Social Recommendations within the Multimedia Sharing Systems
This addresses the need for better user connection suggestions in multimedia platforms, but appears incremental as it builds on existing social recommendation concepts.
The paper tackles the problem of generating personalized social recommendations in multimedia sharing systems by introducing a multirelational social network model that incorporates direct and object-based relationships. Experiments confirmed the usefulness of this approach, though no specific performance numbers were provided.
The social recommender system that supports the creation of new relations between users in the multimedia sharing system is presented in the paper. To generate suggestions the new concept of the multirelational social network was introduced. It covers both direct as well as object-based relationships that reflect social and semantic links between users. The main goal of the new method is to create the personalized suggestions that are continuously adapted to users' needs depending on the personal weights assigned to each layer from the social network. The conducted experiments confirmed the usefulness of the proposed model.