Deepak Agarwal

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Dynamic knowledge tracing through data driven recency weights.

[BibT_eX]

[DOI]

Ryan Baker

Anupama Muraleedharan

Proceedings of the 13th International Conference on Educational Data Mining, 2020

DeText: A Deep Text Ranking Framework with BERT.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Continuous Monitoring and Development of an Intelligent Tutoring System through Data Mining.

[BibT_eX]

[DOI]

Haripriya Valayaputtur

Anupama Muraleedharan

Proceedings of the Tenth IEEE International Conference on Technology for Education, 2019

Deep Natural Language Processing for Search and Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Online Parameter Selection for Web-based Ranking Problems.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Contextual Derivation of Stable BKT Parameters for Analysing Content Efficacy.

[BibT_eX]

[DOI]

Nishant Babel

Ryan S. Baker

Proceedings of the 11th International Conference on Educational Data Mining, 2018

2017

Social Incentive Optimization in Online Social Networks.

[BibT_eX]

[DOI]

Guangde Chen

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

The Future of Artificially Intelligent Assistants.

[BibT_eX]

[DOI]

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Data-Driven Reserve Prices for Social Advertising Auctions at LinkedIn.

[BibT_eX]

[DOI]

Proceedings of the ADKDD'17, Halifax, NS, Canada, August 13 - 17, 2017, 2017

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Stuart Ambler

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

Tutorial: Lessons Learned from Building Real-life Recommender Systems.

[BibT_eX]

[DOI]

Xavier Amatriain

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Scout: A Point of Presence Recommendation System Using Real User Monitoring Data.

[BibT_eX]

[DOI]

Proceedings of the Passive and Active Measurement - 17th International Conference, 2016

GLMix: Generalized Linear Mixed Models For Large-Scale Response Prediction.

[BibT_eX]

[DOI]

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

An Empirical Study on Recommendation with Multiple Types of Feedback.

[BibT_eX]

[DOI]

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

Ranking Universities Based on Career Outcomes of Graduates.

[BibT_eX]

[DOI]

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

Recommendations in the context of a Social Network.

[BibT_eX]

Proceedings of the 21st International Conference on Management of Data, 2016

2015

Constrained Optimization for Homepage Relevance.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on World Wide Web Companion, 2015

Amazon Redshift and the Case for Simpler Data Warehouses.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

Personalizing LinkedIn Feed.

[BibT_eX]

[DOI]

Pannagadatta Shivaswamy

Hsiao-Ping Tseng

Jaewon Yang

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Scaling Machine Learning and Statistics for Web Applications.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014

Introduction to the Special Issue on Online Advertising.

[BibT_eX]

[DOI]

Dou Shen

ACM Trans. Intell. Syst. Technol., 2014

LASER: a scalable response prediction platform for online advertising.

[BibT_eX]

[DOI]

Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014

Budget pacing for targeted online advertisements at LinkedIn.

[BibT_eX]

[DOI]

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

Activity ranking in LinkedIn feed.

[BibT_eX]

[DOI]

Pannagadatta Shivaswamy

Ajit Singh

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2013

Introduction to the Special Issue ACM SIGKDD 2012.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2013

Content recommendation on web portals.

[BibT_eX]

[DOI]

Commun. ACM, 2013

Organizational overlap on social networks and its applications.

[BibT_eX]

[DOI]

Proceedings of the 22nd International World Wide Web Conference, 2013

Estimating sharer reputation via social data calibration.

[BibT_eX]

[DOI]

Jaewon Yang

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Automatic ad format selection via contextual bandits.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Recommending items to users: an explore/exploit perspective.

[BibT_eX]

[DOI]

Proceedings of the 1st workshop on User engagement optimization, 2013

Computational advertising: the linkedin way.

[BibT_eX]

[DOI]

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

Parallel matrix factorization for binary response.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Big Data (IEEE BigData 2013), 2013

2012

Targeting converters for new campaigns through factor models.

[BibT_eX]

[DOI]

Sandeep Pandey

Vanja Josifovski

Proceedings of the 21st World Wide Web Conference 2012, 2012

Finding the right consumer: optimizing for conversion in display advertising campaigns.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Fast top-k retrieval for model based recommendation.

[BibT_eX]

[DOI]

Maxim Gurevich

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Personalized click shaping through lagrangian duality for online recommendation.

[BibT_eX]

[DOI]

Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Multi-faceted ranking of news articles using post-read actions.

[BibT_eX]

[DOI]

Xuanhui Wang

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

Linear-Time Estimators for Propensity Scores.

[BibT_eX]

[DOI]

Lihong Li

Alexander J. Smola

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Discussion of "Learning Scale Free Networks by Reweighted L1 regularization".

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Latent OLAP: data cubes over latent variables.

[BibT_eX]

[DOI]

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Generalizing matrix factorization through flexible regression priors.

[BibT_eX]

[DOI]

Krishna Prasad Chitrapura

Proceedings of the 2011 ACM Conference on Recommender Systems, 2011

Response prediction using collaborative filtering with hierarchies and side-information.

[BibT_eX]

[DOI]

Aditya Krishna Menon

Sachin Garg

Nagaraj Kota

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Multiple domain user personalization.

[BibT_eX]

[DOI]

Yucheng Low

Alexander J. Smola

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Temporal multi-hierarchy smoothing for estimating rates of rare events.

[BibT_eX]

[DOI]

Nagaraj Kota

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Localized factor models for multi-context recommendation.

[BibT_eX]

[DOI]

Bo Long

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Click shaping to optimize multiple objectives.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Personalized Recommendation of User Comments via Factor Models.

[BibT_eX]

[DOI]

Bo Pang

Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

2010

fLDA: matrix factorization through latent dirichlet allocation.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Web Search and Web Data Mining, 2010

Forecasting high-dimensional data.

[BibT_eX]

[DOI]

Datong Chen

Long-ji Lin

Jayavel Shanmugasundaram

Erik Vee

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2010

Fast online learning through offline initialization for time-sensitive recommendation.

[BibT_eX]

[DOI]

Pradheep Elango

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

Estimating rates of rare events with multiple hierarchies through scalable log-linear models.

[BibT_eX]

[DOI]

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Spatio-temporal models for estimating click-through rate.

[BibT_eX]

[DOI]

Pradheep Elango

Proceedings of the 18th International Conference on World Wide Web, 2009

A spatio-temporal approach to collaborative filtering.

[BibT_eX]

[DOI]

Zhengdong Lu

Inderjit S. Dhillon

Proceedings of the 2009 ACM Conference on Recommender Systems, 2009

Regression-based latent factor models.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Explore/Exploit Schemes for Web Content Optimization.

[BibT_eX]

[DOI]

Pradheep Elango

Proceedings of the ICDM 2009, 2009

Movie Recommender: Semantically Enriched Unified Relevance Model for Rating Prediction in Collaborative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Information Retrieval, 2009

Translating relevance scores to probabilities for contextual advertising.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2008

Contextual advertising by combining relevance with click feedback.

[BibT_eX]

[DOI]

Deepayan Chakrabarti

Vanja Josifovski

Proceedings of the 17th International Conference on World Wide Web, 2008

Fast Computation of Posterior Mode in Multi-Level Hierarchical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Online Models for Content Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Detecting anomalies in cross-classified streams: a Bayesian approach.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2007

Bandits for Taxonomies: A Model-based Approach.

[BibT_eX]

[DOI]

Proceedings of the Seventh SIAM International Conference on Data Mining, 2007

Predictive discrete latent factor models for large scale dyadic data.

[BibT_eX]

[DOI]

Srujana Merugu

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Efficient and effective explanation of change in hierarchical summaries.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Estimating rates of rare events at multiple resolutions.

[BibT_eX]

[DOI]

Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2007

Transformation Invariant Robust Shape Analysis.

[BibT_eX]

Proceedings of the 2007 International Conference on Image Processing, 2007

Multi-armed bandit problems with dependent arms.

[BibT_eX]

[DOI]

Sandeep Pandey

Deepayan Chakrabarti

Proceedings of the Machine Learning, 2007

Parsimonious Explanations of Change in Hierarchical Data.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Data Engineering, 2007

2006

FPGA Dynamic Power Minimization through Placement and Routing Constraints.

[BibT_eX]

[DOI]

EURASIP J. Embed. Syst., 2006

The hunting of the bump: on maximizing statistical discrepancy.

[BibT_eX]

[DOI]

Suresh Venkatasubramanian

Jeff M. Phillips

Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

Spatial scan statistics: approximations and performance study.

[BibT_eX]

[DOI]