Essays about: "implicit interaction"

Showing result 1 - 5 of 31 essays containing the words implicit interaction.

  1. 1. Randomized Diagonal Estimation

    University essay from KTH/Matematik (Avd.)

    Author : Niclas Joshua Popp; [2023]
    Keywords : Diagonal estimation; randomized numerical linear algebra; low-rank approximation; matrix functions; Diagonalestimering; randomiserad numerisk linjär algebra; lågrankad approximation; matrisfunktioner;

    Abstract : Implicit diagonal estimation is a long-standing problem that is concerned with approximating the diagonal of a matrix that can only be accessed through matrix-vector products. It is of interest in various fields of application, such as network science, material science and machine learning. READ MORE

  3. 2. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques

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

    Author : Malvin Lundqvist; [2023]
    Keywords : Recommendation Systems; Collaborative Filtering; Matrix Factorization; Multi-Layer Perceptron; Neural Network-based Collaborative Filtering; Implicit Feedback; Deep Learning; Term Frequency-Inverse Document Frequency; Rekommendationssystem; Kollaborativ filtrering; Matrisfaktorisering; Flerlagersperceptron; Neurala nätverksbaserad kollaborativ filtrering; Implicit data; Djupinlärning; Termfrekvens med omvänd dokumentfrekvens;

    Abstract : Collaborative filtering is a popular technique to use behavior data in the form of user’s interactions with, or ratings of, items in a system to provide personalized recommendations of items to the user. This study compares three different state-of-the-art Recommendation System models that implement this technique, Matrix Factorization, Multi-layer Perceptron and Neural Matrix Factorization, using behavior data from a digital book platform for children. READ MORE

  4. 3. Overcoming The New Item Problem In Recommender Systems : A Method For Predicting User Preferences Of New Items

    University essay from Stockholms universitet/Statistiska institutionen

    Author : Alice Jonason; [2023]
    Keywords : Recommender systems; Content-based systems; Implicit ratings; Latent Dirichlet Allocation; Vector Space Model;

    Abstract : This thesis addresses the new item problem in recommender systems, which pertains to the challenges of providing personalized recommendations for items which have limited user interaction history. The study proposes and evaluates a method for generating personalized recommendations for movies, shows, and series on one of Sweden’s largest streaming platforms. READ MORE

  5. 4. Reinventing The Switch : How Might We Facilitate Adapting Lighting Conditions To Users’ Needs In Homes

    University essay from Malmö universitet/Institutionen för konst, kultur och kommunikation (K3)

    Author : Ghaith Alhalaby; [2022]
    Keywords : interaction with light; family home; machine learning; AI; ambient intelligence; user experience;

    Abstract : Light shapes the environment we live in and thereby our lives. The advancement in technology made it possible to accurately adjust different light properties. This high level of control is promising and changing at the same time. Taming this complexity and providing users with meaningful ways to interact with light is at the core of this mission. READ MORE

  6. 5. Understanding the Link Between Robots Perspective Taking, and Humans Formulating a Mental Model and Exhibiting Prosocial Behaviour

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

    Author : João Tiago Matias Marques De Almeida; [2022]
    Keywords : Perspective Taking; Prosocial Behaviour; Human-Robot Interaction; Implicit frame of reference; Explicit frame of reference; Human’s mental model; Tomada de Perspectiva; Comportamento Prosocial; Interacção Humano- Robot; Ponto de referência implícito; Ponto de referência explícito; Modelo mental humano; Perspektivstagande; Prosociala beteenden; Interaktion mellan människa och robot; Implicit referensram; Explicit referensram; Människans mentala modell;

    Abstract : For effective Human-Robot Interactions, robots have to achieve the same level of understanding as humans in every aspect. Humans are highly versatile, able to switch between frames of reference and consider multiple perspectives efficiently. Additionally, humans help and care for each other in the hope of contributing to a better society. READ MORE