content recommendation

Kuaishou Tech

Nov 30, 2024 · Artificial Intelligence

Kuaishou and Tsinghua University Win First Prize in Qian Weichang Chinese Information Processing Award for Content Recommendation Technology

Kuaishou and Tsinghua University were honored with the first‑place Qian Weichang Chinese Information Processing Science and Technology Award for their collaborative content recommendation project, which achieved international‑level innovations in explainable recommendation, bias correction, and edge intelligence, and has been applied widely in Kuaishou's platform and top academic conferences.

Artificial IntelligenceKuaishouRecommendation systems

0 likes · 5 min read

Kuaishou and Tsinghua University Win First Prize in Qian Weichang Chinese Information Processing Award for Content Recommendation Technology

DataFunTalk

Aug 21, 2022 · Artificial Intelligence

User Interest Segmentation and Clustering: Data Science Practices at iQIYI

The article presents iQIYI's data‑science‑driven approach to user interest segmentation, covering the design of weighted interest tags, their validation through blind surveys and AB‑tests, the creation of factual behavior tags, and advanced content‑based clustering methods for more precise audience targeting.

AB testingcontent recommendationdata science

0 likes · 10 min read

User Interest Segmentation and Clustering: Data Science Practices at iQIYI

DataFunSummit

Jan 19, 2022 · Artificial Intelligence

Feizhu Information Flow Content Recommendation: Architecture, Cold-Start Strategies, Multi-Modal Understanding, and Ranking Mechanisms

This article presents a comprehensive overview of Feizhu's information‑flow recommendation system, detailing its mixed‑material architecture, cold‑start recall and coarse‑ranking techniques, multi‑modal pre‑training and fine‑tuning, fine‑ranking with user‑state gating, and tiered traffic‑flow mechanisms for content delivery.

Cold StartRankingTravel

0 likes · 17 min read

Feizhu Information Flow Content Recommendation: Architecture, Cold-Start Strategies, Multi-Modal Understanding, and Ranking Mechanisms

Xianyu Technology

Jul 20, 2021 · Big Data

Design and Implementation of a Content Flow Control System for Xianyu Community

The Xianyu “Play” tab flow‑control system combines task‑specific and rule‑based strategies with a dynamic strategy‑, control‑, and distribution‑chain architecture that integrates real‑time data processing into the recommendation engine, delivering guaranteed exposure, boosting daily posts by 14.4 % and paving the way for multi‑objective, zero‑code control.

Big DataFlow ControlReal-time Streaming

0 likes · 6 min read

Design and Implementation of a Content Flow Control System for Xianyu Community

DataFunTalk

Oct 22, 2020 · Artificial Intelligence

Analyzing Video Excitement: Methods, Frameworks, and Applications

This article presents a comprehensive overview of video excitement analysis, covering quality, aesthetics, and narrative factors, describing a multimodal framework with supervised, weakly supervised, and multi‑task models, and illustrating practical applications such as preview generation, clipping, and automatic cover creation.

Weak Supervisioncontent recommendationexcitement detection

0 likes · 14 min read

Analyzing Video Excitement: Methods, Frameworks, and Applications

Meiyou UED

Jul 29, 2020 · Mobile Development

Designing an Effective Mobile Feed Flow: Principles, Market Insights & Usability

This article explores the concept and evolution of feed streams, analyzes the domestic market landscape across news and social apps, outlines usability design principles such as signal‑to‑noise ratio and Gestalt proximity, and proposes a redesign strategy to improve consistency, visual hierarchy, and user experience.

content recommendationfeed designmobile UI

0 likes · 16 min read

Designing an Effective Mobile Feed Flow: Principles, Market Insights & Usability

Ctrip Technology

Jan 16, 2020 · Artificial Intelligence

Ctrip's Marco Polo Platform: AI‑Driven Content Generation, Semantic Matching, and Productization

The article details Ctrip’s Marco Polo content platform, describing its data, algorithm, and functional layers, and explains how AI techniques such as NLP, semantic matching, named‑entity recognition, and image classification are applied to automate product‑centric content mining, article generation, quality rating, and first‑image selection.

AICtripNLP

0 likes · 16 min read

Ctrip's Marco Polo Platform: AI‑Driven Content Generation, Semantic Matching, and Productization

iQIYI Technical Product Team

Sep 12, 2019 · Artificial Intelligence

AI Technology Practice and Application in Entertainment

The iQiyi Technology Salon’s AI Technology Practice and Application series explains how AI reshapes entertainment by automating video and audio production, optimizing short‑video flows, enabling intelligent search, and leveraging big‑data analytics for behavior analysis, intent recognition, and personalized recommendations, supported by iQiyi’s robust AI platform.

AI PlatformAI technologyBig Data

0 likes · 7 min read

AI Technology Practice and Application in Entertainment

NetEase Media Technology Team

Jul 12, 2019 · Artificial Intelligence

Video Highlight Detection and GIF Cover Generation Using 3D Convolutional Scoring

The paper proposes a 3D‑CNN scoring system that ranks short, information‑dense video segments, selects the most exciting one, and converts it into a looping GIF cover, replacing static thumbnails; trained on large video‑GIF datasets with pairwise ranking loss, it improves click‑through rates while reducing bad‑case generation.

3D CNNGIF generationVideo Summarization

0 likes · 13 min read

Video Highlight Detection and GIF Cover Generation Using 3D Convolutional Scoring

Youku Technology

Apr 22, 2019 · Artificial Intelligence

Exploring the Construction of an Entertainment Brain: AI and Big Data Practices in the Fish Brain Platform

The talk introduces Alibaba’s Fish Brain platform, an AI‑powered decision‑support system for entertainment that combines a three‑layer data‑model, AI‑processed basic data, and application models, leveraging NLP, computer‑vision, custom embeddings, loss functions and predictive hybrid networks to analyze content, user behavior, and forecast performance.

AIBig DataNLP

0 likes · 12 min read

Exploring the Construction of an Entertainment Brain: AI and Big Data Practices in the Fish Brain Platform

iQIYI Technical Product Team

Aug 10, 2018 · Big Data

Data-Driven Entertainment: iQIYI’s Big Data Platform and AI Applications

iQIYI’s unified “Tongtian Tower” big‑data platform integrates analytics, AI and open APIs to turn viewer behavior and public sentiment into market insights, personalized recommendations, smart casting and churn‑prediction tools, embedding a data‑driven culture that fuels its rapid subscriber growth and revenue surge.

AIBig Datacontent recommendation

0 likes · 12 min read

Data-Driven Entertainment: iQIYI’s Big Data Platform and AI Applications