A low-order markov model integrating long-distance histories for collaborative recommender systems
Geoffray Bonnin, Armelle Brun, Anne Boyer · 2009
Recommender systems provide users with pertinent resources according to their context and their profiles, by applying statistical and knowledge discovery techniques. This paper describes a new approach of generating suitable recommendations based on the active user's navigation stream, by considering long and short-distance resources in the history with a tractable model.