Essays about: "collaborative filtering"

Showing result 11 - 15 of 94 essays containing the words collaborative filtering.

  1. 11. Maximizing Recommendation System Accuracy In E-Commerce for Clothing And Accessories for Children

    University essay from KTH/Matematik (Avd.)

    Author : Niklas Renström; [2022]
    Keywords : 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;

    Abstract : 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. READ MORE

  3. 12. Accurate Simulation of a Collaborative Robot Arm with Cartesian Impedance Control

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Joel Holmesson; [2021]
    Keywords : Technology and Engineering;

    Abstract : Simulation of systems is used in several fields of science as a tool for safe and resource-efficient testing, as well as a tool for prediction. In this thesis, the goal is to produce an accurate simulation of a collaborative robot arm, together with a controller solution. The robot is supposed to learn and perform contact-rich tasks. READ MORE

  4. 13. Comparison of state-of-the-art Temporal Interaction Network methods in different settings : Novel models to predict temporal behavior

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

    Author : Indre Tauroseviciute; [2021]
    Keywords : Recommendation systems; Neural Collaborative Filtering; RNN; Backpropagation; Comparative analysis;

    Abstract : Recommendation systems become more and more necessary due to the growing supply chain. Therefore, scientists are developing models that can serve different recommendation needs faster than before, and it is getting more complicated to choose the model for a specific case. READ MORE

  5. 14. A Recommender System for Suggested Sites using Multi-Armed Bandits : Initialising Bandit Contexts by Neural Collaborative Filtering

    University essay from Linköpings universitet/Institutionen för datavetenskap

    Author : William Stenberg; [2021]
    Keywords : Recommender Systems; Neural Collaborative Filtering; Multi-Armed Bandits;

    Abstract : The abundance of information available on the internet necessitates means of quickly finding what is relevant for the individual user. To this end, there has been much research concerning recommender systems and lately specifically methods using deep learning for such systems. READ MORE

  6. 15. Federated Neural Collaborative Filtering for privacy-preserving recommender systems

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Johannes Langelaar; Adam Strömme Mattsson; [2021]
    Keywords : Machine learning; Federated learning; Deep learning; Artificial intelligence; AI; Neural networks; Recommender systems; Recommendation systems; Collaborative filtering; Privacy; Federated averaging; Movielens;

    Abstract : In this thesis a number of models for recommender systems are explored, all using collaborative filtering to produce their recommendations. Extra focus is put on two models: Matrix Factorization, which is a linear model and Multi-Layer Perceptron, which is a non-linear model. READ MORE