A systematic study on the recommender systems in the E-commerce

PM Alamdari, NJ Navimipour, M Hosseinzadeh… - Ieee …, 2020 - ieeexplore.ieee.org
Electronic commerce or e-commerce includes the service and good exchange through
electronic support like the Internet. It plays a crucial role in today's business and users' …

A comprehensive review of recommender systems: Transitioning from theory to practice

S Raza, M Rahman, S Kamawal, A Toroghi… - arXiv preprint arXiv …, 2024 - arxiv.org
Recommender Systems (RS) play an integral role in enhancing user experiences by
providing personalized item suggestions. This survey reviews the progress in RS inclusively …

A product recommendation model based on online reviews: Improving PageRank algorithm considering attribute weights

X Wang, C Zhang, Z Xu - Journal of Retailing and Consumer Services, 2024 - Elsevier
Consumer reviews play a crucial role in evaluating products on online e-commerce
platforms. Unlike numerical ratings, online reviews provide valuable information and …

An EEG‐based neuro‐recommendation system for improving consumer purchase experience

D Panda, DD Chakladar, S Rana… - Journal of Consumer …, 2024 - Wiley Online Library
The aperture between the marketing domain and the electroencephalography (EEG)‐based
brain–computer interface (BCI) has been achieved with the inception of neuromarketing …

Regexplainer: Generating explanations for graph neural networks in regression task

J Zhang, Z Chen, H Mei, D Luo, H Wei - arXiv preprint arXiv:2307.07840, 2023 - arxiv.org
Graph regression is a fundamental task and has received increasing attention in a wide
range of graph learning tasks. However, the inference process is often not interpretable …

Contemporary Recommendation Systems on Big Data and Their Applications: A Survey

Z Xia, A Sun, J Xu, Y Peng, R Ma, M Cheng - IEEE Access, 2024 - ieeexplore.ieee.org
This survey paper provides a comprehensive analysis of the evolution and current
landscape of recommendation systems, extensively used across various web applications. It …

Task-Oriented Communication for Graph Data: A Graph Information Bottleneck Approach

S Li, Y Wang, S Guo, C Feng - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
Graph data, essential in fields like knowledge representation and social networks, often
involves large networks with many nodes and edges. Transmitting these graphs can be …

Recommendation of influenced products using association rule mining: Neo4j as a case study

S Sen, A Mehta, R Ganguli, S Sen - SN Computer Science, 2021 - Springer
Recommendation systems are now inherent for many business applications to take
important business decisions. These systems are built based on the historical data that may …

Impact of Feature selection on content-based recommendation system

Y Afoudi, M Lazaar, M Al Achhab - … International Conference on …, 2019 - ieeexplore.ieee.org
As a variety of foods and recipes have an impact on our daily lives and our choices, more
and more recipes are being served in many restaurants around the world to cater the needs …

High-dimensional projected clustering for learner competency analysis in medical training programs

S Harikumar, J Pillai, V Chithra, R Raman… - IEEE …, 2024 - ieeexplore.ieee.org
Technology-enhanced learning (TEL) has been employed in healthcare systems to deliver
case-based practical knowledge and prognostic assessments for healthcare professionals …