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Jiliang Liang Chang, 62167 Overbrook, Irvine, CA 92620

Jiliang Chang Phones & Addresses

167 Overbrook, Irvine, CA 92620   

Mission Viejo, CA   

San Diego, CA   

7927 Sandalfoot Dr, Potomac, MD 20854   

10317 Crown Point Ct, Potomac, MD 20854   

Rockville, MD   

McLean, VA   

Sterling, VA   

Lowell, MA   

Mentions for Jiliang Liang Chang

Publications & IP owners

Us Patents

Systems And Methods For Contextual Analysis And Segmentation Of Information Objects

US Patent:
2013008, Mar 28, 2013
Filed:
Sep 23, 2011
Appl. No.:
13/241834
Inventors:
Pero SUBASIC - Mountain View CA, US
Kenin COLOMA - Sunnyvale CA, US
Guoying ZHANG - Fairfax VA, US
Jiliang CHANG - Potomac MD, US
Manu SHUKLA - Sterling VA, US
International Classification:
G06F 17/30
US Classification:
707741, 707E17002
Abstract:
Systems and methods are disclosed for contextual analysis and segmentation of information objects. In accordance with one implementation, information objects, such as web pages and user profiles, may be processed to obtain a list of key terms. An index may be created containing each of the information objects and associated key terms. Information objects may then be matched to contextual segments (i.e., categories of information objects) by submitting terms associated with the contextual segments against the index. Further, thresholding may be applied, so that only the most relevant information objects for a contextual segment are assigned to the contextual segment.

Systems And Methods For Contextual Analysis And Segmentation Using Dynamically-Derived Topics

US Patent:
2013008, Mar 28, 2013
Filed:
Sep 23, 2011
Appl. No.:
13/241856
Inventors:
Pero Subasic - Mountain View CA, US
Kenin Coloma - Sunnyvale CA, US
Guoying Zhang - Fairfax VA, US
Jiliang Chang - Potomac MD, US
Manu Shukla - Sterling VA, US
International Classification:
G06F 17/30
US Classification:
707737, 707E17046
Abstract:
Systems and methods are disclosed for contextual analysis and segmentation of information objects. According to one implementation, information objects, such as web pages and user profiles, may be analyzed to identify key terms. These key terms may be included in a contextual representation of an information object. By comparing the contextual representations of a plurality of information objects, one or more contextual segments (i.e., categories of information objects) may be created. Each contextual segment may also be associated with its own contextual representation. Once a contextual segment has been created, information objects may be assigned to the contextual segment. These contextual segments may be used to deliver targeted advertising, for example.

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