activity
20132022
most citedGeo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement

208 citations · 327 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2022★ 1 cited

Improved Adaptive Algorithm for Scalable Active Learning with Weak Labeler

Yifang Chen, Karthik Sankararaman, Alessandro Lazaric +6

Active learning with strong and weak labelers considers a practical setting where we have access to both costly but accurate strong labelers and inaccurate but cheap predictions pr…

cs.SI2020★ 2 cited

Popularity Prediction for Social Media over Arbitrary Time Horizons

Daniel Haimovich, Dima Karamshuk, Thomas J. Leeper +2

Predicting the popularity of social media content in real time requires approaches that efficiently operate at global scale. Popularity prediction is important for many application…

cs.LG2018

Learning Cheap and Novel Flight Itineraries

Dmytro Karamshuk, David Matthews

We consider the problem of efficiently constructing cheap and novel round trip flight itineraries by combining legs from different airlines. We analyse the factors that contribute…

cs.SI2017★ 1 cited

Wearing Many (Social) Hats: How Different are Your Different Social Network Personae?

Changtao Zhong, Hau-wen Chan, Dmytro Karamshuk +2

This paper investigates when users create profiles in different social networks, whether they are redundant expressions of the same persona, or they are adapted to each platform. U…

cs.SI2017★ 22 cited

Identifying Partisan Slant in News Articles and Twitter during Political Crises

Dmytro Karamshuk, Tetyana Lokot, Oleksandr Pryymak +1

In this paper, we are interested in understanding the interrelationships between mainstream and social media in forming public opinion during mass crises, specifically in regards t…

physics.soc-ph2015★ 43 cited

Identifying Geographic Clusters: A Network Analytic Approach

Roberto Catini, Dmytro Karamshuk, Orion Penner +1

In recent years there has been a growing interest in the role of networks and clusters in the global economy. Despite being a popular research topic in economics, sociology and urb…

cs.NI2015★ 25 cited

On Factors Affecting the Usage and Adoption of a Nation-wide TV Streaming Service

Dmytro Karamshuk, Nishanth Sastry, Andrew Secker +1

Using nine months of access logs comprising 1.9 Billion sessions to BBC iPlayer, we survey the UK ISP ecosystem to understand the factors affecting adoption and usage of a high ban…

cs.NI2015★ 25 cited

ISP-friendly Peer-assisted On-demand Streaming of Long Duration Content in BBC iPlayer

Dmytro Karamshuk, Nishanth Sastry, Andrew Secker +1

In search of scalable solutions, CDNs are exploring P2P support. However, the benefits of peer assistance can be limited by various obstacle factors such as ISP friendliness - requ…

cs.SI2013★ 208 cited

Geo-Spotting: Mining Online Location-based Services for Optimal Retail Store Placement

Dmytro Karamshuk, Anastasios Noulas, Salvatore Scellato +2

The problem of identifying the optimal location for a new retail store has been the focus of past research, especially in the field of land economy, due to its importance in the su…