7 citations · 7 across the 7 of their papers we have counts for
7 papers
Less Traffic, Better Outcomes: Competition-Aware Request Dispatch in Real-Time Ad Exchanges
Jonaid Shianifar, Blaz Mramor, Fangda Zou +5
Real-time bidding (RTB) ad exchanges typically forward nearly all incoming requests to demand-side platforms (DSPs), even though only a small fraction receive bids. This over-distr…
RAMP: Robust Ad Recommendation Under Limited Personalized-Feature Availability via Masking and Alignment Pathways
Dairui Liu, Zhongyi Lu, Roger Zhe Li +11
Click-through rate (CTR) and conversion rate (CVR) prediction are fundamental tasks in online advertising, aiming to estimate the likelihood of user interactions based on various f…
Story Disambiguation: Tracking Evolving News Stories across News and Social Streams
Bichen Shi, Thanh-Binh Le, Neil Hurley +1
Following a particular news story online is an important but difficult task, as the relevant information is often scattered across different domains/sources (e.g., news articles, b…
On Supporting Digital Journalism: Case Studies in Co-Designing Journalistic Tools
Georgiana Ifrim, Derek Greene, Mark T. Keane +3
Since 2013 researchers at University College Dublin in the Insight Centre for Data Analytics have been involved in a significant research programme in digital journalism, specifica…
Distributed Entity Disambiguation with Per-Mention Learning
Tiep Mai, Bichen Shi, Patrick K. Nicholson +2
Entity disambiguation, or mapping a phrase to its canonical representation in a knowledge base, is a fundamental step in many natural language processing applications. Existing tec…
A Machine Learning Approach to Predicting the Smoothed Complexity of Sorting Algorithms
Bichen Shi, Michel Schellekens, Georgiana Ifrim
Smoothed analysis is a framework for analyzing the complexity of an algorithm, acting as a bridge between average and worst-case behaviour. For example, Quicksort and the Simplex a…