This paper describes a technique for making personalized recommendations from any type of database to a user based on similarities between the interest pro le of that user and tho...
Music Recommendation Systems often recommend individual songs, as opposed to entire albums. The challenge is to generate reviews for each song, since only full album reviews are a...
"Wow. I fell asleep listening to SOA music, and when I woke up, I couldn't remember where I'd put my data. Now what?" Has this happened to you? With the new pu...
This paper explores the application of restricted relationship graphs (RDF) and statistical NLP techniques to improve named entity annotation in challenging Informal English domain...
Daniel Gruhl, Meenakshi Nagarajan, Jan Pieper, Chr...
Abstract. PersonisAD, is a framework for building context-aware, ubiquitous applications: its defining foundation is a consistent mechanism for scrutable modelling of people, sens...
Mark Assad, David J. Carmichael, Judy Kay, Bob Kum...