На заседание на семинара “ИНФОРМАТИЧНО МОДЕЛИРАНЕ”, на 27.04.2018, петък, от 15:00 часа, в зала 578 на ИМИ, доклад на тема: "Exploiting Additional Information for Improving the Performance of Collaborative Filtering Recommendations" ще изнесе проф. Иван Ганчев - ИМИ-БАН, University of Limerick, Limerick, Ireland Резюме: This presentation will cover novel approaches for collaborative filtering (CF), as the most popular and widely deployed technique used in recommender systems, by utilizing intrinsic information existing within the user-item rating matrix, or besides it, to build effective and efficient recommendation tools for assisting users in finding high-quality personalized service/item recommendations from massive information resources. Two lines of research are presented, addressing the main problems CF suffers from, i.e. the scalability, data sparsity, and cold-start. In first, two novel types [...]