Ranran Sun

TL;DR: The paper proposes a comprehensive framework for multimedia social network, and realized a cross-platform MSN prototype system, named as CyVOD, to support two kinds of DRM modes.

TL;DR: This paper primarily extended and enriched the situation analytics framework for the specific social domain, named as SocialSitu, and further proposed a novel algorithm for users’ intention serialization analysis based on classic Generalized Sequential Pattern (GSP).

TL;DR: A novel recommendation algorithm based on both social situation analytics and collaborative filtering for session-based recommendation that predicts the rating for target users based on their nearest neighbors and historical behaviors is proposed.

TL;DR: In this paper, a multimedia content recommendation method based on user situational analysis is proposed, which comprises the following steps: analyzing according to the identity, action and intention of a user in a social media network and big environment data, and then recommending the potential interesting multimedia content to each target user, thereby enabling the user to quickly and conveniently find the favorite content and increasing the accuracy of recommended algorithm.

TL;DR: In this paper, an association rule-based method is adopted to discover a behavior pattern sequence corresponding to a certain target of the user in different scenes, the intention of the users is timely discovered, and a basis is laid for providing more personalized service.