As data volumes increase at a high speed in more and more application fields of science, engineering, information services, etc., the challenges posed by data-intensive computing...
: This paper presents the results of a study on notetaking in university courses and derives implications for the design of electronic notetaking and annotation systems in eLearnin...
Identifying background (context) information in scientific articles can help scholars understand major contributions in their research area more easily. In this paper, we propose ...
Personalization systems exploit preferences for providing users with only relevant data from the huge volume of information that is currently available. We consider preferences th...
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....