17643877. BALANCE WEIGHTED VOTING simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

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BALANCE WEIGHTED VOTING

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Lei Tian of Xian (CN)

Han Zhang of Xian (CN)

Ning Zhang of Xian (CN)

Xiao Li Zhang of Xian (CN)

Yi Shao of Xian (CN)

Jing Xu of Xian (CN)

Xue Ying Zhang of Xian (CN)

BALANCE WEIGHTED VOTING - A simplified explanation of the abstract

This abstract first appeared for US patent application 17643877 titled 'BALANCE WEIGHTED VOTING

Simplified Explanation

The abstract describes a method, system, and computer for balance weighted voting in which a scoring request is received and a balanced weighting predictor is generated using a plurality of models. The balanced weighting predictor is then returned as an ensemble score for the scoring request.

  • The method involves receiving a scoring request and generating scores using multiple models.
  • The generated scores are normalized and used to calculate an evaluation-based weighting factor and a prediction-based weighting factor.
  • A balanced weighting predictor is calculated by combining the evaluation-based weighting factor and the prediction-based weighting factor.
  • The balanced weighting predictor is returned as an ensemble score for the scoring request.

Potential Applications

  • This technology can be applied in various fields where voting or scoring systems are used, such as online reviews, surveys, or decision-making processes.
  • It can be utilized in recommendation systems to provide more accurate and balanced recommendations based on multiple models.

Problems Solved

  • Traditional voting or scoring systems may not consider the different strengths and weaknesses of individual models, leading to biased or inaccurate results.
  • This technology solves the problem of imbalanced weighting by considering both evaluation-based and prediction-based factors, resulting in a more balanced and reliable ensemble score.

Benefits

  • The use of multiple models and balanced weighting improves the accuracy and reliability of the scoring system.
  • By considering both evaluation-based and prediction-based factors, the system can provide a more comprehensive and balanced assessment.
  • This technology allows for better decision-making by providing a more accurate representation of the overall sentiment or preference.


Original Abstract Submitted

A method, system, and computer for balance weighted voting. The method may comprise receiving, by a network interface, a scoring request. The method may further comprise, by a processing unit in response to the scoring request, generating a plurality of scores using a plurality of models. normalizing the plurality of scores, calculating an evaluation-based weighting factor from a first subset of the normalized scores, calculating a prediction-based based weighting factor from a second subset of the normalized scores, and calculating a balanced weighting predictor from the evaluation-based weighting factor and the prediction-based weighting factor. The method may further comprise returning, by the network interface, the balanced weighting predictor as an ensemble score for the scoring request.