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| Content Provider | ACM Digital Library |
|---|---|
| Author | Tractinsky, Noam Yogev, Sivan Shani, Guy |
| Abstract | In this paper we argue that focused knowledge acquisition -- knowledge acquisition in user-defined query context -- can be best achieved through presentation of relationships between search results for a given user query. We suggest that in order to expose relationships while maintaining relevance-based layout of search results, presentation of search results could benefit from using a two-dimensional layout instead of the conventional one-dimensional ranked list. We introduce HiveRel, a search system that presents search results as tiled hexagons on a map-like surface with center-out relevance ordering, in which relationships are displayed on-demand. A user study compared HiveRel to standard web search over a range of focused knowledge acquisition tasks and two different domains. The results indicate that users completed the tasks faster and with comparable quality using HiveRel, and rated it positively. |
| Starting Page | 17 |
| Ending Page | 24 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450349031 |
| DOI | 10.1145/3038462.3038473 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2017-03-13 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Entity relationship model Information visualization Exploratory search Focused knowledge acquisition Search algorithm |
| Content Type | Text |
| Resource Type | Article |
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