[HTML][HTML] An analyses of the effect of using contextual and loyalty features on early purchase prediction of shoppers in e-commerce domain
Online sales have been growing rapidly in recent years. With the growing competition,
online retailers have been keen to increase the effectiveness of their e-commerce platforms …
online retailers have been keen to increase the effectiveness of their e-commerce platforms …
Using Word2Vec recommendation for improved purchase prediction
R Esmeli, M Bader-El-Den… - 2020 International Joint …, 2020 - ieeexplore.ieee.org
Purchase prediction can help e-commerce planners plan their stock and personalised offers.
Word2Vec is a well-known method to explore word relations in sentences for sentiment …
Word2Vec is a well-known method to explore word relations in sentences for sentiment …
Miko: Multimodal Intention Knowledge Distillation from Large Language Models for Social-Media Commonsense Discovery
Social media has become ubiquitous for connecting with others, staying updated with news,
expressing opinions, and finding entertainment. However, understanding the intention …
expressing opinions, and finding entertainment. However, understanding the intention …
Implicit feedback awareness for session based recommendation in e-commerce
Abstract Information overload is a challenge in e-commerce platforms. E-shoppers may have
difficulty selecting the best product from the available options. Recommender systems (RS) …
difficulty selecting the best product from the available options. Recommender systems (RS) …
How should Bank Syariah Indonesia respond to cyber-attacks? Churn, sentiments, and emotions analysis with machine learning
Objectives The objective of this study is to investigate the public's response to cyberattacks
on Bank Syariah Indonesia, focusing on identifying key topics, analyzing sentiments and …
on Bank Syariah Indonesia, focusing on identifying key topics, analyzing sentiments and …
Session similarity based approach for alleviating cold-start session problem in e-commerce for Top-N recommendations
R Esmeli, M Bader-El-Den… - 12th International Joint …, 2020 - researchportal.port.ac.uk
Cold-start problem is one of the main challenges for the recommender systems. There are
many methods developed for traditional recommender systems to alleviate the drawback of …
many methods developed for traditional recommender systems to alleviate the drawback of …
SMONE: A Session-based Recommendation Model Based on Neighbor Sessions with Similar Probabilistic Intentions
A session-based recommendation system (SRS) tries to predict the next possible choice of
anonymous users. In recent years, graph neural network (GNN) models have been …
anonymous users. In recent years, graph neural network (GNN) models have been …
An Evaluation of Core Factors of Predictive Analytics in Influencing Purchase Decision of the Consumers in E-business
Business intelligence and predictive analytics skills is a significant growth driver in e-
commerce operations. These capabilities assist to enhance vendor sales and attract …
commerce operations. These capabilities assist to enhance vendor sales and attract …
Improving session-based recommendation adopting linear regression-based re-ranking
Due to the increase in the importance of giving real-time recommendation to e-commerce
users, session-based recommender systems become more popular. Session-based …
users, session-based recommender systems become more popular. Session-based …
Analysing the effect of platform and operating system features on predicting consumers' purchase intent using machine learning algorithms
R Esmeli, A Mohasseb… - 12th International Joint …, 2020 - researchportal.port.ac.uk
Predicting future consumer browsing and purchase behaviour has become crucial to many
marketing platforms. Consumer purchase intention is one of the main inputs used as a …
marketing platforms. Consumer purchase intention is one of the main inputs used as a …