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Building a related article recommender system
6 December 2018
Find out what we learned at the 7th RecSys London. Maya Hristakeva, who works at Elsevier, gave a talk titled: ‘Beyond Collaborative Filtering: Learning to Rank Research Articles’. Here's a detailed recap on how her team built, iterated and improved the Science Direct related article recommender.
What can AI really do for publishing?
16 July 2018
Catch the highlights from the talks by Isabel Thomspon, Senior Strategy Analyst from Holtzbrinck, and our co-founder and CEO Mads Holmen at The Society of Scholarly Publishing's event: 'Humans, AI, and Decision Making' - how can we make use of data to help us make better decisions?
A digital librarian for all
10 July 2018
Bibblio’s Mads Holmen was at The London Festival of Learning highlighting what good recommendations can mean for learning: find out why it’s vital for any platform interacting with (lifelong) learners, teachers or researchers.
Our favourite takeaways: food, dating and other recommendations
25 June 2018
Get the insights from Bibblio Events' inaugural Recommender Systems Meetup in Berlin: RecSys Berlin. We learn all about how dating and food sometimes need different approaches - and different ways of doing recommendations too ;)
What We Learnt at Our Inaugural Recommender Meetup in NYC
24 May 2018
Find out what we learnt from the presentations at the inaugural RecSys New York City meetup - there were lots of great insights on the right systems to solve problems from recommending news stories, to music and recipe recommendations!
Food for thought from London: the future of recommender systems
1 May 2018
Discover what happened at the last get together of the RecSys London meetup - three great talks for anyone interested in algorithm development and recommender systems! (and pizza, courtesy of our friends at Deliveroo)
Insights from an evening with recommender systems experts
8 February 2018
Bibblio Labs organised the third RecSys meetup in London, and we heard all about hacking a recommender, evaluation metrics and production tools for recommenders
What are the three ways to build a recommender system when you don’t have audience data?
6 February 2018
Learn three ways to build a recommender system when you don't have data on your users or audience from data scientist and algorithm builder Dr. Mahbub Gani
What matters most when building algorithms - people, process or code?
1 February 2018
Learn the formula behind Bibblio’s method for building algorithms for its recommender system: harnessing the whole team and valuing process as well as code.
The secret lives of algorithms
30 November 2017
Algorithms have a big impact, but their workings are often hidden. This lack of transparency has led to diminishing public trust in them. How can we do better?
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