short video recommendation

Sohu Tech Products

Apr 10, 2024 · Artificial Intelligence

Causal Inference in Recommendation Systems: Disentangling Interests and Debiasing Short Video Recommendations

The presentation surveys recent causal‑inference research for recommendation systems, introducing the DICE framework to separate user interest from conformity, the CLSR model to disentangle long‑term and short‑term preferences, and the DVR approach with WTG metrics to debias short‑video recommendations, demonstrating improved accuracy, fairness, and interpretability.

bias mitigationcausal inferenceinterest disentanglement

0 likes · 23 min read

Causal Inference in Recommendation Systems: Disentangling Interests and Debiasing Short Video Recommendations

DataFunTalk

Apr 7, 2024 · Artificial Intelligence

Causal Inference for Recommendation Systems: Disentangling User Interest, Conformity, Long‑Term/Short‑Term Interests, and Debiasing Short‑Video Recommendations

This presentation reviews recent research on applying causal inference to recommendation systems, covering causal embedding for separating user interest and conformity, contrastive learning for disentangling long‑term and short‑term interests, and a debiasing framework for short‑video recommendation that uses watch‑time‑gain metrics and adversarial learning to mitigate duration bias.

bias mitigationcausal inferenceinterest disentanglement

0 likes · 23 min read

Causal Inference for Recommendation Systems: Disentangling User Interest, Conformity, Long‑Term/Short‑Term Interests, and Debiasing Short‑Video Recommendations

DataFunSummit

Apr 2, 2024 · Artificial Intelligence

Reinforcement Learning: Fundamentals, Classic Algorithms, and Applications in Short Video Recommendation

This article provides an in-depth overview of reinforcement learning, covering its goals, mathematical foundations such as Markov Decision Processes, classic algorithms like DQN, and practical applications including short‑video recommendation systems that aim to improve user retention through RL‑based ranking.

DQNMarkov decision processRL applications

0 likes · 12 min read

Reinforcement Learning: Fundamentals, Classic Algorithms, and Applications in Short Video Recommendation

DataFunTalk

Feb 4, 2024 · Artificial Intelligence

Applying Causal Inference Techniques to Short‑Video Recommendation at Kuaishou

This article presents how causal inference methods are applied to Kuaishou’s single‑column short‑video recommendation, covering the platform’s recommendation scenario, model representations, duration bias mitigation, viewing‑time prediction techniques such as D2Q and TPM, experimental results, and future research directions.

Kuaishoucausal inferenceduration bias

0 likes · 19 min read

Applying Causal Inference Techniques to Short‑Video Recommendation at Kuaishou

Kuaishou Tech

Nov 17, 2023 · Artificial Intelligence

Short Video Recommendation Algorithms Forum

A forum discussing frontiers in short video recommendation algorithms, featuring academic research from Kuaishou and collaborations with universities, including topics like reinforcement learning and graph neural networks for personalized recommendations.

Algorithmsartificial intelligencemachine learning

0 likes · 4 min read

Short Video Recommendation Algorithms Forum

Kuaishou Tech

Oct 21, 2022 · Artificial Intelligence

Real-time Short Video Recommendation on Mobile Devices: System Design, Model Architecture, and Experimental Evaluation

The paper presents a lightweight on‑device re‑ranking system for short‑video recommendation that leverages real‑time user feedback and context‑aware generative ranking, detailing its architecture, feature engineering, beam‑search optimization, and both offline and online experimental results showing significant performance gains.

beam searchcontext-awarefeature engineering

0 likes · 12 min read

Real-time Short Video Recommendation on Mobile Devices: System Design, Model Architecture, and Experimental Evaluation