Nowadays a great number of different software services are available for usage. These services have different attributes and proper selection of software service for solving given problem is very difficult and non-trivial task. This paper focuses on recommendation of software services. We want to achieve selection of software services which fulfills needs of a user to the greatest possible extent. We focus on hybrid approach to recommendation, while using contextual information in the process. Context is used for representing information about each user and service separately. We also propose a method for context refinement with the expectation of retrieving more accurate results in future recommendations.