Online platforms attract hundreds of millions of users, who post regularly on many topics. However, the algorithms used to direct them to content have faced criticism. HKUST’s Jia Liu and a colleague examine the phenomenon of “popularity bias” in recommender systems, taking advantage of a quasi-experiment conducted by China’s biggest online knowledge-sharing ... Read More

Customers often search for information on products before making their purchase decisions. With the emergence of online review platforms, this has become quicker and easier than ever, such that companies must manage customer search to attract and retain customers. How might the common marketing strategy of bundling—where multiple goods or services are sold ... Read More