Popularity information is usually thought to reinforce existing sales trends by encour- aging customers to ock to mainstream products with broad appeal. We suggest a countervailing market force: popularity information may bene t niche products with narrow appeal disproportionately, because the same level of popularity implies higher quality for narrow-appeal products than for broad-appeal products. We examine this hypothesis empirically using eld experiment data from a web site that lists wed- ding service vendors. Our ndings are consistent with this hypothesis: narrow-appeal vendors receive more visits than equally popular broad-appeal vendors after the intro- duction of popularity information
This paper examines the effect of recommender systems on the diversity of sales. Two anecdotal views...
Ranking algorithms play a crucial role in online platforms ranging from search engines to recommende...
Algorithms that favor popular items are used to help us select among many choices, from top-ranked s...
Abstract Does popularity information (i.e., information on the frequency with which a product has be...
Popularity information is usually thought to reinforce existing sales trends by encouraging customer...
The internet has made it easier for customers to find and buy a wide variety of products. This may l...
Previous research suggests that consumers tend to use indications of products’ popularity to a great...
Popularity information is usually thought to have a great impact on individual’s decision making and...
To help consumers make choices from a large number of alternatives, e-commerce platforms provide the...
Consumers often look at the behaviour of others to inform their own choices. As a result, many of co...
We investigate the impact of collaborative filtering recommender algorithms (e.g., Amazon\u27s “Cust...
We investigate the impact of several recommender algorithms (e.g., Amazon.com\u27s “Consumers who bo...
A large body of chiefly laboratory research has attempted to demonstrate that people can exhibit cho...
Although displaying local popularity is wildly adopted by major platforms, the actual effect of such...
Deal popularity indicates the popularity of a product or service within a specific deal duration and...
This paper examines the effect of recommender systems on the diversity of sales. Two anecdotal views...
Ranking algorithms play a crucial role in online platforms ranging from search engines to recommende...
Algorithms that favor popular items are used to help us select among many choices, from top-ranked s...
Abstract Does popularity information (i.e., information on the frequency with which a product has be...
Popularity information is usually thought to reinforce existing sales trends by encouraging customer...
The internet has made it easier for customers to find and buy a wide variety of products. This may l...
Previous research suggests that consumers tend to use indications of products’ popularity to a great...
Popularity information is usually thought to have a great impact on individual’s decision making and...
To help consumers make choices from a large number of alternatives, e-commerce platforms provide the...
Consumers often look at the behaviour of others to inform their own choices. As a result, many of co...
We investigate the impact of collaborative filtering recommender algorithms (e.g., Amazon\u27s “Cust...
We investigate the impact of several recommender algorithms (e.g., Amazon.com\u27s “Consumers who bo...
A large body of chiefly laboratory research has attempted to demonstrate that people can exhibit cho...
Although displaying local popularity is wildly adopted by major platforms, the actual effect of such...
Deal popularity indicates the popularity of a product or service within a specific deal duration and...
This paper examines the effect of recommender systems on the diversity of sales. Two anecdotal views...
Ranking algorithms play a crucial role in online platforms ranging from search engines to recommende...
Algorithms that favor popular items are used to help us select among many choices, from top-ranked s...