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Archive for the ‘User experience’ Category

I am delighted to announce publication of our latest open-access scholarly paper ‘Rethinking ‘Advanced Search’: A New Approach to Complex Query Formulation‘, which has just been published in the proceedings of the 41st European Conference on Information Retrieval (ECIR) in Cologne. This work is a collaboration with Jon Chamberlain and Udo Kruschwitz of Essex University, and accompanies our demo at the event.

The paper focuses on the application of query visualisation to structured searching and in particular the challenges associated with the recruitment profession, and hopefully complements some of the more opinion or design-oriented posts on this site. I’ve appended the abstract below. For free access to a copy, visit the ECIR website.

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I am delighted to announce publication of our latest open-access scholarly paper ‘A Visual Approach to Query Formulation for Systematic Search‘, which has just been published in the proceedings of the 4th ACM SIGIR Conference on Human Information Interaction and Retrieval. This work is a collaboration with Jon Chamberlain of Essex University and Farhad Shokraneh of Nottingham University, and accompanies our demo at the event.

The paper focuses on the application of query visualisation to healthcare information, and hopefully complements some of the more opinion or design-oriented posts on this site. I’ve appended the abstract below. For free access to a copy, visit the ACM Digital Library.

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Job opening: UX Researcher

I am hiring for the following position which combines UX and AI in an applied R&D setting. It offers flexible working and the opportunity to shape the development of a new AI product within a grant funded academia/industry partnership. Further details below (note the closing date) Feel free to ping me if you’d like to know more.

Job opening: UX Researcher

The University of Essex in partnership with Profusion offers an exciting opportunity to drive the development of a new AI product for fundraisers and retailers. In its beta phase, we are looking for a user researcher to work with our testing partners and our in-house developer and data team to create a user-friendly insight led product for commercial sale. The product to be user tested is a data insight tool which enables charities to retain, engage and increase income from their donors. The tool segments donors to enable charities to understand their behaviour and deliver targeted marketing in a timely manner at an individual level to increase income.

This post is part time and fixed term for nine months and is based at the Profusion offices in London.

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In case you missed it last time (since it filled up pretty quickly), there’s another chance to catch my full-day designing search tutorial in London on April 25. I’ll be presenting a full day course called Search Usability: Filters and Facets, which focuses on faceted search and provides deeper coverage of the key topics along with a variety of practicals and group exercises.

For further details and registration, see the UKeIG event page. In the meantime, I’ve appended further details below.

Hope to see you there!

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Most of us are familiar Google Scholar: a freely available subset of Google that indexes the world’s scholarly literature across a range of disciplines. With its database of over 389 million documents including articles, citations and patents, it has become an indispensable resource for scholars and researchers across the globe. Which is why we recently added Google Scholar integration to 2dSearch, thereby offering a tool of immediate utility to anyone wishing to search the world’s scientific literature in a systematic manner.

Now, we’d always known that despite its extensive index, searching GS is subject to the ‘secret sauce’ of Google’s search algorithms, and that this can compromise the ability of users to formulate sophisticated, reproducible searches. But what we perhaps didn’t realise was just how limited that support is. In particular, GS seems to support only 1 set of synonyms (i.e. a substring with terms separated by OR). For example, the following search string would seem to parse correctly:

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Last month I announced the line-up for Search Solutions 2018, to be held at BCS London on November 27. This year we’re also offering a Tutorial Programme, which will run the day before. The programme consists of three half day-tutorials:

  • 09:30-13:00 Designing Search (Dr. Tony Russell-Rose, 2dSearch)
  • 14:00-17:30 Text Analysis with GATE (Diana Maynard, University of Sheffield)
  • 14:00-17:30 Reproducible and Replicable Search for Research Methods in Systematic Reviews, (Farhad ShokranehUniversity of Nottingham)

I’ve appended further details of my tutorial below. Full details of pricing and registration are available on the Search Solutions website. Note that the closing date for bookings is Friday 23rd November 2018. Hope to see you there!

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If you were tasked with designing a universal framework for search query formulation, where would you start? Well, you could start from a command-line paradigm. After all, that’s the approach adopted by most query builders and ‘advanced search’ forms. But convention aside, is that really the best place to start? Personally, I am not convinced – IMHO command line approaches reflect the days when searches were conducted via remote terminals to subscription databases, and in that respect, they represent the past, not the future. Moreover, using Boolean strings to articulate complex information needs suffers from a number of fundamental shortcomings, in particular regarding scalability, efficiency and transparency. So what’s the alternative?

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