作者: Xiaolin Zheng , Chaofei Zhou , Yisu Shen
DOI: 10.1007/978-3-642-29084-8_13
关键词:
摘要: Enhancing an information retrieval system’s comprehension of user’s search intentions and the provision highly relevant results to users are important research topics. In this paper, system based on implicit time attributes is constructed via three modules including query classifier, attribute recommend system, ranking module. The classifier built automatically identify whether has attribute, used a corresponding which detected with attribute. module re-rank in query. Experimental show that can satisfy user demands better when taken into account.