A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
On the Best Rank-1 and Rank-(R1,R2,. . .,RN) Approximation of Higher-Order Tensors
SIAM Journal on Matrix Analysis and Applications
Optimising area under the ROC curve using gradient descent
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Fast maximum margin matrix factorization for collaborative prediction
ICML '05 Proceedings of the 22nd international conference on Machine learning
Non-negative tensor factorization with applications to statistics and computer vision
ICML '05 Proceedings of the 22nd international conference on Machine learning
Real-time automatic tag recommendation
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Tag recommendations based on tensor dimensionality reduction
Proceedings of the 2008 ACM conference on Recommender systems
Online-updating regularized kernel matrix factorization models for large-scale recommender systems
Proceedings of the 2008 ACM conference on Recommender systems
A sparse gaussian processes classification framework for fast tag suggestions
Proceedings of the 17th ACM conference on Information and knowledge management
Tag recommendations in social bookmarking systems
AI Communications
Scalable Tensor Decompositions for Multi-aspect Data Mining
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Spectral Clustering in Social-Tagging Systems
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
I tag, you tag: translating tags for advanced user models
Proceedings of the third ACM international conference on Web search and data mining
Pairwise interaction tensor factorization for personalized tag recommendation
Proceedings of the third ACM international conference on Web search and data mining
Social tagging in recommender systems: a survey of the state-of-the-art and possible extensions
Artificial Intelligence Review
Speak the same language with your friends: augmenting tag recommenders with social relations
Proceedings of the 21st ACM conference on Hypertext and hypermedia
Connecting users and items with weighted tags for personalized item recommendations
Proceedings of the 21st ACM conference on Hypertext and hypermedia
A probabilistic model for personalized tag prediction
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Compositional matrix-space models of language
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Proceedings of the fourth ACM conference on Recommender systems
Learning in efficient tag recommendation
Proceedings of the fourth ACM conference on Recommender systems
Collaborative filtering in social tagging systems based on joint item-tag recommendations
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Low-order tensor decompositions for social tagging recommendation
Proceedings of the fourth ACM international conference on Web search and data mining
Post-based collaborative filtering for personalized tag recommendation
Proceedings of the 2011 iConference
Effective hybrid recommendation combining users-searches correlations using tensors
APWeb'11 Proceedings of the 13th Asia-Pacific web conference on Web technologies and applications
Learning to detect abnormal semantic web data
Proceedings of the sixth international conference on Knowledge capture
A unified framework for recommendations based on quaternary semantic analysis
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Are tensor decomposition solutions unique? on the Global convergence HOSVD and parafac algorithms
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Latent subject-centered modeling of collaborative tagging: An application in social search
ACM Transactions on Management Information Systems (TMIS)
Rank aggregation via nuclear norm minimization
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Efficient Tag Recommendation for Real-Life Data
ACM Transactions on Intelligent Systems and Technology (TIST)
Unsupervised auto-tagging for learning object enrichment
EC-TEL'11 Proceedings of the 6th European conference on Technology enhanced learning: towards ubiquitous learning
Learning recommender systems with adaptive regularization
Proceedings of the fifth ACM international conference on Web search and data mining
ETF: extended tensor factorization model for personalizing prediction of review helpfulness
Proceedings of the fifth ACM international conference on Web search and data mining
A simple word trigger method for social tag suggestion
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Semi-supervised tag recommendation - using untagged resources to mitigate cold-start problems
PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I
Build your own music recommender by modeling internet radio streams
Proceedings of the 21st international conference on World Wide Web
A people-to-people recommendation system using tensor space models
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Predicting RDF triples in incomplete knowledge bases with tensor factorization
Proceedings of the 27th Annual ACM Symposium on Applied Computing
Integrating temporal usage pattern into personalized tag prediction
APWeb'12 Proceedings of the 14th Asia-Pacific international conference on Web Technologies and Applications
A new approach to answerer recommendation in community question answering services
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
Tag-aware recommender systems: a state-of-the-art survey
Journal of Computer Science and Technology - Special issue on Community Analysis and Information Recommendation
Tripartite community structure in social bookmarking data
The New Review of Hypermedia and Multimedia - Special issue on Social Linking and Hypermedia
Folksonomy-Based Term Extraction for Word Cloud Generation
ACM Transactions on Intelligent Systems and Technology (TIST)
Fast mining and forecasting of complex time-stamped events
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Learning to rank social update streams
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
Improving tensor based recommenders with clustering
UMAP'12 Proceedings of the 20th international conference on User Modeling, Adaptation, and Personalization
Extending FolkRank with content data
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web
Utilising document content for tag recommendation in folksonomies
Proceedings of the sixth ACM conference on Recommender systems
Bringing the associative ability to social tag recommendation
TextGraphs-7 '12 Workshop Proceedings of TextGraphs-7 on Graph-based Methods for Natural Language Processing
Location-sensitive resources recommendation in social tagging systems
Proceedings of the 21st ACM international conference on Information and knowledge management
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
Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems
Information Processing and Management: an International Journal
ACM Transactions on Interactive Intelligent Systems (TiiS)
Making recommendations from multiple domains
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
A Random Walk Model for Item Recommendation in Social Tagging Systems
ACM Transactions on Management Information Systems (TMIS)
Fine-grained preference-aware location search leveraging crowdsourced digital footprints from LBSNs
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Social semantic query expansion
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
Proceedings of the first ACM conference on Online social networks
Learning topical translation model for microblog hashtag suggestion
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
A framework for tag-aware recommender systems
Expert Systems with Applications: An International Journal
Personalized recommender systems integrating tags and item taxonomy
Web Intelligence and Agent Systems
Hi-index | 0.00 |
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or delicious. In this paper, we propose a method for tag recommendation based on tensor factorization (TF). In contrast to other TF methods like higher order singular value decomposition (HOSVD), our method RTF ('ranking with tensor factorization') directly optimizes the factorization model for the best personalized ranking. RTF handles missing values and learns from pairwise ranking constraints. Our optimization criterion for TF is motivated by a detailed analysis of the problem and of interpretation schemes for the observed data in tagging systems. In all, RTF directly optimizes for the actual problem using a correct interpretation of the data. We provide a gradient descent algorithm to solve our optimization problem. We also provide an improved learning and prediction method with runtime complexity analysis for RTF. The prediction runtime of RTF is independent of the number of observations and only depends on the factorization dimensions. Besides the theoretical analysis, we empirically show that our method outperforms other state-of-the-art tag recommendation methods like FolkRank, PageRank and HOSVD both in quality and prediction runtime.