a Tree Based Ranking Function Adaptation (TRADA) algorithm to multi-grade labeled training data, such as editorially generated training data. Then, contradictions between the TRADA generated ranking model and target-market specific pairwise preference data are identified. For each identified contradiction, new training data is generated to correct the contradiction. Then, in one embodiment, an algorithm such as TRADA is applied to the existing ranking model and the new training data to generate a new ranking model.
JAMES PARR - SAN JUAN CAPISTRANO CA, US ZIMING SUN - FOUNTAIN VALLEY CA, US YI HSIN CHANG - SANTA ANA CA, US UYEN UYEN HO - GARDEN GROVE CA, US DARCY GEORGE - COTO DE CAZA CA, US
International Classification:
A61K009/14
US Classification:
424/489000, 424/400000
Abstract:
A composition including (a) about 2 to about 25 wt % of L-ascorbic acid, (b) about 0.1 to about 10 wt % of at least one selected form the group consisting of cationic polymers and cationic surfactants, and (c) about 0.1 to about 70 wt % of at least one selected from the group consisting of humectants, polymers with humectant properties, and inorganic driers. The ratio of ingredient (a) to ingredient (b) is about 1:1 to about 50:1. The composition is stable when stored at room temperature for a period of at least ten weeks.
James Parr - San Juan Capistrano CA, US Ziming Sun - Fountain Valley CA, US Yi Hsin Chang - Santa Ana CA, US Uyen Uyen Ho - Garden Grove CA, US Darcy George - Coto De Caza CA, US
Assignee:
AMITEE COSMETICS, INC.
International Classification:
A61K031/375 A61K009/14
US Classification:
424/488000, 514/474000
Abstract:
A composition including (a) about 2 to about 25 wt % of L-ascorbic acid, (b) about 0.1 to about 10 wt % of at least one selected form the group consisting of cationic polymers and cationic surfactants, and (c) about 0.1 to about 70 wt % of at least one selected from the group consisting of humectants, polymers with humectant properties, and inorganic driers. The ratio of ingredient (a) to ingredient (b) is about 1:1 to about 50:1. The composition is stable when stored at room temperature for a period of at least ten weeks.
Jim Taneri - Flemington NJ, US Yi Chang - Costa Mesa CA, US Rafael Akyuz - Palos Verdes Estates CA, US Susan Goldsberry - Huntington Beach CA, US
International Classification:
A61K 8/89
US Classification:
424070120
Abstract:
A method of preparing a body surface for epilation is provided. The method includes, prior to said epilation, applying to the body surface a composition that is adapted to leave a powder residue on the body surface. The composition includes a fluid vehicle Compositions of the present invention may include an insoluble solid, a fluid vehicle, and an analgesic.
Jim Taneri - Flemington NJ, US Yi Chang - Costa Mesa CA, US Rafael Akyuz - Palos Verdes Estates CA, US Susan Goldsberry - Huntington Beach CA, US
International Classification:
A61K 8/19
US Classification:
424073000
Abstract:
A method of preparing a body surface for epilation is provided. The method includes, prior to said epilation, applying to the body surface a composition that is adapted to leave a powder residue on the body surface. The composition includes a fluid vehicle Compositions of the present invention may include an insoluble solid, a fluid vehicle, and an analgesic.
Web Service Architecture For Dynamic Rules Table Generation
Jonathan Fan - San Mateo CA, US Yi Chang - Sunnyvale CA, US
Assignee:
ORACLE INTERNATIONAL CORPORATION - REDWOOD SHORES CA
International Classification:
G06F 15/16
US Classification:
709219
Abstract:
Various systems and methods for providing access to a dynamically generated rules table as a Web Service are disclosed. One method involves receiving a Web Service request from a requester and then dynamically generating a rules table, in response to receipt of the Web Service request. Dynamically generating the rules table includes accessing one or more matrices that store information associated with multiple different rules tables. For example, dynamic generation of the rules table can involve accessing a dimension matrix that stores information identifying one or more input criteria and one or more results included in the rules table, selecting information from a rules matrix based upon the criteria and results identified by the dimension matrix, and then storing the selected information from the rules matrix in the rules table.
All About Children Pediatrics 12200 Middle Set Rd STE 100, Eden Prairie, MN 55344 9529438200 (phone), 9529438206 (fax)
Education:
Medical School University of Texas Medical Branch at Galveston Graduated: 2009
Languages:
English
Description:
Dr. Chang graduated from the University of Texas Medical Branch at Galveston in 2009. She works in Eden Prairie, MN and specializes in Pediatrics and Adolescent Medicine. Dr. Chang is affiliated with Abbott Northwestern Hospital, Childrens Hospitals & Clinics Of Minnesota and Fairview Southdale Hospital.