I am pleased to inform you that our manuscript, “Session-aware News Recommendations using Random Walks on Time-evolving Heterogeneous Information Networks”, has […]
Category: news
I’m happy to announce that three of my books, “Matrix and Tensor Factorization Techniques for Recommender Systems”, Social Tagging Systems
Three of my books made it to the Best Recommender System Books of All TimeRead More »
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