Context-aware hypothesis-driven aggregation of crowd-sourced evidence for a subscription-based service
AssigneeSamsung Electronics Co., Ltd.
InventorsAbhishek Mukherji, Evan Welbourne, Emmanuel Munguia Tapia
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Abstract
A method and system for providing an answer to a subscription-based query service. The method includes acquiring context information and evidence information from one or more electronic devices based on a query. One or more belief values are assigned based on the evidence information and the context information. The belief values are aggregated for determining a score for competing hypotheses using a probabilistic model. Sufficiency of hypotheses is determined based on statistical significance for potential answer information to the query.
Claims30
A method for providing an answer to a subscription-based query service comprising:
- acquiring context information and evidence information from one or more electronic devices based on a query;
- assigning one or more belief values based on the evidence information and the context information;
- aggregating the belief values for determining a score for competing hypotheses using a probabilistic model;
- and
- determining sufficiency of hypotheses based on statistical significance for potential answer information to the query.
A system comprising:
- an evidence collector module that aggregates evidence information and context information received from one or more electronic devices and assigns one or more belief values based on the evidence information and the context information;
- a hypotheses score aggregator module that aggregates the belief values for determining a score for competing hypotheses using a probabilistic model;
- and
- a sufficiency determiner module that determines sufficiency of hypotheses based on statistical significance for potential answer information to a query based on a subscription of the one or more electronic devices.
A non-transitory computer-readable medium having instructions which when executed on a computer perform a method comprising:
- acquiring context information and evidence information from one or more electronic devices based on a query;
- assigning one or more belief values based on the evidence information, the context information, and user profile information;
- aggregating the belief values for determining a score for competing hypotheses using a probabilistic model;
- and
- determining sufficiency of hypotheses based on statistical significance for potential answer information to the query.
Dependencies are inferred from the claim text.