A major difference between on-line services and off-line services is in the quality of the service they provide. On-line services lack of dynamic interface between customers and service providers. Traditional studies on personalizing web services do not consider the intimacy level of customers to web services. This study suggests a web personalizing method to satisfy customers in on-line using intimacy theory, cluster analysis, and data mining. The goal of this study is to support customers in web with more intimate service. It also offers improved services to customers by personalizing web services dynamically.