Josh Attenberg

Publication Activity (10 Years)

Years Active: 2008-2016
Publications (10 Years): 1

Top Topics

Learning To Rank

Recommender Systems

Low Level Visual Features

Top Venues

WWW (Companion Volume)

Publications

Corey Lynch, Kamelia Aryafar, Josh Attenberg
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. KDD (2016)
Corey Lynch, Kamelia Aryafar, Josh Attenberg
Images Don't Lie: Transferring Deep Visual Semantic Features to Large-Scale Multimodal Learning to Rank. CoRR (2015)
Rob Hall, Josh Attenberg
Fast and Accurate Maximum Inner Product Recommendations on Map-Reduce. WWW (Companion Volume) (2015)
Kamelia Aryafar, Corey Lynch, Josh Attenberg
Exploring User Behaviour on Etsy through Dominant Colors. ICPR (2014)
Diane J. Hu, Rob Hall, Josh Attenberg
Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce. KDD (2014)
Josh Attenberg, Foster J. Provost
Online active inference and learning. KDD (2011)
Shuai Ding, Josh Attenberg, Ricardo Baeza-Yates, Torsten Suel
Batch query processing for web search engines. WSDM (2011)
Josh Attenberg, Panagiotis G. Ipeirotis, Foster J. Provost
Beat the Machine: Challenging Workers to Find the Unknown Unknowns. Human Computation (2011)
Shuai Ding, Josh Attenberg, Torsten Suel
Scalable techniques for document identifier assignment ininverted indexes. WWW (2010)
Josh Attenberg, Foster J. Provost
Inactive learning?: difficulties employing active learning in practice. SIGKDD Explor. 12 (2) (2010)
Josh Attenberg, Prem Melville, Foster J. Provost
A Unified Approach to Active Dual Supervision for Labeling Features and Examples. ECML/PKDD (1) (2010)
Josh Attenberg, Foster J. Provost
Why label when you can search?: alternatives to active learning for applying human resources to build classification models under extreme class imbalance. KDD (2010)
Kilian Q. Weinberger, Anirban Dasgupta, John Langford, Alexander J. Smola, Josh Attenberg
Feature hashing for large scale multitask learning. ICML (2009)
Kilian Q. Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alexander J. Smola
Feature Hashing for Large Scale Multitask Learning CoRR (2009)
Josh Attenberg, Sandeep Pandey, Torsten Suel
Modeling and predicting user behavior in sponsored search. KDD (2009)
Josh Attenberg, Torsten Suel
Cleaning search results using term distance features. AIRWeb (2008)
Qingqing Gan, Josh Attenberg, Alexander Markowetz, Torsten Suel
Analysis of geographic queries in a search engine log. LocWeb (2008)