Recommender systems are becoming integral to how consumers discovermedia. The value that recommenders offer is personalization: inenvironments with many product choices, recommenders personalize thebrowsing and consumption experience to each user's taste. Popularapplications include product...

This paper examines the effect of recommender systems on the diversityof sales. Two anecdotal views exist about such effects. Some believerecommenders help consumers discover new products and thus increasesales diversity. Others believe recommenders only reinforce thepopularity of already...

This paper examines the effect of recommender systems on the diversity of sales. Two anecdotal views exist about such effects. Some believe recommenders help consumers discover new products and thus increase sales diversity. Others believe recommenders only reinforce the popularity of...

We investigate the effect of social media content on customer engagement using a large-scale field study on Facebook. We content-code more than 100,000 unique messages across 800 companies engaging with users on Facebook using a combination of Amazon Mechanical Turk and state-of-the-art Natural...

Many statistical procedures assume that the underlying data-generating process involves Gaussian errors. Among the popular tests for normality, only the Kolmogorov--Smirnov test has a graphical representation. Alternative tests, such as the Shapiro--Wilk test, offer little insight as to how the...

Background:It has become common practice to analyze randomized experiments using linear regression with covariates. Improved precision of treatment effect estimates is the usual motivation. In a series of important articles, David Freedman showed that this approach can be badly flawed. Recent...