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Hybrid self-attention BiLSTM and incentive learning-based collaborative filtering for e-commerce recommendation systems

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What this work says

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

inferredcites →https://doi.org/10.1007/s00521-022-07889-9openalex-extracted

Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model

inferredcites →https://doi.org/10.1007/s10479-022-04838-6openalex-extracted

Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales

inferredcites →https://doi.org/10.1007/s12525-021-00503-1openalex-extracted

Network promoter score (NePS): An indicator of product sales in E-commerce retailing sector

inferredcites →https://doi.org/10.1016/j.apenergy.2023.122258openalex-extracted

A data-driven DRL-based home energy management system optimization framework considering uncertain household parameters

inferredcites →https://doi.org/10.1016/j.dss.2021.113622openalex-extracted

On the platform but will they buy? Predicting customers' purchase behavior using deep learning

inferredcites →https://doi.org/10.1016/j.eswa.2020.113342openalex-extracted

Predicting online shopping behaviour from clickstream data using deep learning

inferredcites →https://doi.org/10.1016/j.ifacol.2022.09.425openalex-extracted

Demand Forecasting of a Multinational Retail Company using Deep Learning Frameworks

inferredcites →https://doi.org/10.1016/j.jjimei.2022.100058openalex-extracted

Time-series forecasting of seasonal items sales using machine learning – A comparative analysis

inferredcites →https://doi.org/10.1109/access.2020.2997330openalex-extracted

Light Gradient Boosting Machine for General Sentiment Classification on Short Texts: A Comparative Evaluation

inferredcites →https://doi.org/10.1109/icbslp.2018.8554396openalex-extracted

A Deep Recurrent Neural Network with BiLSTM model for Sentiment Classification

inferredcites →https://doi.org/10.1109/ojies.2020.3012627openalex-extracted

A DNN-Based Cross-Domain Recommender System for Alleviating Cold-Start Problem in E-Commerce

inferredcites →https://doi.org/10.1109/telfor48224.2019.8971110openalex-extracted

Predicting Default Loans Using Machine Learning (OptiML)

inferredcites →https://doi.org/10.1145/3178876.3186146openalex-extracted

Aesthetic-based Clothing Recommendation

inferredcites →https://doi.org/10.14569/ijacsa.2021.0120801openalex-extracted

A New Approach of e-Commerce Web Design for Accessibility based on Game Accessibility in Chinese Market

inferredcites →https://doi.org/10.23919/cisti49556.2020.9141002openalex-extracted

Success Prediction of Leads – A Machine Learning Approach

inferredcites →https://doi.org/10.3390/app10228169openalex-extracted

Time Series Forecasting of Agricultural Products’ Sales Volumes Based on Seasonal Long Short-Term Memory

inferredcites →https://doi.org/10.3390/data4010015openalex-extracted

Machine-Learning Models for Sales Time Series Forecasting

inferredcites →https://doi.org/10.3390/fi15070235openalex-extracted

Enhancing Collaborative Filtering-Based Recommender System Using Sentiment Analysis

inferredcites →https://doi.org/10.48550/arxiv.2204.07786openalex-extracted

inferredcites →https://doi.org/10.1016/j.eswa.2022.116993openalex-snapshot

Approaching sales forecasting using recurrent neural networks and transformers

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1371/journal.pone.0330645openalex-snapshot

Forecasting and analysing global average temperature trends based on LSTM and ARIMA models

inferred← citeshttps://doi.org/10.3389/frma.2026.1914129openalex-snapshot

AI-driven marketing tactics and consumer behavior: a bibliometric review and systematic literature review

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