KDD

Attribute Extraction from Product Titles in eCommerce

Ajinkya More

Comments Accepted at the Workshop on Enterprise Intelligence, KDD 2016

Applying Deep Learning to Basketball Trajectories

Rajiv Shah, Rob Romijnders

Comments KDD 2016, Large Scale Sports Analytic Workshop

QPass: a Merit-based Evaluation of Soccer Passes

Laszlo Gyarmati, Rade Stanojevic

Comments 2016 ACM KDD Workshop on Large-Scale Sports Analytics

The Limits of Popularity-Based Recommendations, and the Role of Social Ties

Marco Bressan, Stefano Leucci, Alessandro Panconesi, Prabhakar Raghavan, Erisa Terolli

Comments 10 pages, 9 figures, KDD 2016

node2vec: Scalable Feature Learning for Networks

Aditya Grover, Jure Leskovec

Comments In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks

Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara, Lise Getoor

Comments Presented at SIGKDD 12th International Workshop on Mining and Learning with Graphs (MLG'16)

TRIÈST: Counting Local and Global Triangles in Fully-dynamic Streams with Fixed Memory Size

Lorenzo De Stefani, Alessandro Epasto, Matteo Riondato, Eli Upfal

Comments 49 pages, 7 figures, extended version of the paper appeared at ACM KDD'16

FLASH: Fast Bayesian Optimization for Data Analytic Pipelines

Yuyu Zhang, Mohammad Taha Bahadori, Hang Su, Jimeng Sun

Comments 21 pages, KDD 2016

Gender and Interest Targeting for Sponsored Post Advertising at Tumblr

Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Ananth Nagarajan

Comments 10 pages, 9 figures, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia

Journal ref Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia

E-commerce in Your Inbox: Product Recommendations at Scale

Mihajlo Grbovic, Vladan Radosavljevic, Nemanja Djuric, Narayan Bhamidipati, Jaikit Savla, Varun Bhagwan, Doug Sharp

Comments 10 pages, 12 figures, Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia

Journal ref Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2015), Sydney, Australia

Machine Learning Across Cultures: Modeling the Adoption of Financial Services for the Poor

Muhammad Raza Khan, Joshua E. Blumenstock

Comments This workshop paper summarizes results in a longer paper to be published in the proceedings of KDD 2016

Scalable Partial Least Squares Regression on Grammar-Compressed Data Matrices

Yasuo Tabei, Hiroto Saigo, Yoshihiro Yamanishi, Simon J. Puglisi

Comments To be appeared in the Proceedings of KDD'16

Assessing Human Error Against a Benchmark of Perfection

Ashton Anderson, Jon Kleinberg, Sendhil Mullainathan

Comments KDD 2016; 10 pages

Smart Reply: Automated Response Suggestion for Email

Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, Laszlo Lukacs, Marina Ganea, Peter Young, Vivek Ramavajjala

Comments Accepted to KDD 2016

The Infinity Mirror Test for Analyzing the Robustness of Graph Generators

Salvador Aguinaga, Tim Weninger

Comments 9 pages, 7 figures, accepted to 2016 KDD Workshop on Mining and Learning with Graphs (KDD-MLG)

XGBoost: A Scalable Tree Boosting System

Tianqi Chen, Carlos Guestrin

Comments KDD'16 changed all figures to type1

Robust Influence Maximization

Wei Chen, Tian Lin, Zihan Tan, Mingfei Zhao, Xuren Zhou

Comments 12 pages, 4 figures, Technical Report, contains proofs for the paper appeared in KDD'2016

DopeLearning: A Computational Approach to Rap Lyrics Generation

Eric Malmi, Pyry Takala, Hannu Toivonen, Tapani Raiko, Aristides Gionis

Comments This is a pre-print of an article appearing at KDD'16

Unbounded Human Learning: Optimal Scheduling for Spaced Repetition

Siddharth Reddy, Igor Labutov, Siddhartha Banerjee, Thorsten Joachims

Comments Accepted to the ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2016

Smart broadcasting: Do you want to be seen?

Mohammad Reza Karimi, Erfan Tavakoli, Mehrdad Farajtabar, Le Song, Manuel Gomez-Rodriguez

Comments To appear in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), San Francisco (CA, USA), 2016

Convex Optimization for Linear Query Processing under Approximate Differential Privacy

Ganzhao Yuan, Yin Yang, Zhenjie Zhang, Zhifeng Hao

Comments to appear in ACM SIGKDD 2016

Comparative Study of Deep Learning Software Frameworks

Soheil Bahrampour, Naveen Ramakrishnan, Lukas Schott, Mohak Shah

Comments Submitted to KDD 2016 with TensorFlow results added. At the time of submission to KDD, TensorFlow was available only with cuDNN v.2 and thus its performance is reported with that version

Firebird: Predicting Fire Risk and Prioritizing Fire Inspections in Atlanta

Michael Madaio, Shang-Tse Chen, Oliver L. Haimson, Wenwen Zhang, Xiang Cheng, Matthew Hinds-Aldrich, Duen Horng Chau, Bistra Dilkina

Comments 10 pages, 4 figures, submitted to KDD 2016

Latent Skill Embedding for Personalized Lesson Sequence Recommendation

Siddharth Reddy, Igor Labutov, Thorsten Joachims

Comments Under review by the ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Fast Online k-nn Graph Building

Thibault Debatty, Pietro Michiardi, Wim Mees

Comments Submitted to ACM SIGKDD 2016

Low-Rank Factorization of Determinantal Point Processes for Recommendation

Mike Gartrell, Ulrich Paquet, Noam Koenigstein

Comments 10 pages, 4 figures. Submitted to KDD 2016

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

Xiang Ren, Wenqi He, Meng Qu, Clare R. Voss, Heng Ji, Jiawei Han

Comments Submitted to KDD 2016. 11 pages

Data Science at Udemy: Agile Experimentation with Algorithms

Larry Wai

Comments 6 pages, submitted to KDD 2016

Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams

Abhinav Maurya, Kenton Murray, Yandong Liu, Chris Dyer, William W. Cohen, Daniel B. Neill

Comments 10 pages, 4 figures, KDD 2016 submission

Large scale multi-objective optimization: Theoretical and practical challenges

Kinjal Basu, Ankan Saha, Shaunak Chatterjee

Comments 10 pages, 2 figures, KDD'16 Submitted Version