Essays about: "hybrid recommendation system"

Showing result 1 - 5 of 20 essays containing the words hybrid recommendation system.

  1. 1. 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

  3. 2. Personalized Investment Recommendations Using Recommendation Systems

    University essay from Lunds universitet/Nationalekonomiska institutionen

    Author : Lorik Sadriu; [2023]
    Keywords : Recommendation systems; Deep learning; Institutional investors; Investment decision-making; Mean-variance spanning test; Cross-Selling; Business and Economics;

    Abstract : This paper presents a Deep Learning-based Hybrid Recommendation System (DLHR) designed specifically for institutional investors with public portfolio holdings on the Stockholm Stock Exchange. The objective is to provide personalized investment recommendations, complement existing portfolios, and explore untapped cross-selling opportunities. 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. Help Document Recommendation System

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Keerthi Vijay Kumar; Pinky Mary Stanly; [2023]
    Keywords : Document similarity; Recommender systems; content-based filtering; collaborative filtering; Term Frequency-Inverse Document Frequency TF-IDF ; Bidirectional Encoder Representation from Transformers BERT ; Non-Negative Matrix Factorisation NMF ; cosine similarity; K-means clustering;

    Abstract : Help documents are important in an organization to use the technology applications licensed from a vendor. Customers and internal employees frequently use and interact with the help documents section to use the applications and know about the new features and developments in them. READ MORE

  6. 5. Oven Usage Optimization : A study on scheduling at the wear edge production at Olofsfors AB

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

    Author : Anna Karlsson; [2023]
    Keywords : Scheduling problem; Re-entrant hybrid flow shop; Packing problem; Batching rules; Sensitivity analysis; Genetic algorithm; Schemaläggningsproblem; Packingingsproblem; Laststorleksregler; Känslighetsanalys; Genetisk algoritm;

    Abstract : Olofsfors is a steel product manufacturer in Nordmaling, Sweden, producing steel edges for snowplows, tracks for forest machines, and wear edges for buckets on heavy equipment. Most of their products are heated to 900◦ C and then cooled down in water, so-called quenching, during the hardening process. READ MORE