X is revamping the algorithm that ranks posts in the "For You" feed. The engineering team said it will post changes to the algorithm on GitHub every four weeks, including explainers on changes. The ...

Abstract: Latent Dirichlet Allocation is a classic topic model which can extract latent topic from large data corpus. This model assumes that if a document is relevant to a topic, then all tokens in ...

For the first time, Instagram will start letting you control the topics its algorithm recommends, much as you now can on TikTok. The new feature is starting with the Reels tab but will eventually come ...

Instagram is back with a new feature that will allow users to "tune" their algorithm to only display the content they prefer to see, which will be first made available to Reels. The feature is still ...

LinkedIn support accidentally revealed its algorithm: it tracks "viewer tolerance," reducing visibility for authors whose posts are consistently ignored. To succeed, diversify content types weekly, ...

The original version of this story appeared in Quanta Magazine. If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle ...

Forbes contributors publish independent expert analyses and insights. Jodie Cook covers AI, marketing & LinkedIn for coaches & entrepreneurs To master LinkedIn's evolving algorithm, be intentional.

1 Unit ICT, Strategy and Policy, TNO, The Hague, Netherlands 2 Department of Semantics, Cybersecurity and Services, University of Twente, Enschede, Netherlands Topic modelling refers to a popular set ...

The Louis-Dreyfus family, shareholder of Louis Dreyfus Armateurs (LDA), and InfraVia Capital Partners, a leading independent private equity company in Europe, have completed the strategic transaction ...

Department of General Surgery, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China Background: Cutaneous myiasis, one of the most frequently diagnosed ...

Abstract: This work aims to compare two different Feature Extraction Algorithms (FEAs) viz. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), using a K-Nearest Neighbor (KNN) ...