Overview of the second text retrieval conference (TREC-2)
TREC-2 Proceedings of the second conference on Text retrieval conference
On-line learning and stochastic approximations
On-line learning in neural networks
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
The entity-relationship model—toward a unified view of data
ACM Transactions on Database Systems (TODS) - Special issue: papers from the international conference on very large data bases: September 22–24, 1975, Framingham, MA
Parallel Optimization: Theory, Algorithms and Applications
Parallel Optimization: Theory, Algorithms and Applications
Relative Expected Instantaneous Loss Bounds
COLT '00 Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
Convex Optimization
Multi-label informed latent semantic indexing
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Fast maximum margin matrix factorization for collaborative prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Spectral clustering for multi-type relational data
ICML '06 Proceedings of the 23rd international conference on Machine learning
The support vector decomposition machine
ICML '06 Proceedings of the 23rd international conference on Machine learning
Supervised probabilistic principal component analysis
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Clustering with Bregman Divergences
The Journal of Machine Learning Research
Relational clustering by symmetric convex coding
Proceedings of the 24th international conference on Machine learning
Combining content and link for classification using matrix factorization
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Predictive discrete latent factor models for large scale dyadic data
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A probabilistic framework for relational clustering
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A Unified View of Matrix Factorization Models
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Joint learning user's activities and profiles from GPS data
Proceedings of the 2009 International Workshop on Location Based Social Networks
Recommending new movies: even a few ratings are more valuable than metadata
Proceedings of the third ACM conference on Recommender systems
Multi-relational learning with Gaussian processes
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
fLDA: matrix factorization through latent dirichlet allocation
Proceedings of the third ACM international conference on Web search and data mining
Collaborative location and activity recommendations with GPS history data
Proceedings of the 19th international conference on World wide web
Proceedings of the 15th ACM symposium on Access control models and technologies
Multi-network fusion for collective inference
Proceedings of the Eighth Workshop on Mining and Learning with Graphs
Affiliation recommendation using auxiliary networks
Proceedings of the fourth ACM conference on Recommender systems
Adapting neighborhood and matrix factorization models for context aware recommendation
Proceedings of the Workshop on Context-Aware Movie Recommendation
Unifying explicit and implicit feedback for collaborative filtering
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Topic models conditioned on relations
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part III
Like like alike: joint friendship and interest propagation in social networks
Proceedings of the 20th international conference on World wide web
Adversaries' Holy Grail: access control analytics
Proceedings of the First Workshop on Building Analysis Datasets and Gathering Experience Returns for Security
Community Discovery via Metagraph Factorization
ACM Transactions on Knowledge Discovery from Data (TKDD)
Localized factor models for multi-context recommendation
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
UMAP'11 Proceedings of the 19th international conference on User modeling, adaption, and personalization
Bayesian matrix co-factorization: variational algorithm and Cramér-Rao bound
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Scalable Affiliation Recommendation using Auxiliary Networks
ACM Transactions on Intelligent Systems and Technology (TIST)
Matrix co-factorization for recommendation with rich side information and implicit feedback
Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems
Factorization vs. regularization: fusing heterogeneous social relationships in top-n recommendation
Proceedings of the fifth ACM conference on Recommender systems
Multi-relational matrix factorization using bayesian personalized ranking for social network data
Proceedings of the fifth ACM international conference on Web search and data mining
Targeting converters for new campaigns through factor models
Proceedings of the 21st international conference on World Wide Web
Sparse linear methods with side information for Top-N recommendations
Proceedings of the 21st international conference companion on World Wide Web
Towards mobile intelligence: Learning from GPS history data for collaborative recommendation
Artificial Intelligence
Matrix co-factorization on compressed sensing
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Transfer learning to predict missing ratings via heterogeneous user feedbacks
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Proceedings of the 17th ACM symposium on Access Control Models and Technologies
Non-negative residual matrix factorization: problem definition, fast solutions, and applications
Statistical Analysis and Data Mining
Detecting communities in K-partite K-uniform (hyper)networks
Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
TFMAP: optimizing MAP for top-n context-aware recommendation
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Predicting the ratings of multimedia items for making personalized recommendations
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Sparse linear methods with side information for top-n recommendations
Proceedings of the sixth ACM conference on Recommender systems
BlurMe: inferring and obfuscating user gender based on ratings
Proceedings of the sixth ACM conference on Recommender systems
Constrained collective matrix factorization
Proceedings of the sixth ACM conference on Recommender systems
Geo-activity recommendations by using improved feature combination
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Multi-faceted ranking of news articles using post-read actions
Proceedings of the 21st ACM international conference on Information and knowledge management
Social recommendation across multiple relational domains
Proceedings of the 21st ACM international conference on Information and knowledge management
Discriminative factor alignment across heterogeneous feature space
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Mining contextual movie similarity with matrix factorization for context-aware recommendation
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
Connecting comments and tags: improved modeling of social tagging systems
Proceedings of the sixth ACM international conference on Web search and data mining
Expert Systems with Applications: An International Journal
Transfer learning in heterogeneous collaborative filtering domains
Artificial Intelligence
Multi-Relational learning for recommendation of matches between semantic structures
KES'12 Proceedings of the 16th international conference on Knowledge Engineering, Machine Learning and Lattice Computing with Applications
Nontrivial landmark recommendation using geotagged photos
ACM Transactions on Intelligent Systems and Technology (TIST) - Special Sections on Paraphrasing; Intelligent Systems for Socially Aware Computing; Social Computing, Behavioral-Cultural Modeling, and Prediction
Personalized recommendation via cross-domain triadic factorization
Proceedings of the 22nd international conference on World Wide Web
HeteroMF: recommendation in heterogeneous information networks using context dependent factor models
Proceedings of the 22nd international conference on World Wide Web
Localized matrix factorization for recommendation based on matrix block diagonal forms
Proceedings of the 22nd international conference on World Wide Web
Bayesian Canonical correlation analysis
The Journal of Machine Learning Research
Nonparametric bayesian multitask collaborative filtering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics
International Journal of Knowledge Discovery in Bioinformatics
Coupled Matrix Factorization with Sparse Factors to Identify Potential Biomarkers in Metabolomics
International Journal of Knowledge Discovery in Bioinformatics
Type Extension Trees for feature construction and learning in relational domains
Artificial Intelligence
Hierarchical Bayesian matrix factorization with side information
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Cross-domain collaborative filtering via bilinear multilevel analysis
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Social trust prediction using heterogeneous networks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Understanding and promoting micro-finance activities in Kiva.org
Proceedings of the 7th ACM international conference on Web search and data mining
Cross domain recommendation based on multi-type media fusion
Neurocomputing
Modeling contextual agreement in preferences
Proceedings of the 23rd international conference on World wide web
A time-based collective factorization for topic discovery and monitoring in news
Proceedings of the 23rd international conference on World wide web
Poisson Noise Reduction with Non-local PCA
Journal of Mathematical Imaging and Vision
Hi-index | 0.00 |
Relational learning is concerned with predicting unknown values of a relation, given a database of entities and observed relations among entities. An example of relational learning is movie rating prediction, where entities could include users, movies, genres, and actors. Relations encode users' ratings of movies, movies' genres, and actors' roles in movies. A common prediction technique given one pairwise relation, for example a #users x #movies ratings matrix, is low-rank matrix factorization. In domains with multiple relations, represented as multiple matrices, we may improve predictive accuracy by exploiting information from one relation while predicting another. To this end, we propose a collective matrix factorization model: we simultaneously factor several matrices, sharing parameters among factors when an entity participates in multiple relations. Each relation can have a different value type and error distribution; so, we allow nonlinear relationships between the parameters and outputs, using Bregman divergences to measure error. We extend standard alternating projection algorithms to our model, and derive an efficient Newton update for the projection. Furthermore, we propose stochastic optimization methods to deal with large, sparse matrices. Our model generalizes several existing matrix factorization methods, and therefore yields new large-scale optimization algorithms for these problems. Our model can handle any pairwise relational schema and a wide variety of error models. We demonstrate its efficiency, as well as the benefit of sharing parameters among relations.