Sökning: "rekommendationssystem fashion"

Hittade 4 uppsatser innehållade orden rekommendationssystem fashion.

  1. 1. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Isac Lorentz; [2023]
    Nyckelord :Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Sammanfattning : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. LÄS MER

  3. 2. Maximizing Recommendation System Accuracy In E-Commerce for Clothing And Accessories for Children

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Niklas Renström; [2022]
    Nyckelord :Recommendation System; Session Based; E-Commerce; Clothes; Children s Fashion; Machine Learning; RNN; LSTM; GRU; STAMP; Rekommendationssystem; Sessionsbaserad; E-handel; Kläder; Barnmode; Maskininlärning; Återkopplande Neurala Nätverk;

    Sammanfattning : The industry of electronic commerce (e-commerce) constitutes a great part of the yearly retail consumption in Sweden. Looking at recent years, it has been seen that a rapidly growing sector within the mentioned field is the clothing industry for clothes and accessories for children and newborns. LÄS MER

  4. 3. New Methodologies for Fashion Recommender Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Gabriele Prato; [2019]
    Nyckelord :;

    Sammanfattning : Traditional Recommender Systems rely on finding similarities between users and/or between items. In its broadest definition, a Recommender System tries to predict the preference a user would give to an item. LÄS MER

  5. 4. A Framework for Fashion Data Gathering, Hierarchical-Annotation and Analysis for Social Media and Online Shop : TOOLKIT FOR DETAILED STYLE ANNOTATIONS FOR ENHANCED FASHION RECOMMENDATION

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Ummul Wara; [2018]
    Nyckelord :Web-scraper; image-annotation; instagram; zalando; data pre-processing framework; customized-crawler; online-shopping website; deep fashionrecommendation;

    Sammanfattning : Due to the transformation of different recommendation system from contentbased to hybrid cross-domain-based, there is an urge to prepare a socialnetwork dataset which will provide sufficient data as well as detail-level annotation from a predefined hierarchical clothing category and attribute based vocabulary by considering user interactions. However, existing fashionbased datasets lack either in hierarchical-category based representation or user interactions of social network. LÄS MER