Tootfinder

Written in 2012, very soon after Googles and Facebooks of the world started to create information bubbles for us to trap ourselves in. It will be annoying, but I think useful to see the perspective at the time.
#books #nextread

Another week in which my filter bubble is both “I don’t like tech companies cramming AI into everything” and “Apple has fallen concerningly behind in the race to cram AI into everything”.

FAIR-MATCH: A Multi-Objective Framework for Bias Mitigation in Reciprocal Dating Recommendations
Madhav Kotecha
https://arxiv.org/abs/2507.01063 https://…

FAIR-MATCH: A Multi-Objective Framework for Bias Mitigation in Reciprocal Dating Recommendations
Online dating platforms have fundamentally transformed the formation of romantic relationships, with millions of users worldwide relying on algorithmic matching systems to find compatible partners. However, current recommendation systems in dating applications suffer from significant algorithmic deficiencies, including but not limited to popularity bias, filter bubble effects, and inadequate reciprocity modeling that limit effectiveness and introduce harmful biases. This research integrates fou…