 To improve the quality of expansion words in pseudo-relevance feedback, a positional relevance feedback for pseudo-relevance feedback has been proposed to select from feedback documents those words that are focused on the query topic based on positions of words in feedback documents.Specifically, the positional relevance model assigns more weights to words occurring closer to query words based on the intuition that words closer to query words are more likely to be related to the query topic.Blind feedback automates the manual part of relevance feedback and has the advantage that assessors are not required.