Selective sharing of user information based on contextual relationship information, such as to crowd-source gifts of interest to recipient

Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace or market to collaborate amongst the other users (e.g., to crowd-source gifts of interest to the recipient). Contextual disclosure may be ba...

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Main Authors PHEGADE VINAY, LEMAY MICHAEL, BEZAITIS MARIA, WOUHAYBI RITA H, ROBINSON SCOTT H, BECKWITH RICHARD T, COPPERNOLL TIMOTHY G, SIA JOSE K JR
Format Patent
LanguageEnglish
Published 13.01.2016
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Abstract Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace or market to collaborate amongst the other users (e.g., to crowd-source gifts of interest to the recipient). Contextual disclosure may be based on common context or commonality under a set of conditions, such as a topic, which may include known topics of relationships amongst the users and/or undiscovered contexts. As an example, items of interest to each user are identified and clustered, keywords are assigned to the clusters indicative of topics/subjects of interests to the respective users, recipient keywords are compared to keywords of an invitee to identify common keywords as shared interests, and items of interest to the recipient that relate to the common keywords are disclosed to the invitee as a personalized wish-list. Keyword weighting and/or keyword/item level privacy designations may be provided to further control disclosure.
AbstractList Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace or market to collaborate amongst the other users (e.g., to crowd-source gifts of interest to the recipient). Contextual disclosure may be based on common context or commonality under a set of conditions, such as a topic, which may include known topics of relationships amongst the users and/or undiscovered contexts. As an example, items of interest to each user are identified and clustered, keywords are assigned to the clusters indicative of topics/subjects of interests to the respective users, recipient keywords are compared to keywords of an invitee to identify common keywords as shared interests, and items of interest to the recipient that relate to the common keywords are disclosed to the invitee as a personalized wish-list. Keyword weighting and/or keyword/item level privacy designations may be provided to further control disclosure.
Author SIA JOSE K JR
BECKWITH RICHARD T
PHEGADE VINAY
LEMAY MICHAEL
WOUHAYBI RITA H
ROBINSON SCOTT H
COPPERNOLL TIMOTHY G
BEZAITIS MARIA
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Snippet Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace...
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SubjectTerms CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
Title Selective sharing of user information based on contextual relationship information, such as to crowd-source gifts of interest to recipient
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