While bibliographic classifications are traditionally based on disciplines, the logical
alternative is phenomenon‐based classification. Although not prevalent, this approach has …

This paper explores issues related to cognitive load in the contexts of learning, information
filtering, user modeling, categorization and personal information organizing behavior. We …

Document clustering is an intentional act that reflects individual preferences with regard to
the semantic coherency and relevant categorization of documents. Hence, effective …

An experiment was conducted to see how relevance feedback could be used to build and
adjust profiles to improve the performance of filtering systems. Data was collected during the …

In this review, I discuss some of the literature relevant to my proposed study of how amateur
art photographers make decisions about managing the information and artifacts gathered …

As electronic commerce and knowledge economy environments proliferate, both individuals
and organizations increasingly generate and consume large amounts of online information …

The concept of reader-interest classifications and its related terminology have shown a
wellestablished presence and common characteristics in the knowledge organization …

Abstract Domain novice users in the beginning stages of researching a topic find themselves
searching for information via information retrieval (IR) systems before they have identified …

While bibliographic classifications are traditionally based on disciplines, the logical
alternative is phenomenon-based classification. Although not prevalent, this approach has …

ABSTRACT A relatively new phenomenon in school libraries is the organization of books by
the reading levels associated with reading incentive programs such as Accelerated Reader …