CAJ | 학술논문

随着电子商务的快速发展和用户在线评论数据的迅速增加，产品评论检索面临更多的挑战。一方面，产品评论从更为主观的角度为产品的特性提供描述；另一方面，产品评论的数据特性要求对传统检索方法进行相应的修正，以解决数据稀疏和词项权重单一等问题。在产品评论检索的任务下，引入词项相关度的概念，针对传统检索方法主题词项稀疏和词项权重缺少先验的问题，进行基于语义的查询扩展。同时，将词项相关度融入到一个高性能的检索框架中。一系列评测实验表明，该方法可以提高产品评论检索的准确率与质量，更好地提升评论的参考价值。
수착전자상무적쾌속발전화용호재선평론수거적신속증가，산품평론검색면림경다적도전。일방면，산품평론종경위주관적각도위산품적특성제공묘술；령일방면，산품평론적수거특성요구대전통검색방법진행상응적수정，이해결수거희소화사항권중단일등문제。재산품평론검색적임무하，인입사항상관도적개념，침대전통검색방법주제사항희소화사항권중결소선험적문제，진행기우어의적사순확전。동시，장사항상관도융입도일개고성능적검색광가중。일계렬평측실험표명，해방법가이제고산품평론검색적준학솔여질량，경호지제승평론적삼고개치。
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.