Giving has been shown by many studies to be a social phenomenon. However, while people may desire to conform to the donation of others, it is unclear how fundraisers should take advantage of this. In this paper we conduct a field experiment in a workplace, in which employees are sent prominent...

Recommendation systems are an integral part of information filtering system in data science, that are widely used in order to identify the pattern a user would likely choose on the basis of the previous choices of the user as well as from studying the pattern in which others have chosen. For a...

The quality of recommendations based on any class of recommender systems may become poor if no or low quality data has been provided by users.This is a situation known as Cold Start problem, which typically happens when a new user registers to the system and no preference data is available for...

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...