@inproceedings{8b1fa5aa281b42cbb88d2791391c07f0,
title = "The Microsoft Academic Search challenges at KDD Cup 2013",
abstract = "Microsoft Academic Search is a free search engine specific to scholarly material. It currently covers more than 50 million publications and over 19 million authors across a variety of domains. One of the main challenges in correctly indexing this material is author name ambiguity and the resulting noise in author profiles. KDD Cup 2013 invited participants to tackle this problem in 2 ways: (1) by automatically determining which papers in an author profile are truly written by a given author, and (2) by identifying which author profiles need to be merged because they belong to the same author. This paper presents a brief account of the contest and the lessons learned.",
keywords = "Microsoft Academic Search, author name disambiguation",
author = "{De Cock}, Martine and Roy, {Senjuti Basu} and Swapna Savvana and Vani Mandava and Brian Dalessandro and Claudia Perlich and William Cukierski and Ben Hamner",
year = "2013",
doi = "10.1109/BigData.2013.6691761",
language = "English (US)",
isbn = "9781479912926",
series = "Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013",
publisher = "IEEE Computer Society",
pages = "1--4",
booktitle = "Proceedings - 2013 IEEE International Conference on Big Data, Big Data 2013",
address = "United States",
note = "2013 IEEE International Conference on Big Data, Big Data 2013 ; Conference date: 06-10-2013 Through 09-10-2013",
}