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Maximizing Sales and Customer Satisfaction in E-Commerce Through Ai-Driven Techniques
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inferredcites →https://doi.org/10.1002/cpe.6149openalex-extracted
Word2Sent : A new learning sentiment‐embedding model with low dimension for sentence level sentiment classification
inferredcites →https://doi.org/10.1007/978-0-387-84858-7openalex-extracted
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
inferredcites →https://doi.org/10.1007/978-1-4842-5028-0openalex-extracted
Artificial Intelligence Basics
inferredcites →https://doi.org/10.1007/s10462-018-9654-yopenalex-extracted
A review on deep learning for recommender systems: challenges and remedies
inferredcites →https://doi.org/10.1007/s11042-019-07788-7openalex-extracted
A Hybrid CNN-LSTM Model for Improving Accuracy of Movie Reviews Sentiment Analysis
inferredcites →https://doi.org/10.1007/s11042-023-17321-6openalex-extracted
A hybrid recommender system for health supplement e-commerce based on customer data implicit ratings
inferredcites →https://doi.org/10.1007/s13278-021-00776-6openalex-extracted
A review on sentiment analysis and emotion detection from text
inferredcites →https://doi.org/10.1007/s41060-022-00312-5openalex-extracted
A survey on machine learning methods for churn prediction
inferredcites →https://doi.org/10.1016/0004-3702(96)00007-0openalex-extracted
Artificial intelligence: A modern approach
inferredcites →https://doi.org/10.1016/j.dss.2017.12.002openalex-extracted
Optimal pricing in e-commerce based on sparse and noisy data
inferredcites →https://doi.org/10.1016/j.dss.2018.09.002openalex-extracted
Deep learning for affective computing: Text-based emotion recognition in decision support
inferredcites →https://doi.org/10.1016/j.iedeen.2023.100221openalex-extracted
The influence of websites user engagement on the development of digital competitive advantage and digital brand name in logistics startups
inferredcites →https://doi.org/10.1016/j.ijhm.2020.102546openalex-extracted
Using machine learning and big data for efficient forecasting of hotel booking cancellations
inferredcites →https://doi.org/10.1016/j.matpr.2021.06.419openalex-extracted
Applications of artificial intelligence in business management, e-commerce and finance
inferredcites →https://doi.org/10.1016/j.neucom.2019.09.012openalex-extracted
Combining attention-based bidirectional gated recurrent neural network and two-dimensional convolutional neural network for document-level sentiment classification
inferredcites →https://doi.org/10.1016/j.procs.2015.02.112openalex-extracted
Hybrid Approach for Emotion Classification of Audio Conversation Based on Text and Speech Mining
inferredcites →https://doi.org/10.1088/1742-6596/1897/1/012024openalex-extracted
Recommendation Systems For E-commerce Systems An Overview
inferredcites →https://doi.org/10.1109/access.2020.2969854openalex-extracted
Sentiment Analysis for E-Commerce Product Reviews in Chinese Based on Sentiment Lexicon and Deep Learning
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/com-it-con54601.2022.9850543openalex-extracted
Survey of Different Recommendation Systems to Improve the Marketing Strategies on E-commerce
inferredcites →https://doi.org/10.1109/tla.2021.9827469openalex-extracted
B3 Stock Price Prediction Using LSTM Neural Networks and Sentiment Analysis
inferredcites →https://doi.org/10.1177/1938965519851466openalex-extracted
Big Data in Hotel Revenue Management: Exploring Cancellation Drivers to Gain Insights Into Booking Cancellation Behavior
inferredcites →https://doi.org/10.32996/jbms.2024.6.2.12openalex-extracted
Unleashing Deep Learning: Transforming E-commerce Profit Prediction with CNNs
inferredcites →https://doi.org/10.3390/jtaer18040110openalex-extracted
A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research
inferredcites →https://doi.org/10.48550/arxiv.2007.05216openalex-extracted
Price Optimization in Fashion E-commerce
inferredcites →https://doi.org/10.69554/jjgr7331openalex-extracted
Personalisation the artificial intelligence way
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