BCS IRSG Search Solutions 2020 goes virtual and CfP

Search Solutions is the BCS Information Retrieval Specialist Group’s annual forum focused on practitioner issues and latest innovations in the area of Search and Information Retrieval.  Search Solutions 2020 will be an online event taking place on November 23, 2020.

Search Solutions will consist of invited talks, but we also invite proposals for 30-minute presentations  (20-minute talk plus 10-minute Q&A) from practitioners and industry leaders. Your talk should focus on any area of the practical application of search technologies to real-world problems or on novel and emerging applications and topics in Search and Information Retrieval.  If you want to discuss the challenges you tackle as well as their solutions or present your latest innovation, Search Solutions is the venue for you. Search Solutions is attended by students and practitioners from academia and industry alike. 

Due to the COVID-19 situation, Search Solutions 2020 will be completely online, making it accessible for a worldwide audience. We will operate on a UK timezone. More information about Search Solutions 2020 including pointers to past Search Solution events can be found at https://irsg.bcs.org/SearchSolutions/2020/sse2020.php.

Proposal submission

Please provide an extended abstract (max 1 page) describing your topic to be presented in a 30-minute presentation plus a short speaker bio (1 paragraph). Please send your 1-page proposal for a talk at Search Solutions 2020 by Friday, September 11 (AoE)  to Ingo Frommholz <ifrommholz@acm.org>. Please use the subject “SearchSolutions2020 Proposal”.

Selection Procedure

All proposals will be reviewed and approved by the organising committee. The selection criteria will focus on the quality of the content and the appropriateness of it to the main theme of search solutions – namely practitioner issues.

Organising Committee

  • Ingo Frommholz, University of Bedfordshire, UK
  • Tony Russell-Rose, UXLabs and Goldsmiths, University of London, UK
  • Udo Kruschwitz, University of Regensburg, Germany
  • Stefan Rueger, Open University, UK
  • Dyaa Albakour, Signal AI, UK
  • Martin White, Intranet Focus Ltd, UK
  • Haiming Liu, University of Bedfordshire, UK


For further enquiries please contact Ingo Frommholz <ifrommholz@acm.org>. 


About Ingo Frommholz
Ingo Frommholz

Ingo is Reader in Data Science at the University of Wolverhampton, UK. His research focuses on different aspects of information retrieval, in particular formal models for user-oriented search and digital libraries, with emphasis on polyrepresentation, annotation-based retrieval, interactive quantum-based IR and probabilistic and logic-based models. Ingo is actively sharing his passion for information retrieval and digital libraries on Twitter where he is known as @iFromm.

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