Recommenders exemplify consumers' growing power to focus on what they like and filter out all else. "This becomes telling when we consider that recommenders increasingly affect not only the music and movies we see but also, through customized newspapers, the news and political views we are exposed to," says Fleder, adding that, as legal scholar Cass Sunstein notes, filtering and focusing on people's interests creates a diverse society with many points of view, but commonality creates one whose members can understand each other.

The above is from a news article about the subject paper:

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 already popular products. This paper is a first attempt to reconcile these seemingly incompatible views. We explore the question in two ways. First, modeling recommender systems analytically allows us to explore their path dependent effects. Second, turning to simulation, we increase the realism of our results by combining choice models with actual implementations of recommender systems. We arrive at four main results. One, some common recommenders lead to a net reduction in average sales diversity. Because common recommenders (e.g., collaborative filters) recommend products based on sales and ratings, they cannot recommend products with limited historical data, even if they would be rated favorably. In turn, these recommenders can create a rich-get-richer effect for popular products and vice-versa for unpopular ones. This finding is often surprising to consumers who express that recommendations have helped them discover new products. In line with this, result two shows it is possible for individual-level diversity to increase but aggregate diversity to decrease; recommenders can push each person to new products, but they often push us toward the same new products. Result three finds that recommenders intensify the effects of chance events on market outcomes. At the product level, recommenders can 'create hits' out of products with early, high sales due to chance alone. At the market level, in individual sample paths it is possible to observe more diversity, even though on average diversity often decreases. Four, we show how basic design choices affect the outcome. Thus, managers can choose recommender designs that are more consistent with their sales or product assortment strategies.

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