The hottest Ranking Substack posts right now

The heart of the Fast & Furious franchise is thrilling stunt driving and practical stunts.
Compelling stakes and charismatic villains are crucial for engaging F&F movies.
The bonds between characters are the heart of the franchise, emphasizing the importance of found families in millennial action films.

The current HackerNews ranking algorithm is based on a simple formula involving points, age, and a constant factor.
Proposing a new approach called HackerRank that incorporates PageRank-like scoring for user profiles based on upvotes and takes flagging into account.
Additional ideas for improving the ranking algorithm include considering user submission upvotes, reading time, and website reputation.

GPT makes content-based feed ranking easy and has the potential to shift ranking power to users and groups.
The ChatGPT API simplifies the process of creating content-based ranking models, making it more accessible and efficient.
Using large language models like GPT to generate labels for training small models can lead to practical and cost-effective approaches in content-based ranking.

Total ordering means you can rank all your options from best to worst. For example, you can see which forex provider offers the best deal for your money.
Partial ordering is when you can compare some options, but not others. Like, you might know one car is better than another, but you can't say how a car compares to a scooter.
In total ordering, you end up with one best choice, while in partial ordering, there can be multiple good choices without a clear best.

Position bias can affect the inputs of machine learning models when features reflect prior user behavior, leading to biased estimations of relevance.
Using inverse propensity weighting (IPW) like IPW-CTR can help mitigate position bias in features, but it can result in high variance due to dividing by small numbers.
The choice of weights to measure position bias is crucial, as observed click propensities may overestimate the bias, impacting the performance of features designed to address bias-variance trade-offs.

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Reading Joyce's Ulysses can be challenging due to its cryptic writing and dense text but offers moments of beautiful prose that make the struggle worth it
The episodes of Joyce's Ulysses range in style and difficulty, with each offering unique and sometimes obscure insights into the characters and narrative
The novel delves into the subconscious of the characters in a psychedelic way, presenting a mix of sublime and occasionally disgusting experiences

The ProSocial Ranking Challenge is offering a chance to test ranking algorithms that can improve social media content and outcomes.
The challenge will assess the impact of different algorithms on social media users' knowledge, feelings, and interactions.
The competition involves developing and testing new ranking algorithms using a browser extension to manipulate content on Facebook, Reddit, and other platforms.