Identifying and ranking the Factors Affecting the User Experience of Recommendation Systems in Online Environments (The Case Of: Digikala WebSite)

this research is going to identify and rank the factors influencing on user experience from proposing systems in online environment. This research is functional in terms of its purpose, and it is a descriptive one in terms of information gathering. The statistical population of the study was all users of DJ's internet store, who have used the services of this store in April and May of 2018. To determine the sample size, the Kumer and Lee patterns were used, the sample size was 500 and 458 of the samples in questionnaries were completed and obtained. Sampling method was used to select the members of the statistical sample and the data were collected by using both library method for reviewing the literature and the field method for distribution and collection of questionnaries. Validity of the questionnaries was measured by experts and reliability was confirmed by cronbach's alpha. Data analysis was done by exploratory factor analysis using spss software. The findings of this study showed that user experience includes 13 dimensions. To test the dimensions, a one sample T test was used. Therefore studying these dimensions showed that all dimensions are in good condition. Shannon Entropy was used to rank dimensions.