Su Chen – författare

North America maintains the largest collection of archival materials relating to the Chinese Republican era (1911-1949) outside of China. Most of the archival materials are also unique, and the collections contain special materials supplementing historical records in China and Taiwan. In many cases, North America's holdings represent the best and only public access to the tumultuous Republican government and society of the first half of the twentieth century. An essential guide for researchers and students of Republican China, this volume, presented in both English and Chinese, covers personal papers, correspondences, memoirs, diaries, photographs, moving images, and other materials held at academic and research institutions across the United States and Canada. It includes concise descriptions of the people, organizations, and events connected to each entry and notes when certain collections are closely related and when materials are digitized for online access. The book corrects common errors associated with the library records of many archives and updates or completes information on the objects of these records.More than a straightforward itemization, this book adds significant depth to any research on the history and global import of China's modern development.

Collective view prediction is to judge the opinions of an active web user based on unknown elements by referring to the collective mind of the whole community. Content-based recommendation and collaborative filtering are two mainstream collective view prediction techniques. They generate predictions by analyzing the text features of the target object or the similarity of users’ past behaviors. Still, these techniques are vulnerable to the artificially-injected noise data, because they are not able to judge the reliability and credibility of the information sources. Trust-based Collective View Prediction describes new approaches for tackling this problem by utilizing users’ trust relationships from the perspectives of fundamental theory, trust-based collective view prediction algorithms and real case studies. The book consists of two main parts – a theoretical foundation and an algorithmic study. The first part will review several basic concepts and methods related to collective view prediction, such as state-of-the-art recommender systems, sentimental analysis, collective view, trust management, the Relationship of Collective View and Trustworthy, and trust in collective view prediction. In the second part, the authors present their models and algorithms based on a quantitative analysis of more than 300 thousand users’ data from popular product-reviewing websites. They also introduce two new trust-based prediction algorithms, one collaborative algorithm based on the second-order Markov random walk model, and one Bayesian fitting model for combining multiple predictors. The discussed concepts, developed algorithms, empirical results, evaluation methodologies and the robust analysis framework described in Trust-based Collective View Prediction will not only provide valuable insights and findings to related research communities and peers, but also showcase the great potential to encourage industries and business partners tointegrate these techniques into new applications.

The first part will review several basic concepts and methods related to collective view prediction, such as state-of-the-art recommender systems, sentimental analysis, collective view, trust management, the Relationship of Collective View and Trustworthy, and trust in collective view prediction.

The Chinese economy is growing at an unprecedented speed, and one of the emerging trends is angel investment. It is an area with tremendous potential for growth. Compared with the more mature markets in Western countries, however, angel investing in China is still at an early stage, due to a lack of incentives and insufficient policy support.By delving into existing literature on China's angel investment and conducting interviews with leading angel investors for China and abroad, Prof. Liu Manhong and Dr Wang Jiani — both scholars on and practitioners in the angel investment market — try to provide readers with a detailed picture of China's angel market: What is going on in the market? How should the government formulate relevant polices? And, perhaps more pertinently, what should investors know if they have invested in or are going to enter this market?This book will be very useful for scholars and researchers on China's angel market, as well as those "angels" who would like to tap its full potential.

The Chinese economy is growing at an unprecedented speed, and one of the emerging trends is angel investment. It is an area with tremendous potential for growth. Compared with the more mature markets in Western countries, however, angel investing in China is still at an early stage, due to a lack of incentives and insufficient policy support.By delving into existing literature on China's angel investment and conducting interviews with leading angel investors for China and abroad, Prof. Liu Manhong and Dr Wang Jiani — both scholars on and practitioners in the angel investment market — try to provide readers with a detailed picture of China's angel market: What is going on in the market? How should the government formulate relevant polices? And, perhaps more pertinently, what should investors know if they have invested in or are going to enter this market?This book will be very useful for scholars and researchers on China's angel market, as well as those "angels" who would like to tap its full potential.