Social Network and Device Aware Personalized Content Recommendation

In this paper, we propose a user social network and device capabilities aware recommender system to personalize content to the current device of a user. The proposed recommender system presents some novelties that are not provided in existing collaborative and content-based filtering. First of all, we incorporate the user social network data to find similar users not only using the conventional similarities approach but also based on the social importance of the users. Furthermore, it considers the user access device to ensure that the device is capable to stream and display. We present an approach that considers user experienced items, users direct trust and the capability of contributing to the content network for finding similarity. We improve the accuracy, precision and recall of the conventional recommender system. The proposed system can be used anywhere; however, we mainly focus on IPTV content personalization.