recommendation algorithms

DataFunTalk

Jan 16, 2025 · Artificial Intelligence

Challenges and Opportunities for Xiaohongshu’s Recommendation System Amid TikTok User Influx

The potential ban of TikTok has driven a wave of users to Xiaohongshu, prompting rapid growth but also exposing language, regulatory, and recommendation algorithm challenges that require AI‑driven translation, multi‑language moderation, and a revamped recommendation engine to sustain the platform’s expansion.

AI TranslationXiaohongshucontent moderation

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Challenges and Opportunities for Xiaohongshu’s Recommendation System Amid TikTok User Influx

Model Perspective

Dec 3, 2024 · Artificial Intelligence

How Recommendation Algorithms Shape Our Habits—and What You Can Do About It

The article examines how recommendation algorithms reinforce user preferences, turning habits into stable feedback loops, and proposes mathematical models and practical strategies to introduce diversity and break behavioral fixation in the age of algorithmic personalization.

behavioral modelingdiversityhabit formation

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How Recommendation Algorithms Shape Our Habits—and What You Can Do About It

Kuaishou Tech

Nov 21, 2023 · Artificial Intelligence

Kuaishou Academic Forum on Cutting-Edge Short Video Recommendation Algorithms (Nov 23, 2023)

The Kuaishou Academic Forum held on November 23 in Beijing presented cutting‑edge research on short‑video recommendation algorithms, featuring talks on reinforcement learning, user interest modeling, graph neural networks, and a comprehensive recommender‑system simulator, while also offering registration details and a brief company overview.

Graph Neural NetworksKuaishouacademic forum

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Kuaishou Academic Forum on Cutting-Edge Short Video Recommendation Algorithms (Nov 23, 2023)

Architect

Jun 30, 2020 · Artificial Intelligence

Analyzing TikTok's US Retention Surge: Algorithmic, Operational, and Marketing Factors

The article examines TikTok's dramatic increase in US user retention by dissecting supply‑side content growth, operational localization, marketing exposure, algorithmic matching, and external influences, and then proposes data‑driven and algorithmic interventions to sustain and amplify the platform's growth.

Growth StrategiesTikTokcontent moderation

0 likes · 17 min read

Analyzing TikTok's US Retention Surge: Algorithmic, Operational, and Marketing Factors

Meitu Technology

Dec 19, 2017 · Big Data

Meitu Internet Technology Salon Session 7: Practices in Recommendation Algorithms, Big Data, and Personalized Recommendation

At Meitu’s seventh Internet Technology Salon in Xiamen, over a hundred experts discussed recommendation algorithms and big‑data solutions, with talks on the Arachnia log‑collection system, the Naix distributed bitmap service, Meitu’s personalized recommendation pipeline challenges, and novel data‑missing‑theory models for improved performance.

Big DataDistributed Bitmapdata collection

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Meitu Internet Technology Salon Session 7: Practices in Recommendation Algorithms, Big Data, and Personalized Recommendation