31 citations · 34 across the 3 of their papers we have counts for
4 papers
Addressing Class-Imbalance Problem in Personalized Ranking
Lu Yu, Shichao Pei, Chuxu Zhang +4
Pairwise ranking models have been widely used to address recommendation problems. The basic idea is to learn the rank of users' preferred items through separating items into \emph{…
Deeply Supervised Semantic Model for Click-Through Rate Prediction in Sponsored Search
Jelena Gligorijevic, Djordje Gligorijevic, Ivan Stojkovic +3
In sponsored search it is critical to match ads that are relevant to a query and to accurately predict their likelihood of being clicked. Commercial search engines typically use ma…
Deep Character-Level Click-Through Rate Prediction for Sponsored Search
Bora Edizel, Amin Mantrach, Xiao Bai
Predicting the click-through rate of an advertisement is a critical component of online advertising platforms. In sponsored search, the click-through rate estimates the probability…
Medusa: An Efficient Cloud Fault-Tolerant MapReduce
Pedro A. R. S. Costa, Xiao Bai, Fernando M. V. Ramos +1
Applications such as web search and social networking have been moving from centralized to decentralized cloud architectures to improve their scalability. MapReduce, a programming…