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This four-volume set constitutes the post-conference proceedings of the... Læs mere
This four-volume set constitutes the post-conference proceedings of the... Læs mere
This four-volume set constitutes the post-conference proceedings of the... Læs mere
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th... Læs mere
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th... Læs mere
The 6-volume set LNAI 14645-14650 constitutes the proceedings of the 28th... Læs mere
This proceedings constitutes selected papers from the Workshops KGMA and... Læs mere
Taking advantage of social media features, research in this nascent field spearheads the search for a way to provide provenance data to social media users, thus leveraging social media itself by mining it for the provenance data.
We focus our attention on methods based on latent factors, such as mixture models, probabilistic matrix factorization, and topic models, for explicit and implicit preference data.