A brief project presentation during the 2015 'Commit Comnunity Days' @ Papendal, Netherlands.
QUINN is a joint Radboud University/TNO/LexisNexis valorisation project to investigate applicabilaty of automated search suggestion functionality.
QUINN is a valorisation project of the larger TNO-led SWELL, and part of the Dutch COMMIT public/private R&D initiative.
3. Objectives
• Information specialists build complex Boolean queries for news retrieval
• News topics evolve over time: new entities/terms/concepts/events
• Search strings are long and complex: difficult to see how query can be
improved
• Question: can we assist users with query term suggestions?
• Hypothesis: result sets contain potentially relevant new query terms
• Term extraction technology implemented for the COMMIT/SWELL
project
First results
• Dedicated UI for term suggestion, showing:
- original query
- documents from news stream
- list of suggested query terms
• Evaluated with 6 users from 2 organizations so far:
- users recognize potential
- ‘noisy’ term suggestions need improvement
- additional wishes: suggestions for Boolean operators, wildcards
• User experiment finalised later this week