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Posts Tagged ‘Information seeking’

Last week I had the pleasure of presenting the keynote talk at the Supporting Discovery of Archival Collections: Challenges and Opportunities workshop, held at Wellcome Trust in London. The day was a thoroughly enjoyable mix of presentations and discussions and I learned a great deal. Many thanks to Paul Clough and his fellow organizers Paula Goodale (Sheffield University), Chris Hilton (Wellcome Trust), Sarah Higgins (Aberystwyth University) and Pauline Rafferty (Aberystwyth University). There are plans to produce a paper summarising the workshop findings which I very much look forward to seeing. In the meantime, the slides from my own talk are appended below, titled “Designing the Search Experience: The Language of Discovery”.

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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 May 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 new practicals and group exercises.

It’s also very competitively priced from just £180 per person – contrast that with a rate of ~£659 a day for this comparable offering!

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

Hope to see you there!

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Uncle_Sam_(pointing_finger)

And finally… here’s the third installment of my trilogy of posts on the information retrieval challenges of recruitment professionals. The background to this (in case you missed the previous two) is that a few months ago I published a post describing our InnovateUK-funded research project investigating professional search strategies in the workplace. As you may recall, we surveyed a number of professions, and the one we analyzed first was (cue drum roll)… recruitment professionals.

It’s a profession that information retrieval researchers haven’t traditionally given much thought to (myself included), but it turns out that they routinely create and execute some of the most complex search queries of any profession, and deal with challenges that most IR researchers would recognize as wholly within their compass, e.g. query expansion, optimization, and results evaluation.

What follows is the final post summarizing those results. In part 1, we focused on the research methodology and background to the study. In part 2, we discussed the search tasks that they perform, how they construct the search queries and the resources they use. Here, we focus on how recruiters assess and evaluate the results of their search, and their views on the features of an ideal search engine. The published paper can be downloaded from Sage journals (Russell-Rose, T and Chamberlain, J. “Searching for talent: The information retrieval challenges of recruitment professionals”. Business Information Review, March 2016, vol. 33 no. 1 40-48).

As usual, comments and feedback are welcome – particularly so from the recruitment community who are best placed to interpret and contextualize these findings.

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Here’s a sample of some of the things we’re working on at UXLabs this year, neatly packaged into Masters level ‘internships’. I use quotes there as it’s a convenient term used by many of my academic colleagues, but these opportunities are (a) unpaid and (b) remote (i.e. hosted by your own institution). So perhaps ‘co-supervised MSc projects initiated by a commercial partner’ is more accurate term… Anyway, what we offer is support, expertise, supervision and access to real world data/challenges. If you are interested in working with us on the challenges below, get in touch. (more…)

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Uncle_Sam_(pointing_finger)

Better late than never… here’s the long-delayed follow up to my original post on the information retrieval challenges of recruitment professionals. The background to this (in case you missed the first post) is that a few months ago I published a post describing our InnovateUK-funded research project investigating professional search strategies in the workplace. As you may recall, we surveyed a number of professions, and the one we analyzed first was (cue drum roll)… recruitment professionals.

It’s a profession that information retrieval researchers haven’t traditionally given much thought to (myself included), but it turns out that they routinely create and execute some of the most complex search queries of any profession, and deal with challenges that most IR researchers would recognize as wholly within their compass, e.g. query expansion, optimization, and results evaluation.

What follows is the second in a series of posts summarizing those results. In part 1, we focused on the research methodology and background to the study. Here, we focus on the search tasks that they perform, how they construct the search queries and the resources they use.

As usual, comments and feedback are welcome – particularly so from the recruitment community who are best placed to provide the insight needed to interpret and contextualize these findings.

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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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A little while ago I published a post describing an InnovateUK-funded project investigating the use of complex search strategies in the workplace, and how we were undertaking some qualitative research interviewing professionals from various sectors. I’m pleased to report that we have now completed this study and a couple of weeks ago I presented the first set of results at Search Solutions 2015. It turns out so far that the search problems faced by ostensibly unrelated professions have much more in common than we’d anticipated, but the strategies for solving those problems rely on radically differing approaches and tools.

Anyway, here are my slides, focusing on one of the three professions we studied (spoiler alert: you’ll have to view the presentation to see which one!). As always, comments and feedback welcome.

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Uncle_Sam_(pointing_finger)

A few months ago I published a post describing our InnovateUK-funded research project investigating professional search strategies in the workplace. I’m pleased to say that the project has now finished, and we are currently analyzing the results. As you may recall, we surveyed a number of professions, but the one we are examining first is (cue drum roll)… recruitment professionals.

Yes, I know it’s a profession that information retrieval researchers haven’t traditionally given much thought to (myself included), but it turns out that these individuals routinely create and execute some of the most complex search queries of any profession, and deal with challenges that most IR researchers would recognise as wholly within their compass (such as query expansion and optimization, results evaluation, etc.).

What follows is the first of a series of posts summarising those results. So here’s part 1, which focuses on the research methodology and background to the study. As usual, comments and feedback are welcome – particularly so from the recruitment community who are uniquely placed to provide the qualitative insight needed to accurately interpret this data.

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search strategyRegular readers of this blog will know that over the last few months I’ve been looking in detail at the process of search strategy formulation, i.e. the various ways in which professionals go about solving the problem of resolving complex information needs.

Some professions (e.g. recruitment professionals) employ complex search queries to address sourcing needs, generating queries such as this:

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This week I’m pleased to present a guest post written by my colleague and researcher on the InnovateUK project Jon Chamberlain. Jon’s been doing some interesting work on analyzing Boolean strings and visualizing them using spider diagrams. Over to you Jon!

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