נעם טרקטינסקי

אקדמי בכיר

HiveRel

Towards focused knowledge acquisition

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 relevancebased 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.

שפת פרסום אנגלית
דפים 17-24
סטטוס פרסום פורסם - 13.03.2017

Keywords

Entity relationship model
Exploratory search
Focused knowledge acquisition
Information visualization
Search algorithm

ASJC Scopus subject areas

Human-Computer Interaction
Software
Information Systems and Management
גישה למסמך
10.1145/3038462.3038473
קבצים וקישורים אחרים
Link to publication in Scopus