4 citations · 6 across the 2 of their papers we have counts for
3 papers
cs.IR2020
Analyzing 'Near Me' Services: Potential for Exposure Bias in Location-based Retrieval
Ashmi Banerjee, Gourab K Patro, Linus W. Dietz +1
The proliferation of smartphones has led to the increased popularity of location-based search and recommendation systems. Online platforms like Google and Yelp allow location-based…
cs.HC2019★ 2 cited
A Model for Using Physiological Conditions for Proactive Tourist Recommendations
Rinita Roy, Linus W. Dietz
Mobile proactive tourist recommender systems can support tourists by recommending the best choice depending on different contexts related to herself and the environment. In this pa…
cs.IR2018★ 4 cited
Online Evaluations for Everyone: Mr. DLib's Living Lab for Scholarly Recommendations
Joeran Beel, Andrew Collins, Oliver Kopp +2
We introduce the first 'living lab' for scholarly recommender systems. This lab allows recommender-system researchers to conduct online evaluations of their novel algorithms for sc…