Stock Market fluctuates every minute due to supply and demand. It depends on whether the people want to buy or sell a particular stock that the market price will go up or down. And the news is a big factor of stock information which helps people to make the decisions. In this paper, we survey...

Here we present a novel approach to how the Chief Investment Office (CIO) can select investment strategies to allocate to and to decide the percentage allocation to them. The method that we outline here is a continuation of our previous research on recommender systems science[13]. The aim of...

The recent development in the Internet technology is very useful for the growth of enterprises. Almost every organization is on the internet and many of them have started their business through e-commerce. Organizations collect information about customers and their business transactions which...

Decision makers in health, public policy, technology, and social science are increasingly interested in going beyond ‘one-size-fits-all' policies to personalized ones. Thus, they are faced with the problem of estimating heterogeneous causal effects. Unfortunately, estimating heterogeneous...

Internet recommender systems are popular in contexts that include heterogeneous consumers and numerous products. In such contexts, product features that adequately describe all the products are often not readily available. Content-based systems therefore rely on user-generated content such as...