Essays about: "Digital art recommendation system"
Found 4 essays containing the words Digital art recommendation system.
-
1. 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)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
-
2. Digital art recommendation system : A personalized virtual tour of digital collections
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The purpose of this project is to create a website with a React-based prototype recommendation system of a large cultural collection. The aim of the website is to provide a function that allows a user to upload an image to which the system consequently recommends correlating artwork from the publicly available collection of the Metropolitan Museum of Modern Art (MET). READ MORE
-
3. Collaborative Recommendations for Music Session Instrumentation : Contrasting Graph to ML Based Approaches
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Digital music composers are required to become proficient with relevant tools necessary for music in their particular domain. The learning curve for acquiring the skills for creative music composing, relative to the respective tooling, can be steep. READ MORE
-
4. Developing a recommender mechanism for supporting mobile content reuse
University essay from Linnéuniversitetet/Institutionen för datavetenskap, fysik och matematik, DFMAbstract : Nowadays people got used to short text answers, likes and shares. Anyone can feel it by entering popular forums or social networks. Modern platforms such as Twitter or Facebook contribute to this situation with their symbols per message limitations. The quality of content produced in such conditions is not high. READ MORE