The web - an open space that sources huge amount of information about user accesses provides a rich source for data mining. It holds the enormous amount of information logged about user accesses. Mining this information to gain deep insights into the website, its usage, and user visiting pattern is known as the web data mining. The term web data mining is a technique used to crawl through various web resources, and gain deep insights from the same. With this practice, one can automatically discover and extract information from web documents and services. Due to a large cultural variety in India, there emerges a great need for understanding user preferences. Therefore, a study of user culture background is vital. This paper presents an approach to work with initial acquiring information, provides the adaptive interface for the better understanding of user culture background further defining set of rules and pattern. User culture is then used for recommending services as per need and requirement.