Recommender Systems: An Introduction . Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich
ISBN: 0521493366,9780521493369 | 353 pages | 9 Mb
Recommender Systems: An Introduction Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich
Publisher: Cambridge University Press
The paradox of choice; What is a Recommender System? Not long ago (this year, actually), with Sherry we wrote a book Chapter on recommender systems focusing on sources of knowledge and evaluation metrics. This is my first post here and I´ll let my introduction for a later post, but I´d like to share a very scary cool video that explains a bit of what I may be very promising for the recommender systems and vision. A model of a trust-based recommendation system on a social network. Introduction: For this blog assignment, I summarized an interesting academic paper I found using Google Scholar. Introduction to Recommender Systems. However, today's recommender system approaches almost exclusively focus on code reuse and do not consider modeling tasks in model-driven development. The recommender problem; General scheme of a RS; Tools of the trade. Manning, C.D., Raghavan, P., Schtze, H.: Introduction to Information Retrieval. In section 7.4 we explain MAP: Mean Average Precision. Following the post on evaluation metrics in your blog, we would be glad to help you testing new evaluation metrics for GraphChi.