Customized and knowledge-centric service design model integrating case-based reasoning and TRIZ
Aiming at accelerating customized innovative service design, a novel knowledge-centric
innovative service design (KISD) model is proposed through integrating memory-oriented …
innovative service design (KISD) model is proposed through integrating memory-oriented …
Decaf: deep case-based policy inference for knowledge transfer in reinforcement learning
Having the ability to solve increasingly complex problems using Reinforcement Learning
(RL) has prompted researchers to start developing a greater interest in systematic …
(RL) has prompted researchers to start developing a greater interest in systematic …
A review on diverse applications of case-based reasoning
M Sharma, C Sharma - Advances in Computing and Intelligent Systems …, 2020 - Springer
No technological area in the world has been spared from the successful and loud
expressions of Artificial Intelligence. With the high-speed development in the Artificial …
expressions of Artificial Intelligence. With the high-speed development in the Artificial …
Problem-oriented CBR: Finding potential problems from lead user communities
Online communities, where lead users openly share their experiences and knowledge on
product and technology in the form of a post, have become a fruitful source of innovation …
product and technology in the form of a post, have become a fruitful source of innovation …
An adaptive model for identification of influential bloggers based on case-based reasoning using random forest
Bloggers play a role in individual decision making of users in online social networking
platforms. Their capability of addressing a wide audience gives them influence over their …
platforms. Their capability of addressing a wide audience gives them influence over their …
Towards building general framework for designing knowledge sharing tool based on actor network theory
SS Mustapha - VINE Journal of Information and Knowledge …, 2024 - emerald.com
Purpose The purpose of this paper is to emphasize the needs to understand the barrier and
determinant factors in knowledge sharing (KS), to find the common ones and subsequently …
determinant factors in knowledge sharing (KS), to find the common ones and subsequently …
New algorithms of feature selection and big data assignment for CBR system integrated by bayesian network
Y Guo, Y Sun, K Wu, K Jiang - ACM Transactions on Knowledge …, 2020 - dl.acm.org
Under big data, the integrated system of case-based reasoning and Bayesian network has
exhibited great advantage in implementing the intelligence of engineering application in …
exhibited great advantage in implementing the intelligence of engineering application in …
An Integrated Approach to Predicting the Influence of Reputation Mechanisms on Q&A Communities
Y Yang, X Mao, M Wu - International Conference on Case-Based …, 2023 - Springer
The reputation mechanism is a commonly used incentive mechanism to motivate users to
participate in Q&A communities, which needs to be carefully reviewed before application …
participate in Q&A communities, which needs to be carefully reviewed before application …
Using FAHP and CBR to evaluate the intention of adoption of internet banking service: The example of web ATM
SJ Chang, CI Hsu, CT Lin - Journal of Intelligent & Fuzzy …, 2020 - content.iospress.com
This research combines the Fuzzy Analytic Hierarchy Process (FAHP) with Case-Based
Reasoning (CBR) to evaluate the intention of adoption of web ATM services. Compared with …
Reasoning (CBR) to evaluate the intention of adoption of web ATM services. Compared with …
Process feature change recognition based on model performance monitoring and adaptive model correction for the gold cyanidation leaching process
D He, Z Wang, Q Liu, J Shi, L Yang, Q Wang… - IEEE Access, 2019 - ieeexplore.ieee.org
The gold cyanidation leaching process (GCLP) is the central unit operation in
hydrometallurgy, and satisfactory gold recovery is highly significant in practice. However …
hydrometallurgy, and satisfactory gold recovery is highly significant in practice. However …