Online Platform Market Reputation Systems

Online platform economy is booming, eg. Uber, Airbnb, Amazon, Alibaba, Netflix, etc., has become our daily life during & posting COVID-19 global pandemic. Online Reputation systems plays a critical role in enabling such Internet platforms' business success. Dr. Samuel Li has done excellent research work in this challenging field using the latest AI Text Analytics and Machine Learning techniques, including sentimental analytics, unsupervised text analytics, and supervised machine learning methods e.g. logistics regression (LR), support vector machine (SVM), Long-Short Memory (LSTM Neural Networks), and Transfer Learnings. More interestingly, Dr. Li employs various Econometric techniques to explore and discover important insights on Review Length, Review Age, Consumer Behaviour, and Reputation Systems, which has important implications for both research scholars and online platform/eCommerce practitioners. Only drawback for this book is that font size is too small to read, and I would recommend the book publisher should improve the book editing for better readability. - Vivian @ Vancouver, BC.