Similarity measures for title matching

Abstract

In many web applications, users query a place name, a photo name, and other entity names using search words that include alternate spellings, abbreviations, and variants that are similar, but not identical to the title associated with the desired entity. Given two titles, an effective similarity measure should be able to determine whether the titles represent the same entity or not. In this paper, we evaluate 21 measures with the aim of detecting the most appropriate measure for matching the titles. Results show that Soft-TFIDF performs the best.

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