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Project

Bento Box Discovery

2016

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Author: Ben Wallberg and Xiaoyu Tai. This research poster is published on The Digital Repository at the University of Maryland (DRUM) and presented at Libraries Research and Innovative Practice Forum on June 8, 2016.


Bento Box Discovery Poster

Users find the list of resources and terms for finding information bewildering: book, journal, article, database, resource, catalog, worldcat, guide, website, google scholar, institutional repository, digital collections, archives, etc. What they really want is a single search box which will return a single, relevance-ranked result set across all Libraries’ resources and more. In the absence of a single data source to support such a search, Libraries for many years have tried to dynamically aggregate and de-duplicate federated searches across multiple data sources, called metasearch, which has not worked very well. In recent years a new model, often called Bento Box, has become popular which attempts to come closer to the ideal search. In this model the user enters their search into a single box, then multiple sources are searched and presented back on a single result screen, boxed into separate areas without de-duplication, with only a few results from each source. Then the user can clearly see that results have come from multiple sources and either select a specific hit or see more results from any of the sources.


Bento Box Discovery Poster Showcase Poster is presented at Libraries Research and Innovative Practice Forum on June 8, 2016.