Our paper with the title “PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy” is accepted and presented as short …
Our paper about privacy is accepted in RecSys 2019Read More »
Our paper titled “Personalized Novel and Explainable Matrix Factorization” is accepted in DKE journal from Elsevier. The abstract of the …
Our paper is accepted in Data & Knowledge Engineering Journal (DKE journal)Read More »
Proud of being recognised from AMiner as Most Influential Scholar in the last decade for my contributions to the field …
I will be the chair of the track for Recommender Systems in SAC conference in April 2019, Lemesos, Cyprus.
Our paper is accepted in the top-tier conference of ACM Intelligent User Interfaces 2019, Los Angeles, CA. The paper is …
I will present in WIMS conference on 25th of June 2018 a tutorial entitled Context-aware Recommender Systems based on Matrix/Tensor …
I will present a tutorial in ACM Summer School on Recommender Systems on August 25th 2017 in Bolzano. The topic …
I am very glad to present a tutorial about “Matrix and Tensor Decomposition Techniques in Recommender Systems” on September 19th …
Our new book on “Matrix and Tensor Factorization Techniques for Recommender Systems” is just published from SpringerBriefs.