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Posts Tagged ‘Information visualization’

You may have noticed on this blog that I’ve been busy with a number of things just recently, but I’m pleased to report that we’ve been continuing to add useful features to 2dSearch, and one of them in particular deserves a shout out here.

As you may know, many professions need to perform searches that are comprehensive, accurate and repeatable, using strategies that search across multiple databases with platform-specific syntax and operators. For example, a recruiter looking to fill a particular data science role may want to search LinkedIn, Stackoverflow, Github, and other social forums to find suitable candidates. Likewise, a clinician or information professional performing a systematic literature review may need to search numerous databases such as PubMedEmbaseWeb of SciencePyscINFO, and more. In each case, their search query has to be manually ‘translated’ to the syntax and user interface of each database. All of this is tedious, error-prone, and inefficient.

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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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textmining

I received a pleasant surprise in the post today: my personal copy of Text Mining and Visualization: Case Studies Using Open-Source Tools, edited by Markus Hofmann and Andrew Chisholm. Now I don’t normally blog about books, since as editor of Informer there was a time when I would be sent all manner of titles for inspection and review. But I’ll make an exception here. This is partially since Chapter 7 is my own contribution (on mining search logs), as discussed in my earlier blog posts. This is complemented by 11 other chapters, covering a variety of topics organised into four sections:

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A little while ago I posted a piece examining some of the shortcomings in the way that search strategies are currently expressed; arguing that the approach essentially hasn’t changed in decades. Moreover, it is predicated on a rather primitive notation that owes much to first generation basic, relying on arbitrary concepts such as line numbers to convey structure and organisation.

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Just a quick reminder that next Friday (1st August) is the deadline for submissions to EuroHCIR 2014, which I am co-organising with Max Wilson, Birger Larsen, Preben Hansen and Kristian Norling. This is the fourth year we’ve run the event, so we’re hoping for a good set of submissions to keep up momentum. As before, we’re accepting both research and practice-oriented papers, so if you have any queries (particularly about the latter) just drop me a line.

The event itself is on 13 September at BCS London, with a poster session/social scheduled for the evening before. I’ve appended a summary of the call for papers below, and further details can be found at the EuroHCIR 2014 website. Hope to see you there!

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Expectation Maximization applied to a new sample of 100,000 sessions

In a previous post I discussed some initial investigations into the use of unsupervised learning techniques (i.e. clustering) to identify usage patterns in web search logs. As you may recall, we had some initial success in finding interesting patterns of user behaviour in the AOL log, but when we tried to extend this and replicate a previous study of the Excite log, things started to go somewhat awry. In this post, we investigate these issues, present the results of a revised procedure, and reflect on what they tell us about searcher behaviour.

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