Sökning: "matrix factorization"
Visar resultat 1 - 5 av 55 uppsatser innehållade orden matrix factorization.
1. Recommending digital books to children : Acomparative study of different state-of-the-art recommendation system techniques
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : 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. LÄS MER
2. Evolving Community Detection in Dynamic Networks using Nonnegative Tensor Decomposition : An Approach Toward Green Networking
Master-uppsats, Luleå tekniska universitet/DatavetenskapSammanfattning : Around 1.8–2.8% of the world’s total greenhouse gas emissions are contributed by the ICT sector, with telecommunications networks accounting for 26.4% of this total ICT share. LÄS MER
3. Minimum Cost Distributed Computing using Sparse Matrix Factorization
Master-uppsats, KTH/Optimeringslära och systemteoriSammanfattning : Distributed computing is an approach where computationally heavy problems are broken down into more manageable sub-tasks, which can then be distributed across a number of different computers or servers, allowing for increased efficiency through parallelization. This thesis explores an established distributed computing setting, in which the computationally heavy task involves a number of users requesting a linearly separable function to be computed across several servers. LÄS MER
4. Dimensionality Reduction in High-Dimensional Profile Analysis Using Scores
Master-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakultetenSammanfattning : Profile analysis is a multivariate statistical method for comparing the mean vectors for different groups. It consists of three tests, they are the tests for parallelism, level and flatness. The results from each test give information about the behaviour of the groups and the variables in the groups. LÄS MER
5. Predicting future purchases with matrix factorization
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : This thesis aims to establish the efficacy of using matrix factorization to predict future purchases. Matrix factorisation is a machine learning method, commonly used to implement the collaborative filtering recommendation system. LÄS MER