Recommendation systems make suggestions about artifacts to a user. For instance, they may predict whether a user would be interested in seeing a particular movie. Social recomen...
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and...
Two recently implemented machine-learning algorithms, RIPPER and sleeping-experts for phrases , are evaluated on a number of large text categorization problems. These algorithms...
WHIRL is an extension of relational databases that can perform “soft joins ” based on the similarity of textual identifiers; these soft joins extend the traditional operation of...
h-index: Number of publications with at least h citations each.