Despite Web services widespread adoption, users still struggle with the problem of locating the Web services that best satisfy their needs and meet their requirements. Unfortunately, current Web services repositories suffer from various limitations, such as providing Web services to users regardless of these users' past experiences and these Web services' intrinsic characteristics like popularity and credibility. In this paper, we introduce a Web Service Recommender System that uses collaborative filtering, demographic filtering, and content-based filtering techniques to help facilitate the search of Web services. The WSRS system uses both users' and Web services' profile for the sake or recommending Web services.