Happy to share the slides for my tutorial on “Similarity Search, Recommendation and Explainability over Graphs in Different Domains: Social […]
I am very happy for being enlisted in the top 2% of the most cited scientists in the world. 🙂
Happy to announce that our paper entitled “Recommending the Video to Watch Next: An Offline and Online Evaluation at YOUTV.de“has been
Our paper is accepted in the ACM RecSys 2020 conferenceRead More »
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
Three of my books made it to the Best Recommender System Books of All TimeRead 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