Essays about: "the feature of e commerce"

Showing result 1 - 5 of 22 essays containing the words the feature of e commerce.

1. 1. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection

   University essay from Uppsala universitet/Analys och partiella differentialekvationer

   Author : Patrik Gerdelius; Sjönneby Hugo; [2024]
   Keywords : Fraud Detection; User Behaviour; Random Forest; PCA; SMOTE;

   Abstract : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. READ MORE

3. 2. Exploring the Use of Attention for Generation Z Fashion Style Recognition with User Annotations as Labels

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Niki Samakovlis; [2023]
   Keywords : Attention mechanism; CNN; Deep Learning; Fashion Style Recognition; Feature Extraction; Generation Z; Uppmärksamhetsmekanism; Faltningsnätverk; Djupinlärning; Igenkänning av klädstilar; Särdragsextraktion; Generation Z;

   Abstract : As e-commerce and online shopping have increased worldwide, the interest and research of intelligent fashion systems have expanded. Given the competitive nature of the fashion market business, digital marketplaces depend on determining customer preferences. READ MORE

4. 3. A Study on Enhancing Recommendation Systems for Experience Goods

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Wilmer Andersson; Erik Sjöström; [2023]
   Keywords : Recommendation systems; Experience goods;

   Abstract : This study examines the design and trustworthiness factors of recommendation systems forexperience goods in the e-commerce industry. Experience goods are products that involvesensory experiences and pose challenges for consumers to assess and select online. READ MORE

5. 4. Multi-modal Models for Product Similarity : Comparative evaluation of unimodal and multi-modal architectures for product similarity prediction and product retrieval

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Christos Frantzolas; [2023]
   Keywords : Computer Vision; Natural Language Processing; Representation Learning; Metric Learning; Multimodal Retrieval; Bildigenkänning; Språkteknologi; Representationsinlärning; Metrisk inlärning; Multimodal informationssökning;

   Abstract : With the rapid growth of e-commerce, enabling effective product recommendation systems and improving product search for shoppers plays a crucial role in driving customer satisfaction. Traditional product retrieval approaches have mainly relied on unimodal models focusing on text data. READ MORE

6. 5. Predicting Customer Churn in E-commerce Using Statistical Modeling and Feature Importance Analysis : A Comparison of Random Forest and Logistic Regression Approaches

   University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

   Author : Amanda Rudälv; [2023]
   Keywords : Customer behavior; E-commerce; Churn prediction; Statistical model; Machine learning; Random forest; Logistic regression; Feature importance; Kundbeteende; E-handel; Kundbortfall; Statistisk modell; Maskininlärning; Random forest; Logistisk regression; Variabelsignifikans;

   Abstract : While operating in online markets offers opportunities for expanded assortment and convenience, it also poses challenges such as increased competition and the need to build personal relationships with customers. Customer retention be- comes crucial in maintaining a successful business, emphasizing the importance of understanding customer behavior. READ MORE