Synonym Recognition Based on User Behaviors in E-commerce
Yi Guan · Zhongwen xinxi xuebao · 2012
Focused on the synonym recognition in e-commerce.this paper presents a method to recognize synonyms based on user behaviors to deal with the considerable new words,typos,and near-synonyms in this domain.Firstly,candidate synonym sets are retrieved by analyzing the titles and their corresponding queries based on SimRank theory.Then,features including literal feature,title feature,query feature,click feature are extracted.Finally,Gradient Boost Decision Tree model is adopted to determine whether candidate synonyms are true or not.The experimental result shows that Gradient Boost Decision Tree(GBDT) is more suitable for this task,achieving a precision of 56.52%.