Title
Readers' Demanded Hyperlink Prediction in Wikipedia.
Abstract
In this paper, we describe our on-going research on the problem of predicting needed hyperlinks between pairs of Wikipedia pages (u,v) that are not connected, yet show readers' search navigation from u to v. We propose a solution that first estimates how long will these searches last and then predicts new hyperlinks according to descending order of duration. Our initial experimental results show that our best solution achieves an AUROC of 0.77 on the Wikipedia Clickstream dataset and a [email protected]% of 1.0 and significantly beats the baselines.
Year
DOI
Venue
2018
10.1145/3184558.3191644
WWW '18: The Web Conference 2018 Lyon France April, 2018
DocType
ISBN
Citations 
Conference
978-1-4503-5640-4
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Laxmi Amulya Gundala101.35
Francesca Spezzano28019.08