Abstract: With the rapid development of moile Internet tehnology and online health community (OHC),more and more patients and caregivers would search the health information andseek medical advice before going to hsopital.However,there will be plenty of answers forpatients and they may be influenced by unrelated advertisements,inaccurate suggestions and unreliable regiments.In order to reduce the noise of unreliable data for sorting algorithm,this paper proposed a new algorithm to optimize the ranking of searching results with some credible information on OHC platforms.The method utilizes the information of every OHC answer provider,including professional knowledge level,focused fields,answer-accepted rate,and so on,to estimate a credible score.For each new question searching,a combined sorting function with the content similarity and credible score for provider is provided to obtain the results ranking.To improve the accuracy in a further step,the category of searching question is given to match the interested area of answer provider.The experiment compares several optimizing factors and their corresponding results,and the results show that this new algorithm can effectively select more accurate answers on OHC platforms.

Key words: Credible evaluation, Office classification, One-question multi-answer, Online health community