基于查询意图的细粒度图书分面检索研究

A Study of Fine-Grained Book-Faceted Retrieval Based on Query Intent

[目的 /意义]构建基于用户评论的图书分面体系和图书查询意图的分面检索模型,提升用户图书检索体验。[方法/过程]在调研大规模图书评论数据的基础上,立足图书评论数据特征进行细粒度图书分面体系构建,在此基础上,引入查询意图识别模块来构建图书分面检索模型,并进行原型系统的实现以验证模型的可行性和效果。[结果 /结论 ]通过原型系统的实现证实了所构建的细粒度分面体系能够有效帮助用户筛选和定位图书检索结果;提出的分面检索模型操作便捷,并能够结合用户的查询意图有效减少信息过载的问题,具有良好的用户体验。

[Purpose/Significance]Building a book-faceted system based on user comments and a faceted search model for book query intent can help to enhance user experience in book retrieval.[Method/Process]Based on the research of large-scale book comment data,a fine-grained book faceted system was constructed based on the characteristics of book comment data.On this basis,a query intent recognition module was introduced to construct a book faceted retrieval model,and a prototype system was implemented to verify the feasibility and effectiveness of the model.[Result/Conclusion]The implementation of the prototype system has confirmed that the constructed fine-grained faceted system can effectively help users filter and locate book retrieval result.The proposed faceted retrieval model is easy to operate and can effectively reduce information overload in conjunction with the user's query intent,and has a good user experience.