Suppose a revenue-maximizing recommendation algorithm concludes from past data that more revenue is generated by showing the ad to Group A compared to Group B. In that case, the ad-serving algorithm will eventually end up showing that ad exclusively to Group A

Cross-domain recommendation (CDR) offers a promising solution to the data sparsity problem by enabling knowledge transfer between source and target domains. However, many recent CDR models overlook crucial issues such as privacy as well as the risk of negative transfer (which negatively impact model performance), especially in multi-domain settings.

KuaiRand Dataset and compare them against KuaiSim to further assess their performance and behavioral differences.

This lack of rich textual edge annotations significantly limits the exploration of contextual relationships between entities, hindering deeper insights into graph-structured data.

This paper investigates ML systems serving a group of users, with multiple models/services, each aimed at specializing to a sub-group of users.

'What's something you're passionate about that not many people know?' 'What's something you're passionate about that not many people know?' Agenic AI apps first interview you and then give you limited matches selected for'similarity and reciprocity of personality' Dating apps exploit you, dating profiles lie to you, and sex is basically something old people used to do. You might as well consider it: can AI help you find love? For a handful of tech entrepreneurs and a few brave Londoners, the answer is "maybe". No, this is not a story about humans falling in love with sexy computer voices - and strictly speaking, AI dating of some variety has been around for a while. Most big platforms have integrated machine learning and some AI features into their offerings over the past few years.

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