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.
CITATION STYLE
Jin, X. B., Geng, G. G., Huang, K., & Yan, Z. W. (2016). Statistical entity ranking with domain knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10102, pp. 811–818). Springer Verlag. https://doi.org/10.1007/978-3-319-50496-4_73
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