h5-index is the h-index for articles published in the last 5 complete years. It is the largest number h such that h articles published in 2014-2018 have at least h citations each.hide
h5-median for a publication is the median number of citations for the articles that make up its h5-index.hide
Title / AuthorCited byYear
LINE: Large-scale Information Network Embedding
J Tang, M Qu, M Wang, M Zhang, J Yan, Q Mei
Proceedings of the 24th International Conference on World Wide Web, 1067-1077
12702015
Neural Collaborative Filtering
X He, L Liao, H Zhang, L Nie, X Hu, TS Chua
Proceedings of the 26th International Conference on World Wide Web, 173-182
6182017
Can cascades be predicted?
J Cheng, L Adamic, PA Dow, JM Kleinberg, J Leskovec
Proceedings of the 23rd international conference on World wide web, 925-936
5442014
Engaging with massive online courses
A Anderson, D Huttenlocher, J Kleinberg, J Leskovec
Proceedings of the 23rd international conference on World wide web, 687-698
4152014
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
R He, J McAuley
Proceedings of the 25th International Conference on World Wide Web, 507-517
3612016
Learning semantic representations using convolutional neural networks for web search
Y Shen, X He, J Gao, L Deng, G Mesnil
Proceedings of the 23rd International Conference on World Wide Web, 373-374
3282014
AutoRec: Autoencoders Meet Collaborative Filtering
S Sedhain, AK Menon, S Sanner, L Xie
Proceedings of the 24th International Conference on World Wide Web, 111-112
2642015
AIDR: artificial intelligence for disaster response
M Imran, C Castillo, J Lucas, P Meier, S Vieweg
Proceedings of the 23rd International Conference on World Wide Web, 159-162
2542014
BotOrNot: A System to Evaluate Social Bots.
CA Davis, O Varol, E Ferrara, A Flammini, F Menczer
WWW (Companion Volume), 273-274
2542016
Abusive Language Detection in Online User Content
C Nobata, J Tetreault, A Thomas, Y Mehdad, Y Chang
Proceedings of the 25th International Conference on World Wide Web, 145-153
2532016
A Multi-View Deep Learning Approach for Cross Domain User Modeling in Recommendation Systems
AM Elkahky, Y Song, X He
Proceedings of the 24th International Conference on World Wide Web, 278-288
2402015
An Overview of Microsoft Academic Service (MAS) and Applications
A Sinha, Z Shen, Y Song, H Ma, D Eide, BJP Hsu, K Wang
Proceedings of the 24th International Conference on World Wide Web, 243-246
2162015
Test-driven evaluation of linked data quality
D Kontokostas, P Westphal, S Auer, S Hellmann, J Lehmann, ...
Proceedings of the 23rd international conference on World wide web, 747-758
2112014
Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts
Z Zhao, P Resnick, Q Mei
Proceedings of the 24th International Conference on World Wide Web, 1395-1405
2092015
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment
MB Zafar, I Valera, M Gomez Rodriguez, KP Gummadi
Proceedings of the 26th International Conference on World Wide Web, 1171-1180
2022017
Information network or social network?: the structure of the twitter follow graph
SA Myers, A Sharma, P Gupta, J Lin
Proceedings of the 23rd International Conference on World Wide Web, 493-498
1992014
What makes an image popular?
A Khosla, A Das Sarma, R Hamid
Proceedings of the 23rd international conference on World wide web, 867-876
1982014
Hate Speech Detection with Comment Embeddings
N Djuric, J Zhou, R Morris, M Grbovic, V Radosavljevic, N Bhamidipati
Proceedings of the 24th International Conference on World Wide Web, 29-30
1882015
Exploring the filter bubble: the effect of using recommender systems on content diversity
TT Nguyen, PM Hui, FM Harper, L Terveen, JA Konstan
Proceedings of the 23rd international conference on World wide web, 677-686
1772014
GERBIL: General Entity Annotator Benchmarking Framework
R Usbeck, M Röder, AC Ngonga Ngomo, C Baron, A Both, M Brümmer, ...
Proceedings of the 24th International Conference on World Wide Web, 1133-1143
1752015
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Dates and citation counts are estimated and are determined automatically by a computer program.