UNITE.AI – Aug 27 – Researchers from the UK have developed an entirely image-based recommender system for online dating matches which only takes into account whether or not two users are attracted to each other's photos, and have found that it outperforms less 'shallow' systems in terms of obtaining an accurate match. The system is called Temporal Image-Based Reciprocal Recommender (TIRR), and uses Recurrent Neural Networks (RNNs) to interpret a user's historical predilection for faces that he or she encounters while browsing for potential matches. The paper is entitled Photos Are All You Need for Reciprocal Recommendation in Online Dating, and comes from two researchers at the University of Bristol, improving notably upon a similar system (called ImRec) released by the same team in 2020.
by Martin Anderson
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