关键词: 词项相关度, 评论检索, 语义扩展

Abstract: With the rapid development of e-commerce and significant growth of user-generated review data, product search has been faced with more and more challenges over the years. Product review data are useful as they provide a more trusted and subjective way of description. However, as for review data, traditional retrieval models usually suffer from data sparsity and term weight uniformity. To address these problems, this paper incorporates word semantic association into existing retrieval models, proposes a query expansion method to correct existing retrieval models, and implements the method under a high-performance retrieval framework. The experimental results on several types of product data show that the method achieves better precision as well as higher quality, which will be potentially helpful for product retrieval.

Key words: word association, review retrieval, semantic expansion