With the advances in digital media processing technologies and the tremendous growth in the amount of digital media that have been created, new artworks are becoming possible and drawing much attention from researchers, industry, and consumers. A related emerging research area is the evaluation of such multimedia artworks by machine learning techniques. We call this research area “attractiveness computing.” Attractiveness computing is made possible by the great accumulation of such multimedia artworks and of consumers' responses. In this paper, we review existing research on multimedia artworks analysis and attractiveness computing.