I’m delighted to report that our paper ‘Interactive query expansion for professional search applications‘ has just been published in the journal Business Information Review. It’s been a long time in the making, primarily as the work was completed over an extended period of time involving many iterations, not all of which were successful (in the product development sense). But it does represent a concise summary of our work in investigating knowledge-based and distributional (word embedding) approaches to the generation of interactive query suggestions for professional search (which, I should point out, poses a qualitatively different and greater challenge than query suggestions for traditional keyword/web search). In fact, this paper represents an abridged version of the full results, since for reasons of space we were obliged to omit certain techniques that were less successful. For full details of those, please refer to our pre-print on arXiv.
Anyway, feedback so far has been very informative. Keep it coming in! New release coming soon, so happy to accommodate thoughts & suggestions. Abstract appended below.