Abstract：Domain-specific readability measures to improve information retrieval in the Persian language Purpose The degree to which a text is considered readable depends on the capability of the readerThis assumption puts different information retrieval systems at the risk of retrieving unreadable or hard-to-be-read yet relevant documents for their usersThis paper aims to examine the potential use of concept-based readability measures along with classic measures for re-ranking search results in information retrieval systemsspecifically in the Persian languageDesignmethodologyapproach FleschDayani as a classic readability measure along with document scopeDSand document cohesionDCas domain-specific measures have been applied for scoring the retrieved documents from Google181 documentsand the RICeST database215 documentsin the field of computer science and information technologyITThe re-ranked result has been compared with the ranking of potential users regarding their readabilityFindings The results show that there is a difference among subcategories of the computer science and IT field according to their readability and understandabilityThis study also shows that it is possible to develop a hybrid score based on DS and DC measures andamong all four applied scores in re-ranking the documentsthe re-ranked list of documents based on the DSDC score shows correlation with re-ranking of the participants in both groupsPractical implications The findings of this study would foster a new option in re-ranking search results based on their difficulty for experts and non-experts in different fieldsOriginalityvalue The findings and the two-mode re-ranking model proposed in this paper along with its primary focus on domain-specific readability in the Persian language would help Web search engines and online databases in further refining the search results in pursuit of retrieving useful texts for users with differing expertiseSearch and indexThis read-based re-arrangement mechanism can make the retrieval results more in line with the users understanding abilitythereby improving the effect of the search system and user satisfactionThis article focuses on how to improve the effect of the search systemand re-arrange the search results by using readable quantity in specific fields to make it more in line with user understandingThe main technology is natural language processingNLPbecause it involves the readability of the evaluation text and sorting the retrieval results based on this