Essays about: "movie rating"
Showing result 1 - 5 of 10 essays containing the words movie rating.
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1. Recommender Systems Using Limited Dataset Sizes
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Using objective data from movies to predict other movies’ approval rating through Machine Learning
University essay from Högskolan Kristianstad/Fakulteten för naturvetenskapAbstract : 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. READ MORE
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3. Success at the box office in the age of streaming services : An examination of how streaming services have impacted the dynamics of successful movies in the cinema
University essay from Jönköping University/IHH, NationalekonomiAbstract : Netflix and other streaming services have grown immensely since they started offering online streaming. In this paper I present a correlation matrix using ticket sales at the domestic box office and the number of Netflix subscribers. READ MORE
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4. Predicting movie success using machine learning techniques
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : The area of creating predictive models using machine learning has increased in size in recent years. The market for movies is still big with hundreds of new movies created every year. The purpose of this report is to investigate whether it is possible to classify movie rating and box office revenue with metadata available before release. READ MORE
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5. Conjugate-Prior-Regularized Multinomial pLSA for Collaborative Filtering
University essay from Lunds universitet/Matematik LTHAbstract : Collaborative filtering is a method for making predictions about consumer interests by collecting preferences or information about opinions from other consumers. For this purpose statistical modeling techniques are applied to learn personalized models for each consumer based on every purchase or provided rating to the available items. READ MORE
