Verizon Media

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Verizon Media is a subsidiary of Verizon Communications that serves as the umbrella company of its digital platforms.

Modality-Agnostic Attention Fusion for visual search with text feedback

Image retrieval with natural language feedback offers the promise of cat...
06/30/2020 ∙ by Eric Dodds, et al. ∙ 16 ∙ share

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Recommending Themes for Ad Creative Design via Visual-Linguistic Representations

There is a perennial need in the online advertising industry to refresh ...
01/20/2020 ∙ by Yichao Zhou, et al. ∙ 8 ∙ share

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A Sparse Deep Factorization Machine for Efficient CTR prediction

Click-through rate (CTR) prediction is a crucial task in online display ...
02/17/2020 ∙ by Wei Deng, et al. ∙ 4 ∙ share

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Large-scale Gender/Age Prediction of Tumblr Users

Tumblr, as a leading content provider and social media, attracts 371 mil...
01/02/2020 ∙ by Yao Zhan, et al. ∙ 3 ∙ share

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Unsupervised Differentiable Multi-aspect Network Embedding

Network embedding is an influential graph mining technique for represent...
06/07/2020 ∙ by Chanyoung Park, et al. ∙ 2 ∙ share

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Addressing Class-Imbalance Problem in Personalized Ranking

Pairwise ranking models have been widely used to address recommendation ...
05/19/2020 ∙ by Lu Yu, et al. ∙ 1 ∙ share

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Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case

We study the problem of efficient online multiclass linear classificatio...
02/06/2019 ∙ by Alina Beygelzimer, et al. ∙ 0 ∙ share

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Learning to Crawl

Web crawling is the problem of keeping a cache of webpages fresh, i.e., ...
05/29/2019 ∙ by Utkarsh Upadhyay, et al. ∙ 0 ∙ share

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Task-Guided Pair Embedding in Heterogeneous Network

Many real-world tasks solved by heterogeneous network embedding methods ...
06/04/2019 ∙ by Chanyoung Park, et al. ∙ 0 ∙ share

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Optimal Learning of Mallows Block Model

The Mallows model, introduced in the seminal paper of Mallows 1957, is o...
06/03/2019 ∙ by Robert Busa-Fekete, et al. ∙ 0 ∙ share

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On the computational complexity of the probabilistic label tree algorithms

Label tree-based algorithms are widely used to tackle multi-class and mu...
06/01/2019 ∙ by Robert Busa-Fekete, et al. ∙ 0 ∙ share

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Data Consortia

Today, web-based companies use user data to provide and enhance services...
06/27/2019 ∙ by Eric Bax, et al. ∙ 0 ∙ share

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Streaming Quantiles Algorithms with Small Space and Update Time

Approximating quantiles and distributions over streaming data has been s...
06/29/2019 ∙ by Nikita Ivkin, et al. ∙ 0 ∙ share

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Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising

Conversion prediction plays an important role in online advertising sinc...
07/24/2019 ∙ by Junwei Pan, et al. ∙ 0 ∙ share

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Learning from Multi-User Activity Trails for B2B Ad Targeting

Online purchase decisions in organizations can go through a complex jour...
08/29/2019 ∙ by Shaunak Mishra, et al. ∙ 0 ∙ share

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Unsupervised Attributed Multiplex Network Embedding

Nodes in a multiplex network are connected by multiple types of relation...
11/15/2019 ∙ by Chanyoung Park, et al. ∙ 0 ∙ share

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Collecting Charges for Ad Impact on User Experience for Different Price Types

This note describes how to collect charges for ad impact on user experie...
11/27/2019 ∙ by Eric Bax, et al. ∙ 0 ∙ share

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A Deep Structural Model for Analyzing Correlated Multivariate Time Series

Multivariate time series are routinely encountered in real-world applica...
01/02/2020 ∙ by Changwei Hu, et al. ∙ 0 ∙ share

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Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph

In this paper, we describe an embedding-based entity recommendation fram...
04/15/2020 ∙ by Chien-Chun Ni, et al. ∙ 0 ∙ share

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Recurrent Neural Networks for Stochastic Control in Real-Time Bidding

Bidding in real-time auctions can be a difficult stochastic control task...
06/12/2020 ∙ by Nicolas Grislain, et al. ∙ 0 ∙ share

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DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature

We consider the problem of Named Entity Recognition (NER) on biomedical ...
06/05/2020 ∙ by Chaoran Cheng, et al. ∙ 0 ∙ share

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One word at a time: adversarial attacks on retrieval models

Adversarial examples, generated by applying small perturbations to input...
08/05/2020 ∙ by Nisarg Raval, et al. ∙ 0 ∙ share

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Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance

In recent years, deep neural sequence-to-sequence framework has demonstr...
08/04/2020 ∙ by Wasi Uddin Ahmad, et al. ∙ 0 ∙ share

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Verizon Media

Featured Researchers

Yang Zhang

Chao Xu

Donghyun Kim

Manisha Verma

Xiao Bai

Hwanjo Yu

Alina Beygelzimer

Eric Bax

Changwei Hu

Robert Busa-Fekete

Junwei Pan

Modality-Agnostic Attention Fusion for visual search with text feedback

Recommending Themes for Ad Creative Design via Visual-Linguistic Representations

A Sparse Deep Factorization Machine for Efficient CTR prediction

Large-scale Gender/Age Prediction of Tumblr Users

Unsupervised Differentiable Multi-aspect Network Embedding

Addressing Class-Imbalance Problem in Personalized Ranking

Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case

Learning to Crawl

Task-Guided Pair Embedding in Heterogeneous Network

Optimal Learning of Mallows Block Model

On the computational complexity of the probabilistic label tree algorithms

Data Consortia

Streaming Quantiles Algorithms with Small Space and Update Time

Predicting Different Types of Conversions with Multi-Task Learning in Online Advertising

Learning from Multi-User Activity Trails for B2B Ad Targeting

Unsupervised Attributed Multiplex Network Embedding

Collecting Charges for Ad Impact on User Experience for Different Price Types

A Deep Structural Model for Analyzing Correlated Multivariate Time Series

Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph

Recurrent Neural Networks for Stochastic Control in Real-Time Bidding

DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature

One word at a time: adversarial attacks on retrieval models

Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance