Sökning: "rating prediction"
Visar resultat 6 - 10 av 41 uppsatser innehållade orden rating prediction.
6. Generating lightning bolt videos perceived as real in images using machine learning
Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. Weather and weather effects are important features when trying to immerse the viewer into a virtual world. Lightning and thunder is one of those effects when attempting to create rough weather, realistic lightning however requires heavy computations, using physics, weather systems, and knowledge of the 3d world. Objectives. LÄS MER
7. Using objective data from movies to predict other movies’ approval rating through Machine Learning
Kandidat-uppsats, Högskolan Kristianstad/Fakulteten för naturvetenskapSammanfattning : Machine Learning is improving at being able to analyze data and find patterns in it, but does machine learning have the capabilities to predict something subjective like a movie’s rating using exclusively objective data such as actors, directors, genres, and their runtime? Previous research has shown the profit and performance of actors on certain genres are somewhat predictable. Other studies have had reasonable results using subjective data such as how many likes the actors and directors have on Facebook or what people say about the movie on Twitter and YouTube. LÄS MER
8. Predicting the Helpfulness of Online Product Reviews
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för programvaruteknikSammanfattning : Review helpfulness prediction has attracted growing attention of researchers that proposed various solutions using Machine Learning (ML) techniques. Most of the studies used online reviews from Amazon to predict helpfulness where each review is accompanied with information indicating how many people found the review helpful. LÄS MER
9. Predicting financial distress using financial and non-financial indicators: Evidence from Chinese listed manufacturing companies
D-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansieringSammanfattning : This paper investigates empirically the utility of combining non-financial indicators to financial models with only financial indicators to explain the company financial distress in the Chinese manufacturing industry using a sample of 614 company-year observations of listed companies during the period 2010-2020. This paper develops financial distress prediction models for Chinese listed manufacturing companies. LÄS MER
10. Prediktion av användarbeteende : En komparativ studie av maskininlärningsmodeller för att predicera användarens betyg till filmer
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Film- och serieförslag motorer är en delmängd av informationsfiltreringssystem som försöker förutse användarnas betyg av sina favoritfilmer. Under de senaste åren har många rekommendationssystem blivit vanliga och har använts inom olika områden, inklusive filmproduktion. LÄS MER