@inbook{6d0021b743a74e06808e147069281aed,
title = "Statistical entity ranking with domain knowledge",
abstract = "Entity search is a new application meeting either precise or vague requirements from the search engines users. Baidu Cup 2016 Challenge just provided such a chance to tackle the problem of the entity search. We achieved the first place with the average MAP scores on 4 tasks including movie, tvShow, celebrity and restaurant. In this paper, we propose a series of similarity features based on both of the word frequency features and the word semantic features and describe our ranking architecture and experiment details.",
keywords = "Domain knowledge, Entity search, Similarity features, Statistical features",
author = "Jin, {Xiao Bo} and Geng, {Guang Gang} and Kaizhu Huang and Yan, {Zhi Wei}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2016.",
year = "2016",
month = dec,
day = "1",
doi = "10.1007/978-3-319-50496-4_73",
language = "English",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "811--818",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}