Hierarchical Label Propagation and Discovery for Machine Generated Email. | 12 | 0.59 | 2016 |
Learning to Extract Local Events from the Web | 14 | 0.75 | 2015 |
Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails | 11 | 0.63 | 2015 |
High Performance Latent Variable Models | 2 | 0.68 | 2015 |
Taxonomy discovery for personalized recommendation | 22 | 0.90 | 2014 |
Scalable K-Means by ranked retrieval | 14 | 0.60 | 2014 |
Scaling distributed machine learning with the parameter server | 119 | 4.22 | 2014 |
Up next: retrieval methods for large scale related video suggestion | 15 | 1.39 | 2014 |
Focused matrix factorization for audience selection in display advertising | 5 | 0.61 | 2013 |
Top-k Publish-Subscribe for Social Annotation of News. | 0 | 0.34 | 2013 |
Towards a robust modeling of temporal interest change patterns for behavioral targeting | 1 | 0.35 | 2013 |
Distributed large-scale natural graph factorization | 102 | 4.55 | 2013 |
Top-k publish-subscribe for social annotation of news | 24 | 0.94 | 2013 |
Latent factor models with additive and hierarchically-smoothed user preferences | 20 | 0.95 | 2013 |
Supercharging Recommender Systems using Taxonomies for Learning User Purchase Behavior. | 0 | 0.34 | 2012 |
Web-scale user modeling for targeting | 24 | 1.10 | 2012 |
Targeting converters for new campaigns through factor models | 2 | 0.37 | 2012 |
Supercharging recommender systems using taxonomies for learning user purchase behavior | 27 | 1.23 | 2012 |
Finding the right consumer: optimizing for conversion in display advertising campaigns | 8 | 0.61 | 2012 |
Efficiently evaluating graph constraints in content-based publish/subscribe | 3 | 0.40 | 2011 |
Web Page Summarization for Just-in-Time Contextual Advertising | 7 | 0.55 | 2011 |
Retrieval models for audience selection in display advertising | 8 | 0.52 | 2011 |
Scalable distributed inference of dynamic user interests for behavioral targeting | 93 | 3.62 | 2011 |
Evaluation strategies for top-k queries over memory-resident inverted indexes | 29 | 0.92 | 2011 |
Evaluation Strategies for Top-k Queries over Memory-Resident Inverted Indexes. | 0 | 0.34 | 2011 |
Generalized link suggestions via web site clustering | 2 | 0.43 | 2011 |
Factorization-based lossless compression of inverted indices | 3 | 0.42 | 2011 |
Efficiently encoding term co-occurrences in inverted indexes | 7 | 0.45 | 2011 |
Bid generation for advanced match in sponsored search | 7 | 0.66 | 2011 |
User modeling for web applications | 1 | 0.35 | 2011 |
Information retrieval challenges in computational advertising | 1 | 0.34 | 2011 |
Introduction to display advertising: a half-day tutorial | 1 | 0.41 | 2011 |
Measuring the reusability of test collections | 16 | 0.67 | 2010 |
The anatomy of an ad: structured indexing and retrieval for sponsored search | 7 | 0.48 | 2010 |
Automatic generation of bid phrases for online advertising | 22 | 0.96 | 2010 |
Estimating advertisability of tail queries for sponsored search | 16 | 0.62 | 2010 |
Competing for users' attention: on the interplay between organic and sponsored search results | 13 | 0.62 | 2010 |
Web Advertising | 0 | 0.34 | 2010 |
Exploiting site-level information to improve web search | 11 | 0.63 | 2010 |
Using landing pages for sponsored search ad selection | 20 | 0.80 | 2010 |
Nearest-neighbor caching for content-match applications | 32 | 1.30 | 2009 |
What happens after an ad click?: quantifying the impact of landing pages in web advertising | 13 | 1.34 | 2009 |
Classifying search queries using the Web as a source of knowledge | 25 | 1.06 | 2009 |
Translating relevance scores to probabilities for contextual advertising | 3 | 0.39 | 2009 |
Context transfer in search advertising | 9 | 0.64 | 2009 |
Cross-language query classification using web search for exogenous knowledge | 3 | 0.50 | 2009 |
A search-based method for forecasting ad impression in contextual advertising | 8 | 0.70 | 2009 |
Online expansion of rare queries for sponsored search | 67 | 1.96 | 2009 |
Supporting sub-document updates and queries in an inverted index | 1 | 0.36 | 2008 |
First workshop on targeting and ranking for online advertising | 4 | 0.56 | 2008 |