We’ve recently begun to make use of readers' click data to help personalize the recommendations they receive across the TrendMD network. The results so far are pretty exciting, and offer a glimpse into how personalization can help readers discover content that’s actually interesting to them. I’ll illustrate…

We recently completed a set of crossover studies over a 6-week period to determine TrendMD’s effect on weekly pageviews for a group of 1000 randomly selected articles published in BMJ Open. Overall we found that TrendMD increased weekly pageviews by 28% relative to baseline weekly traffic for the group…

TrendMD’s content recommendation engine now reaches 12 million targeted readers monthly, delivering 450,000 article readers in the last month - offering innovative content marketing solution. Faced with the challenge of finding research they need across a staggering and ever-growing number of articles online, researchers and clinicians are clicking…

Personalized article recommendations reach 16 million engaged readers each month across rapidly growing network of scholarly publications HighWire Press, Inc., the leading technology platform and strategic partner to scholarly publishers and societies, and TrendMD, the world’s leading scholarly content discoverability recommendation engine, announce a technology partnership to increase research…

TrendMD’s collaborative filtering engine improves clickthrough rates 272% compared to standard ‘similar article’ algorithm in A/B trial Whenever we listen to music, watch videos or make purchases online, websites such as Spotify, Netflix and Amazon use sophisticated algorithms to suggest additional items which may be of interest. Scholarly…