Sökning: "rating prediction"
Visar resultat 1 - 5 av 41 uppsatser innehållade orden rating prediction.
1. Recommender Systems Using Limited Dataset Sizes
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In order to create personalized recommendations for users on services such as e-commerce websites and streaming platforms, recommender systems often utilize various machine learning techniques. A common technique used in recommender systems is collaborative filtering which creates rating predictions based on similar users’ interests. LÄS MER
2. From Data to Decision: : Using Logistic Regression to Determine Creditworthiness
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : The development of scorecards for customer credit rating is a well-established field in the financial sector. The aim of this project, conducted in collaboration with a Swedish credit institute, was to develop a statistical model for predicting customer performance. LÄS MER
3. Risk Assessment of Digital Assets – Insurance Applications in Cryptocurrencies and NFTs
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The aim of the project is to develop a framework for an insurance policy for digital assets. The project comprised several stages, starting with the identification of risks associated with these assets. Policyholders were then categorized into two groups based on a predefined rating factor. LÄS MER
4. Predicting Airbnb Prices in European Cities Using Machine Learning
Kandidat-uppsats, Blekinge Tekniska Högskola/Fakulteten för datavetenskaperSammanfattning : Background: Machine learning is a field of computer science that focuses on creating models that can predict patterns and relations among data. In this thesis, we use machine learning to predict Airbnb prices in various European cities to help the hosts in setting reasonable prices for their properties. LÄS MER
5. Investigating Validity of Semantic Measures vs Rating Scales in Assessing Personality
Kandidat-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Within personality research, self-report questionnaires are a common approach. This study takes aim at investigating whether self-report questionnaires are enough, or if semantic measures, through Natural Language Processing, could be a substitute or complementary method, in assessing personality. LÄS MER