In document classification and other natural language processing applications, having a good measure of the similarity of two texts can be a valuable building block. Ideally, such a measure would capture semantic information. Cosine similarity on bag-of-words vectors is known to do well in practice, but it inherently cannot capture when documents say the same thing in completely different words. …
Rank aggregation is a problem with many important applications and naive approaches to it go wrong in subtle ways. Let’s say that your national Quidditch league is dominated by five major wizard sports newspapers. Yes, the ones with moving images and everything. Every week after the games, each of them publishes a ranking of the star players. For now, let’s suppose that the set of players under investigation is always the same, as the problem becomes a bit more complicated otherwise. …
Wouldn’t you like to manage your academic publications list easily
within the context of your static website? Without resorting to external
services, or to software like bibtex2html, which is very nice but will
then require restyling to fit your templates?