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4 papers · 1 filter
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…
Noisy Inductive Matrix Completion Under Sparse Factor Models
Akshay Soni, Troy Chevalier, Swayambhoo Jain
Inductive Matrix Completion (IMC) is an important class of matrix completion problems that allows direct inclusion of available features to enhance estimation capabilities. These m…
Describing and Understanding Neighborhood Characteristics through Online Social Media
Mohamed Kafsi, Henriette Cramer, Bart Thomee +1
Geotagged data can be used to describe regions in the world and discover local themes. However, not all data produced within a region is necessarily specifically descriptive of tha…
Large scale canonical correlation analysis with iterative least squares
Yichao Lu, Dean P. Foster
Canonical Correlation Analysis (CCA) is a widely used statistical tool with both well established theory and favorable performance for a wide range of machine learning problems. Ho…