Collective search and recommendation in social media

摘要: This PhD thesis proposal is focused on proposing solutions to the problem of collective search and recommendation in social media. User data are two fundamental elements under media environment. To cope with semantic gap between meaning, complexity user intent requirements, we propose conduct research three stages: (1) multimedia content analysis; (2) understanding (3)collective recommendation. We address large-scale, multi-modal heterogeneous characteristics analysis by developing methodology from factor analysis, generative topic model collaborative filtering. Progresses advances along lines have been presented, future directions open discussions concluded end.