Jump to content

18180793. AUTOMATED PROCEDURE GENERATION AND RECOMMENDATION simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

From WikiPatents

AUTOMATED PROCEDURE GENERATION AND RECOMMENDATION

Organization Name

INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor(s)

Xiao Xuan Fu of Wuhan (CN)

Jiang Yi Liu of Beijing (CN)

Wen Qi WQ Ye of Beijing (CN)

Si Yu Chen of Beijing (CN)

Min Cheng of Beijing (CN)

AUTOMATED PROCEDURE GENERATION AND RECOMMENDATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 18180793 titled 'AUTOMATED PROCEDURE GENERATION AND RECOMMENDATION

Simplified Explanation: The patent application discusses the generation and recommendation of automatic processes based on user input and prior behavior analysis.

Key Features and Innovation:

  • Real-time extraction of features from user input
  • Prediction of user-intended actions based on prior behavior matching
  • Generation of processor-executable actions corresponding to prior behavior

Potential Applications: This technology can be applied in various fields such as personalized recommendations, automated workflows, and predictive analytics.

Problems Solved: This technology addresses the need for efficient process automation, personalized user experiences, and predictive modeling based on historical data.

Benefits:

  • Improved user experience through personalized recommendations
  • Increased efficiency through automated process generation
  • Enhanced decision-making through predictive analytics

Commercial Applications: Potential commercial applications include personalized marketing strategies, workflow automation tools, and predictive maintenance systems in various industries.

Prior Art: Readers can explore prior art related to this technology in the fields of machine learning, artificial intelligence, and process automation.

Frequently Updated Research: Stay updated on the latest research in machine learning algorithms, user behavior analysis, and process automation technologies relevant to this innovation.

Questions about Automatic Process Generation and Recommendation: 1. How does this technology improve user experience through personalized recommendations? 2. What are the potential commercial applications of automated process generation and recommendation systems?


Original Abstract Submitted

Automatic process generation and recommendation can include extracting, in real time, features from user input to a computer. The features extracted can be compared with recorded features corresponding to a prior behavior. A user-intended action can be predicted in response to a match between the features extracted and the features corresponding to the prior behavior. A sequence of processor-executable actions corresponding to the prior behavior can be generated.