Modeling Temporal Adoptions Using Dynamic Matrix Factorization

• Main Authors: CHUA, Freddy Chong-Tat, Oentaryo, Richard Jayadi, LIM, Ee Peng
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2013
• Subjects: Collaborative filtering; Matrix decomposition; Recommender systems; Data models; Vectors; Kalman filters; Predictive models; Mathematical model; Heuristic algorithms; Probabilistic logic; Dynamic Matrix Factorization; Kalman Filter; Linear Dynamical Systems; State Space Models; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/1974; https://ink.library.smu.edu.sg/context/sis_research/article/2973/viewcontent/C84___Modeling_Temporal_Adoptions_Using_Dynamic_Matrix_Factorization__ICDM2013_.pdf
• Institution: Singapore Management University

The problem of recommending items to users is relevant to many applications and the problem has often been solved using methods developed from Collaborative Filtering (CF). Collaborative Filtering model-based methods such as Matrix Factorization have been shown to produce good results for static rat...