b'Verizon Media'

research

∙ 06/30/2020

Modality-Agnostic Attention Fusion for visual search with text feedback

Image retrieval with natural language feedback offers the promise of cat...

Eric Dodds, et al. ∙

research

∙ 01/20/2020

Recommending Themes for Ad Creative Design via Visual-Linguistic Representations

There is a perennial need in the online advertising industry to refresh ...

Yichao Zhou, et al. ∙

research

∙ 02/17/2020

A Sparse Deep Factorization Machine for Efficient CTR prediction

Click-through rate (CTR) prediction is a crucial task in online display ...

Wei Deng, et al. ∙

research

∙ 01/02/2020

Large-scale Gender/Age Prediction of Tumblr Users

Tumblr, as a leading content provider and social media, attracts 371 mil...

Yao Zhan, et al. ∙

research

∙ 06/07/2020

Unsupervised Differentiable Multi-aspect Network Embedding

Network embedding is an influential graph mining technique for represent...

Chanyoung Park, et al. ∙

research

∙ 05/19/2020

Addressing Class-Imbalance Problem in Personalized Ranking

Pairwise ranking models have been widely used to address recommendation ...

Lu Yu, et al. ∙

research

∙ 10/31/2021

Distantly Supervised Semantic Text Detection and Recognition for Broadcast Sports Videos Understanding

Comprehensive understanding of key players and actions in multiplayer sp...

Avijit Shah, et al. ∙

research

∙ 02/06/2019

Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case

We study the problem of efficient online multiclass linear classificatio...

Alina Beygelzimer, et al. ∙

research

∙ 05/29/2019

Learning to Crawl

Web crawling is the problem of keeping a cache of webpages fresh, i.e., ...

Utkarsh Upadhyay, et al. ∙

research

∙ 06/04/2019

Task-Guided Pair Embedding in Heterogeneous Network

Many real-world tasks solved by heterogeneous network embedding methods ...

Chanyoung Park, et al. ∙

research

∙ 06/03/2019

Optimal Learning of Mallows Block Model

The Mallows model, introduced in the seminal paper of Mallows 1957, is o...

Robert Busa-Fekete, et al. ∙

research

∙ 06/01/2019

On the computational complexity of the probabilistic label tree algorithms

Label tree-based algorithms are widely used to tackle multi-class and mu...

Robert Busa-Fekete, et al. ∙

research

∙ 06/27/2019

Data Consortia

Today, web-based companies use user data to provide and enhance services...

Eric Bax, et al. ∙

research

∙ 06/29/2019

Streaming Quantiles Algorithms with Small Space and Update Time

Approximating quantiles and distributions over streaming data has been s...

Nikita Ivkin, et al. ∙

research

∙ 07/24/2019

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

Conversion prediction plays an important role in online advertising sinc...

Junwei Pan, et al. ∙

research

∙ 08/29/2019

Learning from Multi-User Activity Trails for B2B Ad Targeting

Online purchase decisions in organizations can go through a complex jour...

Shaunak Mishra, et al. ∙

research

∙ 11/15/2019

Unsupervised Attributed Multiplex Network Embedding

Nodes in a multiplex network are connected by multiple types of relation...

Chanyoung Park, et al. ∙

research

∙ 11/27/2019

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...

Eric Bax, et al. ∙

research

∙ 01/02/2020

A Deep Structural Model for Analyzing Correlated Multivariate Time Series

Multivariate time series are routinely encountered in real-world applica...

Changwei Hu, et al. ∙

research

∙ 04/15/2020

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

In this paper, we describe an embedding-based entity recommendation fram...

Chien-Chun Ni, et al. ∙

research

∙ 06/12/2020

Recurrent Neural Networks for Stochastic Control in Real-Time Bidding

Bidding in real-time auctions can be a difficult stochastic control task...

Nicolas Grislain, et al. ∙

research

∙ 06/05/2020

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 ...

Chaoran Cheng, et al. ∙

research

∙ 08/05/2020

One word at a time: adversarial attacks on retrieval models

Adversarial examples, generated by applying small perturbations to input...

Nisarg Raval, et al. ∙

research

∙ 08/04/2020

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

In recent years, deep neural sequence-to-sequence framework has demonstr...

Wasi Uddin Ahmad, et al. ∙

research

∙ 04/23/2021

Selecting a number of voters for a voting ensemble

For a voting ensemble that selects an odd-sized subset of the ensemble c...

Eric Bax, et al. ∙

research

∙ 06/27/2021

DeepGD: A Deep Learning Framework for Graph Drawing Using GNN

In the past decades, many graph drawing techniques have been proposed fo...

Xiaoqi Wang, et al. ∙

research

∙ 07/12/2021

An Efficient Deep Distribution Network for Bid Shading in First-Price Auctions

Since 2019, most ad exchanges and sell-side platforms (SSPs), in the onl...

Tian Zhou, et al. ∙

research

∙ 07/15/2021

Mid-flight Forecasting for CPA Lines in Online Advertising

For Verizon MediaDemand Side Platform(DSP), forecasting of ad campaign p...

Hao He, et al. ∙

research

∙ 08/05/2021

VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search

Numerous online stock image libraries offer high quality yet copyright f...

Shaunak Mishra, et al. ∙

research

∙ 08/18/2021

TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity

Coming up with effective ad text is a time consuming process, and partic...

Shaunak Mishra, et al. ∙

research

∙ 09/06/2021

Bounding Means of Discrete Distributions

We introduce methods to bound the mean of a discrete distribution (or fi...

Eric Bax, et al. ∙

research

∙ 11/15/2021

Mitigating Divergence of Latent Factors via Dual Ascent for Low Latency Event Prediction Models

Real-world content recommendation marketplaces exhibit certain behaviors...

Alex Shtoff, et al. ∙

Verizon Media

Featured Researchers