Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Multiverse recommendation: n-dimensional tensor factorization for context-aware collaborative filtering
Temporal collaborative filtering with bayesian probabilistic tensor factorization
Large-Scale Parallel Collaborative Filtering for the Netflix Prize
Gaussian process factorization machines for context-aware recommendations
Recommendation with the Right Slice: Speeding Up Collaborative Filtering with Factorization Machines
collaborative filtering and the generalized vector space model .
Interactive collaborative filtering
Collaborative Filtering Recommendation Based on All-Weighted Matrix Factorization and Fast Optimization
Collaborative Filtering beyond the User-Item Matrix: A Survey of the State of the Art and Future Challenges
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs
Content-Boosted Collaborative Filtering for Improved Recommendations
NLMF: NonLinear Matrix Factorization Methods for Top-N Recommender Systems
Tutorial on recent progress in collaborative filtering
comparison of collaborative deep learning and nonnegative matrix factorization for recommender systems .
Collaborative Fashion Recommendation: A Functional Tensor Factorization Approach
A matrix factorization technique with trust propagation for recommendation in social networks
Joint User Knowledge and Matrix Factorization for Recommender Systems
Scalable Collaborative Filtering Approaches for Large Recommender Systems
Cross-Domain Collaborative Filtering with Factorization Machines
Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation
Factor in the neighbors: Scalable and accurate collaborative filtering
Animating bubble interactions in a liquid foam
Learning in the presence of concept drift and hidden contexts
Algorithm 866: IFISS, a Matlab toolbox for modelling incompressible flow
Vaginismus Treatment: Clinical Trials Follow Up 241 Patients
RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems