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Collaborative filtering (CF) is the basic method for recommendation with implicit feedback. Recently, various state-of-the-art CF integrates graph neural networks. However, they often suffer from popularity bias, causing recommendations to deviate from ...

Collaborative filtering (CF) is the most fundamental technique in recommender systems, which reveals user preference by implicit feedback. Generally, binary cross-entropy or bayesian personalized ranking are usually employed as the loss function ...

Nowadays, there is an increasing concern in machine learning about the causes underlying unfair decision making, that is, algorithmic decisions discriminating some groups over others, especially with groups that are defined over protected ...

Computer technology is often designed in technology hubs in Western countries, invariably making it “WEIRD”, because it is based on the intuition, knowledge, and values of people who are Western, Educated, Industrialized, Rich, and Democratic. ...

While social media mining continues to be an active area of research, obtaining data for research is a perennial problem. Even more, obtaining unbiased data is a challenge for researchers who wish to study human behavior, and not technical artifacts ...

The utility of online methods of data collection has led to the rapid adoption of Internet-based surveys for social sciences research. Given the potential problems of noncoverage and nonresponse when making use of this data collection method, the ...

A growing number of companies use mobility information in their day-to-day business. One requirement thereby is that inference about population-wide mobility patterns can be made. Therefore, it is not only important to find mobility patterns in a given ...