User specific plan generation method and system
AssigneeTata Consultancy Services Limited
InventorsPlaban Kumar Bhowmick, Debnath Mukherjee, Prateep Misra
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Abstract
The present invention envisages a personalized plan generation system and a method that satisfies maximum user preferences and constraints; besides including a number of enabling features like of plan repair or revision with dynamically changing situations or contextual information. Moreover, the system is able to perform a collaborative planning by opinion mining in social networks to achieve better optimization. Significantly, the explanation for the selection of plan steps or a change in plan altogether can be expressed in natural language.
Claims28
A computer-implemented method of generating an optimal personalized plan executed on a planning server in collaboration with a user preference modeling system over a communicating network, the method comprising:
- receiving by a server computing system, at least one user-defined task and associated subtasks;
- extracting dynamic context information and a plurality of control points relevant to the task wherein, each of the control points indicates an optimal state;
- generating a primary optimal plan complying with the task, the context information each of the control points, the plan including a plurality of intermediate states to achieve a goal state;
- and
- iteratively performing a backtracking operation from the goal state to the currently executing intermediate state to identify a deviating intermediate state from the optimal state for ensuing generation of a secondary optimal plan from the identified deviated intermediate state.
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A computer-implemented method of generating an optimal personalized plan on a planning server in collaboration with a user preference modeling system over a communicating network and communicatively linked to a social platform, the method comprising:
- receiving by a server computing system, at least one user-defined task and associated subtasks;
- extracting dynamic context information and a plurality of control points relevant to the task and the context information, each of the control point indicates an optimal state;
- generating a primary optimal plan state complying with the task, the context information and each of the control point, the plan including a plurality of intermediate states to achieve a goal state;
- determining a next plan state by a process of opinion mining, opinion mining further comprising:
- aggregating one or more opinion of multiple entities located at different sources or networks along with the subtasks contained in one or more category of the user preference modeling system,
- assigning an updated score to each of the aggregated opinion for prioritizing in accordance with a predetermined category score;
- and
- selecting the highest updated scored opinion thereof wherein the said updated scored opinion is derived by a combination of the entity opinion score and the category score;
- and
- iteratively performing a backtracking operation from the goal state to the currently executing intermediate state to identify a deviating intermediate state from the optimal state for ensuing generation of a secondary optimal plan state there from the deviated intermediate state.
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An optimal personalized plan generation system implemented on a planning server, the system comprising:
- a user preference modeling system to model a user defined task and associated subtasks;
- a context processing system communicating with a plurality of sensors and an ontology store management system for extracting dynamic contextual information;
- and
- a plan execution decider system for generating a primary optimal plan in compliance to the task, the subtasks and the contextual information, wherein the decider system is configured to generate a secondary optimal plan upon an indication of deviation from the user preference modeling system or the context processing system plan or a combination thereof.
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Dependencies are inferred from the claim text.