Product recommendation for e-commerce business by applying principal component analysis (PCA) and K-means clustering: benefit for the society
Sign Up to like & getrecommendations! Published in 2020 at "Innovations in Systems and Software Engineering"
DOI: 10.1007/s11334-020-00372-5
Abstract: Recommender system is a computer-based intelligent technique which facilitates the customers to fulfill their purchase requirements. In addition to this, it also helps retailers to manage the supply chain of their business and to develop… read more here.
Keywords: means clustering; commerce business; product; business ... See more keywords
Preconditioned Data Sparsification for Big Data With Applications to PCA and K-Means
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Information Theory"
DOI: 10.1109/tit.2017.2672725
Abstract: We analyze a compression scheme for large data sets that randomly keeps a small percentage of the components of each data sample. The benefit is that the output is a sparse matrix, and therefore, subsequent… read more here.
Keywords: big data; sparsification big; preconditioned data; data applications ... See more keywords