Content-based filtering can be deployed for personalised information dissemination on the
web, but this is a possibility that has been largely ignored. Nowadays, there are no …

Personalisation can have a significant impact on the way information is disseminated on the
web today. Information Filtering can be a significant ingredient towards a personalised web …

Abstract Knowledge, as the most important resource for the knowledge economy in the 21st
century, is fundamental to enterprise competitive strength. Therefore, how to effectively …

Abstract In Adaptive Information Filtering, the user profile has to be able to define and
maintain an accurate representation of the user's interests over time. According to …

While most collaboration technologies are concerned with supporting task accomplishment,
members of work teams do not always have the skills necessary for effective teamwork. In …

With the overwhelming increase in the amount of data on the web and data bases, many text
mining techniques have been proposed for mining useful patterns in text documents …

It is a big challenge to acquire correct user profiles for personalized text classification since
users may be unsure in providing their interests. Traditional approaches to user profiling …

The quality of extracted features is the key issue to text mining due to the large number of
terms, phrases, and noise. Most existing text mining methods are based on term-based …

Jerne's idiotypic network theory stresses the importance of antibody-to-antibody interactions
and provides possible explanations for self-tolerance and increased diversity in the immune …

In the use of recommendation system and retrieval system, Named Entity Disambiguation
(NED) is helpful to distinguish polysemy and synonym, so as to realize accurate retrieval …