Generating titles for millions of browse pages on an e-Commerce site

Abstract

We present three approaches to generate titles for browse pages in five different languages, namely English, German, French, Italian and Spanish. These browse pages are structured search pages in an e-commerce domain. We first present a rule-based approach to generate these browse page titles. In addition, we also present a hybrid approach which uses a phrase-based statistical machine translation engine on top of the rule-based system to assemble the best title. For the two languages English and German, we have access to a large amount of rule-based generated and human-curated titles. For these languages, we present an automatic post-editing approach which learns how to post-edit the rule-based titles into curated titles.