This paper is concerned with using similarity for case retrieval, especially in interactive case retrieval systems (ICRSs). We deene and exemplify similarity metrics, which are a generalisation of similarity measures, having any partial order as their result type. Within this new similarity metric setting, we deene the notion of thèbest' cases in case retrieval. We then show the variety of ways...

In the context of interactive query sessions, it is common to issue a succession of queries, transforming a dataset to the desired result. It is often difficult to comprehend a succession of transformations, especially for complex queries. Thus, to facilitate understanding of each data transformation and to provide continuous feedback, we introduce the concept of “data tweening”, i.e., interpol...

The purpose of this qualitative study was to examine how first-year college students perceive their development of domain identification with, and interest in, their prospective science major during their initial year of college. Four themes emerged from the coding and analysis of interviews with eight first-year science students: Self-Definition in Flux, Feeling Competent, Expressing Interest ...

In distributed information retrieval, answers from separate collections are combined into a single result set. However, the collections may overlap. The fact that the collections are distributed means that it is not in general feasible to prune duplicate and near-duplicate documents at index time. In this paper we introduce and analyze the grainy hash vector, a compact document representation t...

With the development and advancement of new data interaction modalities, data exploration and analysis has become a highly interactive process situating the user in a session of successive queries. With rapidly changing results, it becomes difficult for the end user to fully comprehend transformations, especially the transforms corresponding to complex queries. We introduce “data tweening” as a...