Multi-objective optimization-based recommendation for massive online learning resources
H Li, Z Zhong, J Shi, H Li, Y Zhang - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
As an important research topic in intelligent teaching systems, personalized
recommendation services of learning resources can effectively solve the “information …
recommendation services of learning resources can effectively solve the “information …
Rating prediction in recommender systems based on user behavior probability and complex network modeling
In recommender systems, measuring user similarity is essential for predicting a user's
ratings on items. Most traditional works calculate the similarity based on historical ratings …
ratings on items. Most traditional works calculate the similarity based on historical ratings …
Applying Artificial Bee Colony Algorithm to Improve UWSNs Communication
MI Habelalmateen, A Kaur, A Tiwari… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The research in this study aims at implementing the ABC algorithm to enhance the
communication within UWSNs. The ABC algorithm, motivated by the CPG approach being …
communication within UWSNs. The ABC algorithm, motivated by the CPG approach being …
Intelligent Time Management Recommendations Using Bayesian Optimization
G Chandramowleeswaran, M Sindhu… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
This paper focuses on the improvement of the intelligent time management system which
employ Bayesian optimization for suggesting time management plans for each particular …
employ Bayesian optimization for suggesting time management plans for each particular …
Improved Collaborative Filtering Recommender System Based on Missing Values Imputation on E-Commerce
AVP Kadek Abi Satria… - Building of Informatics …, 2022 - ejurnal.seminar-id.com
One of the important aspects in e-commerce is how to recommend a product to users
accurately. To achieve this goal, many e-commerce starts to build and research about …
accurately. To achieve this goal, many e-commerce starts to build and research about …
A systematic modelling of recommender system using derivative imitation of SVD and regression
BB Sinha, R Dhanalakshmi - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
Collaborative filtering has been extensively used in recommender systems, and its adoption
is aided by the abundance of actual and trustworthy user data available in the era of big …
is aided by the abundance of actual and trustworthy user data available in the era of big …