9 citations · 12 across the 4 of their papers we have counts for
5 papers
Proceedings of the 2017 AdKDD & TargetAd Workshop
Abraham Bagherjeiran, Nemanja Djuric, Mihajlo Grbovic +4
Proceedings of the 2017 AdKDD and TargetAd Workshop held in conjunction with the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining Halifax, Nova Scotia, Canada.
The Apps You Use Bring The Blogs to Follow
Yue Shi, Erheng Zhong, Suju Rajan +3
We tackle the blog recommendation problem in Tumblr for mobile users in this paper. Blog recommendation is challenging since most mobile users would suffer from the cold start when…
Learning Optimal Card Ranking from Query Reformulation
Liangjie Hong, Yue Shi, Suju Rajan
Mobile search has recently been shown to be the major contributor to the growing search market. The key difference between mobile search and desktop search is that information pres…
Geometry Aware Mappings for High Dimensional Sparse Factors
Avradeep Bhowmik, Nathan Liu, Erheng Zhong +2
While matrix factorisation models are ubiquitous in large scale recommendation and search, real time application of such models requires inner product computations over an intracta…
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC
Sungjin Ahn, Anoop Korattikara, Nathan Liu +2
Despite having various attractive qualities such as high prediction accuracy and the ability to quantify uncertainty and avoid over-fitting, Bayesian Matrix Factorization has not b…