Mega Viral Games

Fast and Reliable Video Game Collections | Myrient

Experience an unmatched video game archive with fast downloads and no ads.

gamesgamesgamesgamesgames/lexicon

An open data standard for describing video games and their data on ATProto.

Gaming by @sweetbee.vip

All-inclusive, "For-You" style video games feed. All gamers welcome. Anything related to gaming welcome. Anyone can use #gaming to include relevant posts.

How Platform Recommenders Work – Center for Human-Compatible Artificial Intelligence

A recommender system (or simply ‘recommender’) is an algorithm that takes a large set of items and determines which of those to display to a user—think the Facebook News Feed, the Twitter timeline, Google News, or the YouTube homepage. Recommenders are necessary tools to help navigate the sheer volume of content produced each day, but their scale and rapid development can cause unintended consequences. Facebook’s algorithms have been blamed for radicalizing users, TikTok’s for inundating teens with eating-disorder videos, and Twitter’s for political bias. 

Rogue

Ad-free video game news, guides, opinions, history, culture, previews, interviews, and reviews written by humans, for humans

News - This Week in Videogames

Covering the important things happening in the world of videogames. News, reviews, and insights without ads or filler content.

The Video Game Library | All Books on Videogames

The Video Game Library is a site that celebrates books about videogames. From artbooks and children's books to novelizations and biographies. Indie writers to best-selling authors. Atari to Xbox. Come have a look and discover some books.

Artificial adventures

I've been playing around with AI. Nothing I'm doing is particularly exciting, but the internet tends to only surface the most extreme opinions in either direction and I found it useful to hear from friends who have opinions that aren't optimized for click-through rate.

Astrarium Digital (@astrariumdigital.bsky.social)

✨🎮Helping indie games find their players! 🎮✨ We help indie developers grow wishlists & launch with confidence - games don't fail because they're bad, they fail because no-one sees them. 📅 Let's chat: https://calendly.com/accounts-astrarium/30min

Letting Users Choose Recommender Algorithms: An Experimental Study

Recommender systems are not one-size-fits-all; different algorithms and data sources have different strengths, making them a better or worse fit for different users and use cases. As one way of taking advantage of the relative merits of different algorithms, we gave users the ability to change the algorithm providing their movie recommendations and studied how they make use of this power. We conducted our study with the launch of a new version of the MovieLens movie recommender that supports multiple recommender algorithms and allows users to choose the algorithm they want to provide their recommendations. We examine log data from user interactions with this new feature to understand whether and how users switch among recommender algorithms, and select a final algorithm to use. We also look at the properties of the algorithms as they were experienced by users and examine their relationships to user behavior.

Popfeed

Discover movies, tv shows, books, and music with friends.

Michael Tsai - Blog - App Store Personalized Recommendations and Keylogging

This week, Apple announced a series of discovery features that will personalize app recommendations based on users’ interests and behavior, providing a new way for developers to have their app discovered.

Cloudhiker - The greatest Sites of the Internet

Discover the internet and find the most interesting, weird or awesome websites.