Instruct: Given a paper title, retrieve paper titles that are cited by the given paper
Query: Comparison of collaborative filtering algorithms: Limitations of current techniques and proposals for scalable, high-performance recommender systems
A Comparison of Collaborative-Filtering Recommendation Algorithms for E-commerce
A Connection-Centric Survey of Recommender Systems Research
comparison of collaborative deep learning and nonnegative matrix factorization for recommender systems .
When recommenders fail: predicting recommender failure for algorithm selection and combination
Tag and Resource-Aware Collaborative Filtering Algorithms for Resource Recommendation
MovieLens unplugged: experiences with an occasionally connected recommender system
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines
Facing the cold start problem in recommender systems
Performance of recommender algorithms on top-n recommendation tasks
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Applying associative retrieval techniques to alleviate the sparsity problem in collaborative filtering
Collaborative Filtering Recommendation Based on All-Weighted Matrix Factorization and Fast Optimization
Past, Present, and Future of Recommender Systems: An Industry Perspective
Combating the Cold Start User Problem in Model Based Collaborative Filtering
Collaborative filtering with graph information: consistency and scalable methods
SLIM: Sparse Linear Methods for Top-N Recommender Systems
Dealing with the new user cold-start problem in recommender systems: A comparative review
Parallel matrix factorization for recommender systems
Collaborative Filtering for Information Recommendation Systems
A trust-based architectural framework for collaborative filtering recommender system
Probabilistic latent semantic indexing
Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories
Active Community Detection in Massive Graphs
A prospective ten-year clinical trial of porcelain veneers
comparison of microsoft dsl tools and eclipse modeling frameworks for domain - specific modeling in the context of model - driven development .