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- Combining Multiple Metadata Types in Movies Recommendation Using Ensemble Algorithms
- Setting Goals and Choosing Metrics for Recommender System Evaluations
- Collective-Intelligence Recommender Systems: Advancing Computer Tailoring for Health Behavior Change Into the 21St Century
- Movielens Unplugged: Experiences with an Occasionally Connected Recommender System
- The LFM-1B Dataset for Music Retrieval and Recommendation
- Towards Content Provider Aware Recommender Systems a Simulation Study on the Interplay Between User and Provider Utilities
- Item-Based Collaborative Filtering Recommendation Algorithms
- SIGCHI Conference Paper Format
- Leveraging Collective Intelligence in Recommender System
- Metadata Based Recommender Systems
- A Recommendation Engine for Predicting Movie Ratings Using a Big Data Approach
- Collaborative Filtering Recommender Systems Contents
- Collaborative Filtering of E-Learning Resources
- Collaborative Filtering Recommender Systems
- Under the Hood of Netflix Recommender System
- An Item–Item Collaborative Filtering Recommender System Using Trust and Genre to Address the Cold-Start Problem
- A User-Centric Evaluation of the Netflix Recommender System
- Collective Intelligence Outline Collective Intelligence Collective
- Evaluation of Collaborative Filtering for Recommender Systems
- Recommender Systems and Collaborative Filtering
- A Voting Procedures Recommender System for Decision-Making Adama Coulibaly, Pascale Zaraté, Guy Camilleri, Jacqueline Konate, Fana Tangara
- Movie Recommender Systems: Implementation and Performace Evaluation
- User Based Hybrid Algorithms for Music Recommendation Systems
- Which Recommender System Can Best Fit Social Learning Platforms?
- Recommendation System for Netflix
- Recommender Systems for Large-Scale E-Commerce: Scalable Neighborhood Formation Using Clustering
- Big & Personal: Data and Models Behind Netflix Recommendations
- A Survey of Accuracy Evaluation Metrics of Recommendation Tasks
- Matrix Factorization Techniques for Recommender Systems
- Recommender Systems Jan Boehmer, Yumi Jung, and Rick Wash Michigan State University Email: [email protected] Word Count: 4,744
- Recommender System for News Articles Using Supervised Learning
- Collaborative Filtering for Binary, Positive-Only Data
- Music Recommenders: User Evaluation Without Real Users?
- Collective Intelligence How Collaborative Contents and Social Media Changing the Face of Digital Library
- Utilizing Metadata to Select a Recommendation Algorithm for a User Or an Item
- Recommender Systems Harnessing the Power of Personalization
- User Technology Adoption Issues in Recommender Systems
- Recommender System White Paper
- Enhancing User Experience with Recommender Systems Beyond Prediction Accuracies
- A Collaborative Filtering Based Approach for Recommending Elective Courses
- A Decision Tree Based Recommender System
- Recommendation Systems: Algorithms, Challenges, Metrics, and Business Opportunities
- Research Resources for Recommender Systems
- Evaluating Recommender Systems
- Collaborative Filtering
- Music Recommendation Based on Listening Sessions
- Recommender Systems for the Department of Defense and Intelligence Community
- Deep Neural Networks for Youtube Recommendations
- Content-Based Recommender System for Movie Website
- Measuring the Business Value of Recommender Systems
- A Capable Multimedia Content Discovery Platform Based on Visual Content Analysis and Intelligent Data Enrichment
- Music Recommendation and the Long Tail
- Collaborative Filtering Recommender Systems Full Text Available At
- Multi-Level Ensemble Learning Based Recommender System
- Item-Based Collaborative Filtering with BERT
- TOWARD a COLLECTIVE INTELLIGENCE RECOMMENDER SYSTEM for EDUCATION Jaime Meza1, L
- Towards Effective Research Recommender Systems for Repositories
- Recommender Systems: Sources of Knowledge and Evaluation Metrics
- Deep Learning-Based Recommendation: Current Issues and Challenges
- Application of Dimensionality Reduction in Recommender System -- a Case Study
- Comparison of User Based and Item Based Collaborative Filtering Recommendation Services
- Practical Diversified Recommendations on Youtube with Determinantal Point Processes Mark Wilhelm, Ajith Ramanathan, Alexander Bonomo, Sagar Jain, Ed H
- Top-K Off-Policy Correctionfor a REINFORCE Recommender System
- An Effective Hybrid Recommender Using Metadata-Based
- Neighborhood-Based Collaborative Filtering for Therapy Decision Support
- Presentation of a Recommender System with Ensemble Learning and Graph Embedding: a Case on Movielens
- Towards Cognitive Recommender Systems
- Deep Learning Based Recommender System: a Survey and New Perspectives
- Sequential Recommender System Based on Hierarchical Attention
- Using Implicit Feedbackfor Recommender Systems
- Youtube Recommendation System Github