Tootfinder

Ble invitert til å holde en presentasjon og workshop i Kristiansand i dag, og bestemte meg for å ta tog hele veien i stedet for tog til Gardemoen og fly derfra.
Det betŸd jeg måtte stå opp kl. 4 😫 for å 5.04 toget fra Moelv, men nå som vi ankommer Nelaug og har en snau time igjen må jeg si at dette går overraskende greit. Total reisetid blir ca. 1 time lenger enn det ville blitt ellers, men jeg slipper stress på flyplassen, og sitter mye mer behagelig enn på et fly.
Skal tilbake …

I just got a spam message from a electronics shop here in Norway. It is highly offensive to me on multiple levels. It is an invitation to a motivational course for the elderly on AI. I mean WTF!?
• I hate spam and avoid being on these SMS/Mailing lists at all costs. How did they get my details?
• AI!? Seriously I could think of few things more boring than listening to some fanboy drone on.
• I am part of 'the elderly' now? Fuck you, Power!
Also… Kill me. 😭

Heterogeneous Influence Maximization in User Recommendation
Hongru Hou, Jiachen Sun, Wenqing Lin, Wendong Bi, Xiangrong Wang, Deqing Yang
https://arxiv.org/abs/2508.13517 https:…

Heterogeneous Influence Maximization in User Recommendation
User recommendation systems enhance user engagement by encouraging users to act as inviters to interact with other users (invitees), potentially fostering information propagation. Conventional recommendation methods typically focus on modeling interaction willingness. Influence-Maximization (IM) methods focus on identifying a set of users to maximize the information propagation. However, existing methods face two significant challenges. First, recommendation methods fail to unleash the candidat…