ABSTRACT: Recommendation techniques are very important in the fields of E-commerce and other Web-based services. One of the main difficulties is dynamically providing the high-quality recommendation on sparse data. In this project, a novel dynamic personalized recommendation algorithm is proposed, in which information contained in both ratings and profile contents are utilized by exploring latent […]
