CORE Recommender: a plug in suggesting open access content Nancy Pontika, Lucas Anastasiou, Aristotelis Charalampous, Matteo Cancellieri, Samuel Pearce and Petr Knoth CORE Knowledge Media institute, The Open University

Discoverability of content in repositories Criticism of repositories (Salo, 2008; Konkiel, 2012; Acharya, 2015) “[The institutional repository] is like a roach motel. Data goes in, but it doesn’t come out.” (Salo, 2008)

Why is it needed? By integrating recommender into repositories, we can increase the number of incoming links to relevant resources, thereby increasing their accessibility.

CORE Services Source: https://core.ac.uk/services

Recommendations as a service CORE provides a non-personalised recommendation system for articles from across the global network of repositories. 8 million full texts 77 million metadata records 2683 repositories

What effect can it have? Increase accessibility means more engagement, higher Click-Through Rate (CTR) Twice as often people access resources on CORE via its recommender system than via search.

Recommendable items in the CORE recommender

CORE Recommender installations (and more to come…) Source: https://core.ac.uk/services#recommender

How does the CORE recommender work? Currently an article-article recommender system Preprocessing prior to the recommendations: enrichment with e.g. identifiers. document type and citation data Similarity measure/ranking function Post-filtering using record quality Feedback (crowdsourcing a black list)

What the CORE recommender is… Use of full text rather than just abstracts Ensure open access availability of recommended articles Free service Integration with repositories and availability over API Recommender paper: https://arxiv.org/abs/1705.00578

What the CORE recommender is not… It is not always right! But which recommendation system is? What the CORE recommender does not do? Compare the “quality” of the recommended articles with the “quality” of the initial paper Do we grasp alll the data from repositories? How clean is the data (how clean repo managers present data), identifiers are they available or not (DOIs) We don’t have a profile for CORE users I4OC

CORE recommender (add screenshots)