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Archive for the ‘Search’ Category

IRSG logoJust in case you missed it, here are details of the latest issue of Informer, which came out on this week. As usual, lots of good stuff, with a mix of conference reviews, feature articles, news and updates in the world of IR. For further details see the Informer website. Or if you fancy becoming a contributor, get in touch!

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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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They say there’s no such thing as a free lunch. But occasionally, an opportunity comes along that represents a uniquely valuable proposition, with no expectation of anything in return (apart from your time and attention). One such opportunity is the Search Insights Report.

This document embodies the collective expertise of a group of eight search implementation specialists working in Europe and North America. The report is a response to those from analyst companies such as Gartner and Forrester which show little understanding of the world of enterprise, e-commerce and larger-scale web site search from an implementation perspective. The objective was to share vendor-independent experience that they have gathered in a wide range of projects over the last decade, and I am honoured to have been invited to offer my own views as a guest contributor.

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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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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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IRSG logoJust in case you missed it, here are details of the latest issue of Informer, which came out on this week. As usual, lots of good stuff, with a mix of conference reviews, feature articles, news and updates in the world of IR. For further details see the Informer website. Or if you fancy becoming a contributor, get in touch!

(more…)

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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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