Exploring YouPorn Categories, Tags, and Nicknames for Pleasant Recommendations

YouPorn is one of the largest providers of adult content on the web. Being free of charge, the video portal allows users besides watching to upload, categorize and comment on pornographic videos. With this position paper, we point out the challenges of analyzing the textual data offered with the videos. We report on first experiments and problems with our YouPorn dataset, which we extracted from the non-graphical content of the YP website. To gain some insights, we performed association rule mining on the video categories and tags, and investigated preferences of users based on their nickname. Hoping that future research will be able to build upon our initial experiences, we make the ready-to-use YP dataset publicly available.