The amount of internet videos is growing steadily, thus creating a need for new and efficient content discovery and retrieval methods. one promising solution is to use a recommender system. the area of recommender system has been subject to extensive research in the recent years, but there is still a need for a personal recommender system with the assumption that no large amounts of data are available. moreover, despite social network services have been accepted by a considerable amount of people as part of their daily lives, nly a fraction of their potential for the purposes of making recommendation is currently being used. this paper addressess the problem of recommending video content for social network service users. the requirements for building a social networking based recommender system are discussed and a way to divide and tackle the problem is proposed. furthermore, key challengers and a review of existing solutions for each of the identified subproblems are given. a prototype ap-plication that implements the proposed architecture is presented. finally, an evaluation plan for validating the approach is given.