Search engine queries are normally brief but often return unmanageably long results, with which users struggle to determine document quality and relevance. In recent years, many studies have enhanced search results with metadata displayed as visual cues. Their success in helping users make faster and more accurate document judgments has been uneven, reflecting the wide range of information needs and document selection strategies of users, and also the relative effectiveness of different visualization forms. We identify the frequency with which query terms are found in a document as a straightforward and effective way for users to see the relationship between their query and the search results. In our prototype, we display these frequencies using simple pie charts. Despite performance limitations, evaluation with 101 users has been promising and suggests future developments.
|Title of host publication||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Editors||Ee-Peng Lim, Schubert Foo, Chris Khoo, Hsinchun Chen, Edward Fox, Shalini Urs, Thanos Costantino|
|Number of pages||12|
|State||Published - 2002|
|Event||5th International Conference on Asian Digital Libraries, ICADL 2002 - Singapore, Singapore|
Duration: Dec 11 2002 → Dec 14 2002
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||5th International Conference on Asian Digital Libraries, ICADL 2002|
|Period||12/11/02 → 12/14/02|
Bibliographical notePublisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
ASJC Scopus subject areas
- Theoretical Computer Science
- Computer Science (all)