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ENTITY last.fm

last.fm

PulseAugur coverage of last.fm — every cluster mentioning last.fm across labs, papers, and developer communities, ranked by signal.

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Total · 30d
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SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_148061 ·

    New framework CoSimRec measures coordinated content amplification in recommender systems

    Researchers have developed CoSimRec, a new agent-based framework designed to evaluate how recommender systems amplify coordinated content. This framework models dynamic ranking, user responses, and interventions within …

  2. RESEARCH · CL_115273 ·

    New methods enhance contextual bandit algorithms with graph reduction and offline learning · 3 sources tracked

    Researchers have developed new methods for contextual bandits, a type of machine learning problem focused on making sequential decisions. One approach, GraphDR-LinUCB, utilizes graph dimensionality reduction to improve …

  3. MEME · CL_69758 ·

    Last.fm robots.txt includes Asimov's Three Laws of Robotics

    Last.fm's robots.txt file humorously incorporates Isaac Asimov's Three Laws of Robotics. The directives include "Disallow: /harming/humans," "Disallow: /ignoring/human/orders," and "Disallow: /harm/to/self." This is a p…

  4. TOOL · CL_55645 ·

    Last.fm Regains Independence After Two Decades

    Last.fm has announced its return to independence, nearly two decades after being acquired by CBS. The music tracking service has separated from Paramount Skydance, assuring users that their profiles, scrobbles, data, an…

  5. TOOL · CL_55187 ·

    AI startup Tonada aims to control ambient music in physical spaces

    A new startup called Tonada is developing an AI-powered operating system for ambient music in physical spaces. This system aims to generate unique, royalty-free audio catalogs based on a brand's identity, streamed and a…

  6. MEME · CL_48211 ·

    Open-source music recommendation systems sought by Reddit users

    A Reddit user is seeking open-source alternatives to proprietary music recommendation systems like Spotify Radio or YouTube Music Mix. They propose that Large Language Models (LLMs) could be effective if trained on both…