HighWire Press, a technology platform and strategic partner to scholarly publishers and societies, and TrendMD, a scholarly content recommendation engine, have partnered to increase research discoverability.
HighWire, which hosts more than seven million articles in 3,500 publications, will enable publishers to integrate the TrendMD recommendation engine, which is aimed at increasing article awareness and readership by providing suggested articles personalised to individual readers’ interests and behaviour.
TrendMD generates 120 million article recommendations to an expanding network of 16 million unique readers each month across 1,800 journals published by world leading publishing partners.
A test conducted in July 2015 by TrendMD evaluated the impact of its article recommendations. In a single week, article views increased 28 per cent overall when the selected group of articles was compared to a control group, with 10 per cent attributed to standard recommendations and 18 per cent from publisher-sponsored article recommendations.
Paul Kudlow, TrendMD co-founder, said: 'TrendMD recommendations are not based only on semantic and other typical criteria. We integrate what the user is reading at the moment and what other recommended articles he or she and others also clicked on from the TrendMD widget across all visits to articles on TrendMD’s network.
'Collaborative filtering, like Amazon’s “other people also bought”, and personalisation based on reader interactions across the entire publisher network drive the recommendation engine.'
'HighWire’s pragmatic innovation strategy is focused on delivering impactful solutions that solve real problems for publishers, editors, researchers and information professionals,' said Dan Filby, CEO of HighWire Press. 'We are pleased to partner with TrendMD to help our publishing partners increase discoverability of their research with this new integration.'