Abstract: 【Purpose/significance】Query intent of ambiguity challenges retrieval models.This paper discusses the effectiveness of diver?
sity search for dealing query intent with different ambiguities【. Method/process】This paper first argues that the query ambiguity can be measured by ordinal variables or continuous variables.Later,we propose a diversity search model to deal with ordinal query ambiguity through three rerank strategies and a diversity search model to deal with continuous query ambiguity through query reformulation.Fi? nally,a diversified search result list is returned with both high coverage and novelty【. Result/conclusion】On a open access dataset,α-nDCG@5,α-nDCG@10,α-nDCG@20 and NRBP@20 show that,our proposed models outperform baseline and gathering accurate sub- topics can effectively improve the effectiveness of the retrieval model【. Innovation/limitation】Our diversified retrieval models for deal-ing with ordinal or continuous query are proposed and validated.However,due to the experiment complexity,the initial retrieval result list is slightly small.