@inproceedings{3775eb4b24d24f56b8ace55b0b996bf1,
title = "HiveRel: Towards focused knowledge acquisition",
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 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.",
keywords = "Entity relationship model, Exploratory search, Focused knowledge acquisition, Information visualization, Search algorithm",
author = "Sivan Yogev and Guy Shani and Noam Tractinsky",
note = "Publisher Copyright: {\textcopyright} Copyright 2017 ACM.; ACM Workshop on Exploratory Search and Interactive Data Analytics, ESIDA 2017 ; Conference date: 13-03-2017",
year = "2017",
month = mar,
day = "13",
doi = "10.1145/3038462.3038473",
language = "English",
series = "ESIDA 2017 - Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics, co-located with IUI 2017",
publisher = "Association for Computing Machinery, Inc",
pages = "17--24",
booktitle = "ESIDA 2017 - Proceedings of the 2017 ACM Workshop on Exploratory Search and Interactive Data Analytics, co-located with IUI 2017",
}