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Enhancing Rating-Based Recommender Systems: A Comprehensive Analysis of User Textual Reviews

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1 of the 48 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1007/s11042-023-15348-3 (notice 2026-04-17).

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00521-018-3865-7openalex-extracted
How textual quality of online reviews affect classification performance: a case of deep learning sentiment analysis
inferredcites →https://doi.org/10.1007/s00521-021-05871-5openalex-extracted
Feature selection using cloud-based parallel genetic algorithm for intrusion detection data classification
inferredcites →https://doi.org/10.1007/s10462-022-10144-1openalex-extracted
A survey on sentiment analysis methods, applications, and challenges
inferredcites →https://doi.org/10.1007/s10639-019-10063-9openalex-extracted
A systematic review: machine learning based recommendation systems for e-learning
inferredcites →https://doi.org/10.1007/s10796-020-10071-yopenalex-extracted
Something’s Missing? A Procedure for Extending Item Content Data Sets in the Context of Recommender Systems
inferredcites →https://doi.org/10.1007/s11042-022-14112-3openalex-extracted
Review on sentiment analysis for text classification techniques from 2010 to 2021
inferredcites →https://doi.org/10.1007/s11042-023-15348-3openalex-extracted
RETRACTED ARTICLE: Deep-learning based system for effective and automatic blood vessel segmentation from Retinal fundus images
inferredcites →https://doi.org/10.1007/s12652-020-02774-6openalex-extracted
Enhancing shopping experiences in smart retailing
inferredcites →https://doi.org/10.1007/s41019-024-00254-xopenalex-extracted
Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
inferredcites →https://doi.org/10.1007/s41060-024-00594-xopenalex-extracted
A review of sentiment analysis: tasks, applications, and deep learning techniques
inferredcites →https://doi.org/10.1016/j.asoc.2021.107159openalex-extracted
User trustworthiness in online social networks: A systematic review
inferredcites →https://doi.org/10.1016/j.asoc.2021.107373openalex-extracted
Deep learning and multilingual sentiment analysis on social media data: An overview
inferredcites →https://doi.org/10.1016/j.cmpb.2023.107647openalex-extracted
Joint liver and hepatic lesion segmentation in MRI using a hybrid CNN with transformer layers
inferredcites →https://doi.org/10.1016/j.engappai.2024.108550openalex-extracted
An in-depth evaluation of deep learning-enabled adaptive approaches for detecting obstacles using sensor-fused data in autonomous vehicles
inferredcites →https://doi.org/10.1016/j.eswa.2020.113596openalex-extracted
Learning path personalization and recommendation methods: A survey of the state-of-the-art
inferredcites →https://doi.org/10.1016/j.eswa.2021.115887openalex-extracted
Harshness-aware sentiment mining framework for product review
inferredcites →https://doi.org/10.1016/j.future.2020.05.034openalex-extracted
A review of sentiment analysis research in Arabic language
inferredcites →https://doi.org/10.1016/j.imed.2023.08.002openalex-extracted
A clinical decision support system using rough set theory and machine learning for disease prediction
inferredcites →https://doi.org/10.1016/j.inffus.2020.12.001openalex-extracted
Reciprocal Recommender Systems: Analysis of state-of-art literature, challenges and opportunities towards social recommendation
inferredcites →https://doi.org/10.1016/j.jnca.2020.102716openalex-extracted
Applications of link prediction in social networks: A review
inferredcites →https://doi.org/10.1016/j.jretconser.2021.102881openalex-extracted
Detection of potential customers’ empathy behavior towards customers' reviews
inferredcites →https://doi.org/10.1016/j.neucom.2023.02.015openalex-extracted
Machine learning and deep learning for sentiment analysis across languages: A survey
inferredcites →https://doi.org/10.1080/19386389.2020.1742434openalex-extracted
Exploring Methods for Linked Data Model Evaluation in Practice
inferredcites →https://doi.org/10.1109/access.2020.3002803openalex-extracted
A Systematic Study on the Recommender Systems in the E-Commerce
inferredcites →https://doi.org/10.1109/access.2021.3072165openalex-extracted
Context-Aware Recommender Systems for Social Networks: Review, Challenges and Opportunities
inferredcites →https://doi.org/10.1109/access.2021.3108973openalex-extracted
An Improved Grey Wolf Optimization Algorithm and its Application in Path Planning
inferredcites →https://doi.org/10.1109/access.2022.3194536openalex-extracted
Recommendation Systems: An Insight Into Current Development and Future Research Challenges
inferredcites →https://doi.org/10.1109/access.2022.3211396openalex-extracted
Enhancing Big Social Media Data Quality for Use in Short-Text Topic Modeling
inferredcites →https://doi.org/10.1109/access.2023.3279723openalex-extracted
Parameters Sensitivity Analysis of Ant Colony Based Clustering: Application for Student Grouping in Collaborative Learning Environment
inferredcites →https://doi.org/10.1109/access.2023.3338705openalex-extracted
User Cold Start Problem in Recommendation Systems: A Systematic Review
inferredcites →https://doi.org/10.1109/tsipn.2023.3239654openalex-extracted
Cooperative Learning of Multi-Agent Systems Via Reinforcement Learning
inferredcites →https://doi.org/10.1111/exsy.12580openalex-extracted
RETRACTED: An improved model for sentiment analysis on luxury hotel review
inferredcites →https://doi.org/10.1145/3580305.3599470openalex-extracted
Predicting Information Pathways Across Online Communities
inferredcites →https://doi.org/10.1145/3627826openalex-extracted
Trustworthy Recommender Systems
inferredcites →https://doi.org/10.1145/3664928openalex-extracted
Fairness and Diversity in Recommender Systems: A Survey
inferredcites →https://doi.org/10.1177/1094428120971683openalex-extracted
Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations
inferredcites →https://doi.org/10.1186/s40537-022-00592-5openalex-extracted
A systematic review and research perspective on recommender systems
inferredcites →https://doi.org/10.13052/jwe1540-9589.2143openalex-extracted
Recommendation System Issues, Approaches and Challenges Based on User Reviews
inferredcites →https://doi.org/10.3233/jifs-221654openalex-extracted
Tunicate swarm-based grey wolf algorithm for fetal heart chamber segmentation and classification: a heuristic-based optimal feature selection concept
inferredcites →https://doi.org/10.3389/fdata.2022.897381openalex-extracted
Effects of Feature-Based Explanation and Its Output Modality on User Satisfaction With Service Recommender Systems
inferredcites →https://doi.org/10.3390/app10124196openalex-extracted
Prediction of Opinion Keywords and Their Sentiment Strength Score Using Latent Space Learning Methods
inferredcites →https://doi.org/10.3390/fi13090220openalex-extracted
Trend Prediction of Event Popularity from Microblogs
inferredcites →https://doi.org/10.3390/fi15090311openalex-extracted
Automatic Short Text Summarization Techniques in Social Media Platforms
inferredcites →https://doi.org/10.3390/foods11101500openalex-extracted
Sentiment Analysis of Customer Reviews of Food Delivery Services Using Deep Learning and Explainable Artificial Intelligence: Systematic Review
inferredcites →https://doi.org/10.3390/math10193554openalex-extracted
Text Mining of User-Generated Content (UGC) for Business Applications in E-Commerce: A Systematic Review
inferredcites →https://doi.org/10.3991/ijet.v16i03.18851openalex-extracted
A Review of Content-Based and Context-Based Recommendation Systems
inferredcites →https://doi.org/10.48550/arxiv.2401.11641openalex-extracted
Revolutionizing Finance with LLMs: An Overview of Applications and Insights
inferredcites →https://doi.org/10.9734/ajrcos/2021/v10i130231openalex-extracted
Review on Natural Language Processing Based on Different Techniques
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.