Essays about: "Customer fashion"

Showing result 6 - 10 of 205 essays containing the words Customer fashion.

  1. 6. Customer churn prediction in a slow fashion e-commerce context : An analysis of the effect of static data in customer churn prediction

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

    Author : Luca Colasanti; [2023]
    Keywords : Survival Analysis; Time To Event prediction; Churn retention; Machine Learning; Deep Learning; Customer Clustering; E-commerce; Analisi di sopravvivenza; Previsione del tempo a evento; Ritenzione dall’abbandono dei clienti; Apprendimento automatico; Apprendimento profondo; Segmentazione della clientela; Commercio elettronico; Överlevnadsanalys; Tid till händelseförutsägelse; Churn Prediction; Maskininlärning; Djuplärning; Kundkluster; E-handel;

    Abstract : Survival analysis is a subfield of statistics where the goal is to analyse and model the data where the outcome is the time until the occurrence of an event of interest. Because of the intrinsic temporal nature of the analysis, the employment of more recently developed sequential models (Recurrent Neural Network (RNN) and Long Short Term Memory (LSTM)) has been paired with the use of dynamic temporal features, in contrast with the past reliance on static ones. READ MORE

  3. 7. Context-Aware Fashion Recommender Systems to Provide Intent-based Recommendations to Customers

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Edda Waciira; Marah Thomas; [2023]
    Keywords : e-commerce; Fashion Recommendation Systems; Machine Learning; Recommendation Systems;

    Abstract : In recent years, Recommendation Systems have revolutionized how social media and ecommerce are used. Fashion Recommendation Systems have made it easier for customers to do shopping, by recommending items to them based on various factors, such as their previous orders, and their similarities to other users. READ MORE

  4. 8. Det är Lugnt, vi tar det Klarna! : A Qualitative Study of Gen Z’s Purchase Intentions for Fashion Using BNPL in an online and in-store context.

    University essay from

    Author : Amanda Persson; Alexandra Millner; [2023]
    Keywords : BNPL; buy now pay later; purchase intentions; online context; in-store context; payment method; fashion; Gen Z.;

    Abstract : Abstract  Background: The evolution of technology has transformed the way we shop, with BNPL services like Klarna and Qliro gaining popularity among consumers. This form of short-term financing offers flexibility by allowing customers to either pay later or divide their costs into interest-free installments. READ MORE

  5. 9. How Visual Framing and Specificity Framing Influence Buying Decisionsin Fashion E-commerce

    University essay from Jönköping University/JTH, Avdelningen för datateknik och informatik

    Author : Kimia Emami; Andrea Makarová; [2023]
    Keywords : Visual Framing; Framing of Specificity of Terms; E-commerce; Sustainability; Fashion; User Experience Design;

    Abstract :  Companies face several challenges when it comes to promoting green consumption and designing effective communication strategies for sustainable products.The framing effect, which refers to the presentation of messages, can significantly influence customer perceptions and purchasing intentions. READ MORE

  6. 10. 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