Essays about: "Recommender Systems Evaluation"

Showing result 16 - 20 of 29 essays containing the words Recommender Systems Evaluation.

1. 16. Deep Neural Networks for Context Aware Personalized Music Recommendation : A Vector of Curation

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Oktay Bahceci; [2017]
   Keywords : Information Filtering; Information Retrieval; Search Engine; Search Engines; Recommendation; Music Recommendation; Personalized Recommendation; Personalised Recommendation; Context Aware Recommendation; Recommender Systems; Statistical Learning; Artificial Intelligence; Machine Learning; Deep Learning; Neural Networks; Artificial Neural Networks; Feed Forward Neural Networks; Convolutional Neural Networks; Recurrent Neural Networks; Deep Neural Networks; Embedding;

   Abstract : Information Filtering and Recommender Systems have been used and has been implemented in various ways from various entities since the dawn of the Internet, and state-of-the-art approaches rely on Machine Learning and Deep Learning in order to create accurate and personalized recommendations for users in a given context. These models require big amounts of data with a variety of features such as time, location and user data in order to find correlations and patterns that other classical models such as matrix factorization and collaborative filtering cannot. READ MORE

3. 17. An Empirical Evaluation of Context Aware Clustering of Bandits using Thompson Sampling

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Nicolò Campolongo; [2017]
   Keywords : bandits; multi-armed; Thompson Sampling;

   Abstract : Stochastic bandit algorithms are increasingly being used in the domain of recommender systems, when the environment is very dynamic and the items to recommend are frequently changing over time. While traditional approaches consider a single bandit instance which assumes all users to be equal, recent developments in the literature showed that the quality of recommendations can be improved when individual bandit instances for different users are considered and clustering techniques are used. READ MORE

4. 18. Fluid Interactive Information Visualization: A Visualization Tool for Book Recommendation

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Yinglai Xu; [2017]
   Keywords : Information Visualisation;

   Abstract : The accuracy of recommender systems has been largely discussed and the user experience of the recommended systems is now becoming a new focus. Combining recommendations with information visualization (InfoVis) can be a way to improve the acceptance of the system. READ MORE

5. 19. Evaluation of memory based collaborative filtering for repository recommendation on Github

   University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)

   Author : Fredrik Åhs; [2017]
   Keywords : ;

   Abstract : GitHub is host to a huge number of repositories. In order to explore and find new and interesting repositories on GitHub users has to rely on global charts or explore manually. Recommender systems are a type of software algorithms that produce personalized recommendations to users. READ MORE

6. 20. Implementing a scalable recommender system for social networks

   University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolan

   Author : Alexander Cederblad; [2017]
   Keywords : Datateknik; Datateknik;

   Abstract : Large amounts of items and users with different characteristics and preferences make personalized recommendations a problem. Many companies employ recommender systems to solve the problem of discovery and information overload where it is unreasonable for a user to go through all items to find something interesting. READ MORE