Learning to rank for personalized news recommendation

Andreeva E., Ignatov D. I., Grachev A. et al. In bk.: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science. Vol. 11179. Berlin: Springer, 2018. P. 201-210.

Добавлено: 23 января 2019

Ignatov D. I., Sarwar S. M., Hasan M. et al. In bk.: Analysis of Images, Social Networks and Texts. 4th International Conference, AIST 2015, Yekaterinburg, Russia, April 9–11, 2015, Revised Selected Papers. Vol. 542: Series: Communications in Computer and Information Science. Switzerland: Springer, 2015.

Добавлено: 24 ноября 2015

Proceedings of the 2015 International ACM Recommender Systems Challenge

NY: ACM, 2015.

Добавлено: 24 февраля 2016

Co-authorship Network Embedding and Recommending Collaborators via Network Embedding

Makarov I., Gerasimova O., Sulimov P. et al. In bk.: Proceedings of Analysis of Images, Social Networks and Texts – 7th International Conference, AIST 2018, Moscow, Russia, July 5-7, 2018, Revised Selected Papers. Lecture Notes in Computer Science. Vol. 11179. Berlin: Springer, 2018. P. 32-38.

Co-authorship networks contain invisible patterns of collaboration among researchers. The process of writing joint paper can depend of different factors, such as friendship, common interests, and policy of university. We show that, having a temporal co-authorship network, it is possible to predict future publications. We solve the problem of recommending collaborators from the point of link prediction using graph embedding, obtained from co-authorship network. We run experiments on data from HSE publications graph and compare it with relevant models.

Добавлено: 5 сентября 2018

Application of Kullback-Leibler divergence for short-term user interest detection

Maxim Borisyak, Zykov R., Noskov A. arxiv :: cs :: Cornell University. arxiv :: cs :: Cornell University. Cornell University, 2015

Добавлено: 9 ноября 2015

12th ACM Recommender Systems Challenge Workshop, RecSys Challenge 2018; Vancouver; Canada

Vancouver: ACM, 2018.

Добавлено: 24 января 2019