Related, but not Relevant: Content-Based Collaborative Filtering in TREC-8
Information Retrieval
Incremental Singular Value Decomposition of Uncertain Data with Missing Values
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Taking a new look at the latent semantic analysis approach to information retrieval
Computational information retrieval
Detecting attribute dependencies from query feedback
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Two uses for updating the partial singular value decomposition in latent semantic indexing
Applied Numerical Mathematics
Dynamical low-rank approximation: applications and numerical experiments
Mathematics and Computers in Simulation
Robust Singular Spectrum Transform
IEA/AIE '09 Proceedings of the 22nd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: Next-Generation Applied Intelligence
DynamicTV: a culture-aware recommender
Proceedings of the third ACM conference on Recommender systems
Fast algorithm for updating the discriminant vectors of dual-space LDA
IEEE Transactions on Information Forensics and Security
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
RPLSA: A novel updating scheme for Probabilistic Latent Semantic Analysis
Computer Speech and Language
Subspace tracking for latent semantic analysis
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
A Fast Algorithm for Updating and Downsizing the Dominant Kernel Principal Components
SIAM Journal on Matrix Analysis and Applications
On building and updating distributed LSI for p2p systems
ISPA'05 Proceedings of the 2005 international conference on Parallel and Distributed Processing and Applications
Incremental complete LDA for face recognition
Pattern Recognition
Incremental learning of complete linear discriminant analysis for face recognition
Knowledge-Based Systems
Efficient eigen-updating for spectral graph clustering
Neurocomputing
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We develop new SVD-updating algorithms for three types of updating problems arising from latent semantic indexing (LSI) for information retrieval to deal with rapidly changing text document collections. We also provide theoretical justification for using a reduced-dimension representation of the original document collection in the updating process. Numerical experiments using several standard text document collections show that the new algorithms give higher (interpolated) average precisions than the existing algorithms, and the retrieval accuracy is comparable to that obtained using the complete document collection.