TY - CHAP A1 - Sien Chen A2 - Wenqiang Huang A3 - Mengxi Chen A4 - Junjiang Zhong A5 - Jie Cheng ED1 - Javier Prieto Tejedor Y1 - 2017-11-02 PY - 2017 T1 - Airlines Content Recommendations Based on Passengers' Choice Using Bayesian Belief Networks N2 - The range of Bayesian inference algorithms and their different applications has been greatly expanded since the first implementation of a Kalman filter by Stanley F. Schmidt for the Apollo program. Extended Kalman filters or particle filters are just some examples of these algorithms that have been extensively applied to logistics, medical services, search and rescue operations, or automotive safety, among others. This book takes a look at both theoretical foundations of Bayesian inference and practical implementations in different fields. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics, as well as a source document of fundamentals for intermediate Bayesian readers. BT - Bayesian Inference SP - Ch. 18 UR - https://doi.org/10.5772/intechopen.70131 DO - 10.5772/intechopen.70131 SN - 978-953-51-3578-4 PB - IntechOpen CY - Rijeka Y2 - 2021-01-19 ER -