I am pleased to inform you that our manuscript, “Session-aware News Recommendations using Random Walks on Time-evolving Heterogeneous Information Networks”, has […]
I’m happy to announce that three of my books, “Matrix and Tensor Factorization Techniques for Recommender Systems”, Social Tagging Systems
Our paper with the title “PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy” is accepted and presented as short
Our paper titled “Personalized Novel and Explainable Matrix Factorization” is accepted in DKE journal from Elsevier. The abstract of the
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.