The LDA-based PRF methods showed a slightly better performance than former methods, verifying the fact that a fine-grained topic may introduce more relevant terms into query expansion.
the PRF method based on bilingual LDA model, which used to achieve better performance than monolingual models on parallel documents, showed no advantage here, since the poor quality of the unparallel feedback documents limited the effectiveness of topical PRF methods.