Session details: Personalized Social Web I

Predicting the next interaction of a short-term interaction session is a challenging task in session-based recommendation. Almost all existing works rely on item transition patterns, and neglect user historical sessions while modeling user preference, ...

Today hundreds of millions of Internet users are using thousands of social Web sites to stay connected with their friends, discover new ''friends,'' and to share user-created contents, such as photos, videos, social bookmarks, and blogs. There are so ...

This work investigates personalized social search based on the user's social relations -- search results are re-ranked according to their relations with individuals in the user's social network. We study the effectiveness of several social network types ...