Social media’s next evolution: user-controlled algorithms

Social media feeds are becoming more customizable as platforms like Threads, Instagram, and TikTok introduce tools that let ...

How to tweak Instagram's algorithm to show you the content you really want

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You Can Now Customize Your Instagram Algorithm in the Main Feed

Instagram's Your Algorithm lets users fine-tune LLM-powered recommendations from topics to moods, marking Adam Mosseri’s ...

You can personalize your Instagram algorithm now — unless you want to see more posts from accounts you follow

Instagram just made it a whole lot easier to control what you see in your main feed. The app expanded its algorithm ...
Engadget

Spotify’s new Taste Profile feature lets users fine-tune their algorithm’s recommendations

You're responsible for your own Spotify algorithm now. On stage at SXSW, Spotify's co-CEO, Gustav Söderström, announced the Taste Profile feature, which allows users to personally customize exactly ...
CNBC

Meta launches AI algorithm personalization feature for Threads

Meta on Wednesday debuted an AI feature called "Dear Algo" that lets Threads users personalize their content-recommendation algorithms. Threads users will be able to tell the Dear Algo tool what kinds ...
Frontiers

Evolutionary algorithm-optimized feature fusion for accurate classification of shredded tobacco using multi-sensor data

Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
Digital Trends

Instagram is finally giving you an easy way to teach its algorithm what you like

What’s happened? Instagram is testing a new feature that gives users more control over the type of content they see on the platform. Why is this important? Instagram’s algorithm plays a major role in ...
C&EN

SOH Estimation Based on Multisource Feature Extraction and SSA-LSTM Algorithm

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. In contrast, data-driven methods do not rely on fixed models or ...
IEEE

A Surrogate-Assisted Multi-Phase Ensemble Feature Selection Algorithm With Particle Swarm Optimization in Imbalanced Data

Abstract: Feature selection based on evolutionary algorithm (EA) is an effective dimension reduction technology. However, existing EAs still constrained by high computational cost and easy-to-local ...