The vocabulary problem in human-system communication
Communications of the ACM
Query refinement for multimedia similarity retrieval in MARS
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
A novel region-based image retrieval method using relevance feedback
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
FALCON: Feedback Adaptive Loop for Content-Based Retrieval
VLDB '00 Proceedings of the 26th International Conference on Very Large Data Bases
Laplacian Eigenmaps for dimensionality reduction and data representation
Neural Computation
Evaluating Refined Queries in Top-k Retrieval Systems
IEEE Transactions on Knowledge and Data Engineering
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
Incorporating contextual information in recommender systems using a multidimensional approach
ACM Transactions on Information Systems (TOIS)
A Unified Log-Based Relevance Feedback Scheme for Image Retrieval
IEEE Transactions on Knowledge and Data Engineering
Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
The complex dynamics of collaborative tagging
Proceedings of the 16th international conference on World Wide Web
Tag-aware recommender systems by fusion of collaborative filtering algorithms
Proceedings of the 2008 ACM symposium on Applied computing
Network properties of folksonomies
AI Communications - Network Analysis in Natural Sciences and Engineering
Learning tag relevance by neighbor voting for social image retrieval
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
Scalable Tensor Decompositions for Multi-aspect Data Mining
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Learning optimal ranking with tensor factorization for tag recommendation
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Ranking with local regression and global alignment for cross media retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Inferring semantic concepts from community-contributed images and noisy tags
MM '09 Proceedings of the 17th ACM international conference on Multimedia
IEEE Transactions on Knowledge and Data Engineering
MusicBox: personalized music recommendation based on cubic analysis of social tags
IEEE Transactions on Audio, Speech, and Language Processing
Collaborative filtering recommender systems
The adaptive web
Automatic tag expansion using visual similarity for photo sharing websites
Multimedia Tools and Applications
A graph-based clustering scheme for identifying related tags in folksonomies
DaWaK'10 Proceedings of the 12th international conference on Data warehousing and knowledge discovery
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Collaborative tagging as a tripartite network
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
Cubic analysis of social bookmarking for personalized recommendation
APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
Exploring Context and Content Links in Social Media: A Latent Space Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-Time Visual Concept Classification
IEEE Transactions on Multimedia
Cross-Space Affinity Learning with Its Application to Movie Recommendation
IEEE Transactions on Knowledge and Data Engineering
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In this article, a novel method for personalized item recommendation based on social tagging is presented. The proposed approach comprises a content-based tag propagation method to address the sparsity and “cold start” problems, which often occur in social tagging systems and decrease the quality of recommendations. The proposed method exploits (a) the content of items and (b) users' tag assignments through a relevance feedback mechanism in order to automatically identify the optimal number of content-based and conceptually similar items. The relevance degrees between users, tags, and conceptually similar items are calculated in order to ensure accurate tag propagation and consequently to address the issue of “learning tag relevance.” Moreover, the ternary relation among users, tags, and items is preserved by performing tag propagation in the form of triplets based on users' personal preferences and “cold start” degree. The latent associations among users, tags, and items are revealed based on a tensor factorization model in order to build personalized item recommendations. In our experiments with real-world social data, we show the superiority of the proposed approach over other state-of-the-art methods, since several problems in social tagging systems are successfully tackled. Finally, we present the recommendation methodology in the multimodal engine of I-SEARCH, where users' interaction capabilities are demonstrated.