In social bookmarking systems, existing methods in tag prediction have shown that the performance of prediction can be significantly improved by modeling users’ preferences. Ho...
Management and retrieval of large volumes of text can be expensive in both space and time. Moreover, the range of document sizes in a large collection such as trec presents difficu...
Alistair Moffat, Ron Sacks-Davis, Ross Wilkinson, ...
This work presents a study to bridge topic modeling and personalized search. A probabilistic topic model is used to extract topics from user search history. These topics can be se...
Stemming can improve retrieval accuracy, but stemmers are language-specific. Character n-gram tokenization achieves many of the benefits of stemming in a language independent way,...
We present the interest of the Semantic Web techniques, particularly semantic annotation, in the biochip domain. We propose a semi-automatic method using the information extraction...