Journal ArticleDOI
A fuzzy recommendation system for predicting the customers interests using sentiment analysis and ontology in e-commerce
R. Karthik,Sannasi Ganapathy +1 more
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TLDR
A new fuzzy logic-based product recommendation system which dynamically predicts the most relevant products to the customers in online shopping according to the users’ current interests and uses ontology alignment for making decisions that are more accurate and predict dynamically based on the search context.About:
This article is published in Applied Soft Computing.The article was published on 2021-09-01. It has received 48 citations till now. The article focuses on the topics: End user & Recommender system.read more
Citations
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Journal ArticleDOI
Large-Scale Group Decision Making: A Systematic Review and a Critical Analysis
TL;DR: In this article , a review of the most relevant studies about LSGDM, identifying the most profitable research trends and analyzing them from a critical point of view is presented, and a critical analysis of the main limitations of the existing proposals is developed.
Proceedings ArticleDOI
Using Fuzzy Clustering with Deep Learning Models for Detection of COVID-19 Disinformation
Mu Yen Chen,Yi-Wei Lai +1 more
TL;DR: This research uses fuzzy theory to extract features and uses multiple deep learning model frameworks to detect Chinese and English COVID-19 misinformation and designs two different feature extraction methods based on fuzzy classification and compares the results with different deep learning models.
Journal ArticleDOI
XGBRS Framework Integrated with Word2Vec Sentiment Analysis for Augmented Drug Recommendation
TL;DR: In this paper , a recommendation system that is based on the fusion of sentiment analysis and radiant boosting is proposed, where the polarity of the sentiments is analyzed through user reviews and the processed data is fed into the Extreme Gradient Boosting (XGBOOST) framework to generate the drug recommendation.
Journal ArticleDOI
A New Emergency-Risk-Evaluation Approach under Spherical Fuzzy-Information Environments
TL;DR: In this article , the authors integrated the risk-priority number and spherical fuzzy-sets methods to propose a novel emergency-risk-evaluation method to deal with the issue of risk evaluation when major emergencies or accidents occur.
Journal ArticleDOI
Self-supervised learning for fair recommender systems
Haifeng Liu,Hongfei Lin,Wenqi Fan,Yuqi Ren,Bo Xu,Xiaokun Zhang,Dongzhen Wen,Nan Zhao,Yuan Lin,Liang Yang +9 more
TL;DR: Zhang et al. as discussed by the authors proposed a group rank fair recommender (GRFRec) method to mitigate the unfairness of recommender algorithms by using adversarial learning to eliminate group-specific information and results in an unbiased user-item representation space.
References
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Journal ArticleDOI
A new feature selection method to improve the document clustering using particle swarm optimization algorithm
TL;DR: A novel feature selection method, namely,feature selection method using the particle swarm optimization (PSO) algorithm (FSPSOTC) to solve the feature selection problem by creating a new subset of informative text features that can improve the performance of the text clustering technique and reduce the computational time.
Journal ArticleDOI
A review of natural language processing techniques for opinion mining systems
Shiliang Sun,Chen Luo,Junyu Chen +2 more
TL;DR: This paper introduces general NLP techniques which are required for text preprocessing, and investigates the approaches of opinion mining for different levels and situations, and introduces comparative opinion mining and deep learning approaches for opinion mining.
Journal ArticleDOI
A combination of objective functions and hybrid Krill herd algorithm for text document clustering analysis
TL;DR: A combination of objective functions and hybrid KH algorithm, called, MHKHA, is proposed to solve the text document clustering problem and obtained the best results for all evaluation measures and datasets used among all the clustering algorithms tested.
Journal ArticleDOI
A novel hybridization strategy for krill herd algorithm applied to clustering techniques
TL;DR: The experiments reveal that the proposed hybrid KHA with HS algorithm (H-KHA) is superior or at least highly competitive with the original KH algorithm, well-known clustering techniques and other comparative optimization algorithms.
Journal ArticleDOI
Intelligent feature selection and classification techniques for intrusion detection in networks: a survey
Sannasi Ganapathy,K. Kulothungan,S. Muthurajkumar,Muthusamy Vijayalakshmi,P. Yogesh,Arputharaj Kannan +5 more
TL;DR: A survey on intelligent techniques for feature selection and classification for intrusion detection in networks based on intelligent software agents, neural networks, genetic algorithms, neuro-genetic algorithms, fuzzy techniques, rough sets, and particle swarm intelligence is proposed.
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