21 citations · 21 across the 1 of their papers we have counts for
3 papers
Boilerplate Removal using a Neural Sequence Labeling Model
Jurek Leonhardt, Avishek Anand, Megha Khosla
The extraction of main content from web pages is an important task for numerous applications, ranging from usability aspects, like reader views for news articles in web browsers, t…
Node Representation Learning for Directed Graphs
Megha Khosla, Jurek Leonhardt, Wolfgang Nejdl +1
We propose a novel approach for learning node representations in directed graphs, which maintains separate views or embedding spaces for the two distinct node roles induced by the…
User Fairness in Recommender Systems
Jurek Leonhardt, Avishek Anand, Megha Khosla
Recent works in recommendation systems have focused on diversity in recommendations as an important aspect of recommendation quality. In this work we argue that the post-processing…