Abstract. As the amount of information available to users continues to grow, filtering wanted items from unwanted ones becomes a dominant task. To this end, various collaborative-f...
Recommendations in e–commerce collaborative filtering are based on predicting the preference of a user for a given item according to historical records of other user’s prefere...
In this paper we develop a recommendation framework to connect image content with communities in online social media. The problem is important because users are looking for useful...
Munmun De Choudhury, Hari Sundaram, Yu-Ru Lin, Aji...
For the first time in 2007, TRECVID considered structured evaluation of automated video summarization, utilizing BBC rushes video. In 2007, we conducted user evaluations with the ...
Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...