Abstract: The disclosure relates to sequencing of asset segments of privacy policies. The asset segments are sequenced based on a set of constraints. In an embodiment the asset segments are sequenced using a set of pre-defined predecessors and a set of pre-defined successors of each asset segment through a feasible sequence generation technique and a sequence generation technique based on the constraints, wherein the constraints are preferences associated with the source entity and the target entity. Hence the disclosure bridges a communication gap between the source entity and the target entity by optimally displaying the most relevant privacy policy (mapped to the asset segments) based on the constraints associated with the source entity and the target entity. Further the disclosed system also determines a violation factor that represents a conflict between the preferences associated with the source entity and the target entity.

Abstract: The disclosure relates to a method and a system for sequencing asset segments of privacy policy using optimization techniques. The asset segments are sequenced based on several constraints associated with preferences of a source entity and a target entity. Further the disclosure also determines a target entity violation factor that represents a conflict between the preferences associated with the source entity and the target entity. In an embodiment the disclosed method and system optimally sequences the plurality of asset segments using several optimization techniques that include a basic sequence generation technique, a source entity sequence optimizing technique and a target entity sequence optimizing technique considering constraints. Hence the disclosure bridges a communication gap between several stakeholders by optimally displaying the most relevant privacy policy (mapped to the asset segments) considering the constraints or preferences associated with both the source entity and the target entity.

Abstract: The disclosure relates to a method and a system for sequencing asset segments of privacy policy using optimization techniques. The asset segments are sequenced based on several constraints associated with preferences of a source entity and a target entity. Further the disclosure also determines a target entity violation factor that represents a conflict between the preferences associated with the source entity and the target entity. In an embodiment the disclosed method and system optimally sequences the plurality of asset segments using several optimization techniques that include a basic sequence generation technique, a source entity sequence optimizing technique and a target entity sequence optimizing technique considering constraints. Hence the disclosure bridges a communication gap between several stakeholders by optimally displaying the most relevant privacy policy (mapped to the asset segments) considering the constraints or preferences associated with both the source entity and the target entity.

Abstract: The disclosure relates to sequencing of asset segments of privacy policies. The asset segments are sequenced based on a set of constraints. In an embodiment the asset segments are sequenced using a set of pre-defined predecessors and a set of pre-defined successors of each asset segment through a feasible sequence generation technique and a sequence generation technique based on the constraints, wherein the constraints are preferences associated with the source entity and the target entity. Hence the disclosure bridges a communication gap between the source entity and the target entity by optimally displaying the most relevant privacy policy (mapped to the asset segments) based on the constraints associated with the source entity and the target entity. Further the disclosed system also determines a violation factor that represents a conflict between the preferences associated with the source entity and the target entity.

Abstract: This disclosure relates generally to automatic conversion of text-based privacy policy (PP) to video format. Typically, the PP are cognitively loaded with the content and hence difficult to read and understand. The disclosed method and system facilitate in automatic conversion of text-based PP to video format. Said video formats may incorporated in animated forms for ease of understanding of the user. The disclosed system identifies segments from target PP and maps them to template PP segments stored in a template repository. The template PP segments selected from the template repository are mapped to short video templates or snippets stored in a video repository to identify video templates representative of the selected template segments. The selected video templates are sequenced in an optimal manner considering preferences and dependencies to obtain the portions of or complete target PP.

Abstract: This disclosure relates generally to automatic conversion of text-based privacy policy (PP) to video format. Typically, the PP are cognitively loaded with the content and hence difficult to read and understand. The disclosed method and system facilitate in automatic conversion of text-based PP to video format. Said video formats may incorporated in animated forms for ease of understanding of the user. The disclosed system identifies segments from target PP and maps them to template PP segments stored in a template repository. The template PP segments selected from the template repository are mapped to short video templates or snippets stored in a video repository to identify video templates representative of the selected template segments. The selected video templates are sequenced in an optimal manner considering preferences and dependencies to obtain the portions of or complete target PP.