S. No. IEEE TITLE ABSTRACT IEEE YEAR 1 K-Subspaces Quantization for Approximate Nearest Neighbor Search Approximate Nearest Neighbor (ANN) search has become a popular approach for performing fast and efficient retrieval on very large-scale datasets in recent years, as the size and dimension of data grow continuously. In this paper, we […]
IEEE 2016 Java Data Mining Projects Title Abstract List Topics
S. No. IEEE TITLE ABSTRACT IEEE YEAR 1 A Novel Recommendation Model Regularized with User Trust and Item Ratings We propose TrustSVD, a trust-based matrix factorization technique for recommendations. TrustSVD integrates multiple information sources into the recommendation model in order to reduce the data sparsity and cold start problems and their […]