context-aware | BestHub

Alimama Tech

Feb 1, 2023 · Artificial Intelligence

CapOnImage: Context-driven Dense Captioning on Images

The paper presents CapOnImage, a novel image‑on‑image captioning task that generates location‑specific decorative text for product images, introduces the 2.1‑million‑image CapOnImage2M dataset, and proposes a mixed‑modality transformer with position‑aware pre‑training and progressive training, achieving superior accuracy and diversity and already deployed in Alibaba’s advertising platforms for measurable business impact.

Multimodaladvertisingcontext-aware

0 likes · 9 min read

CapOnImage: Context-driven Dense Captioning on Images

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

DaTaobao Tech

Apr 19, 2022 · Artificial Intelligence

Generative Re‑ranking for Diverse and Context‑Aware Recommendation

The paper presents a generative re‑ranking framework for Taobao’s home‑decor channel that combines heuristic sequence generation methods (MMR, DPP, beam search) with a context‑aware encoder to produce diverse, relevance‑balanced recommendation lists, achieving notable gains in PV, IPV, CTR and click‑diversity over traditional point‑wise ranking.

Machine Learningcontext-awarediversity

0 likes · 19 min read

Generative Re‑ranking for Diverse and Context‑Aware Recommendation

DataFunTalk

Feb 24, 2022 · Artificial Intelligence

Sequence Optimization and Context-Aware CTR Re-Estimation for JD Advertising Ranking

The article presents JD's technical evolution for advertising ranking, covering recommendation ad sorting, context‑aware CTR re‑estimation, reinforcement‑learning‑based sequence optimization, and session‑level auction mechanisms, and includes a Q&A that highlights practical gains and implementation challenges.

CTR predictionadvertisingauction mechanism

0 likes · 14 min read

Sequence Optimization and Context-Aware CTR Re-Estimation for JD Advertising Ranking

DataFunTalk

Dec 17, 2020 · Artificial Intelligence

Context‑Aware Re‑ranking in Industrial Recommendation Systems: Design and Practice of a List Retrieval System

The article presents a comprehensive study of re‑ranking in large‑scale industrial recommendation pipelines, identifies four key challenges—context awareness, permutation specificity, computational complexity, and business constraints—and proposes a two‑stage List Retrieval System that combines fast sequence search and a generative re‑ranking network with a deep context‑wise model, achieving significant online gains across multiple Taobao feed scenarios.

Recommendation systemscontext-awaredeep learning

0 likes · 28 min read

Context‑Aware Re‑ranking in Industrial Recommendation Systems: Design and Practice of a List Retrieval System

DataFunTalk

Aug 12, 2020 · Artificial Intelligence

Content-Based and Context-Aware Music Recommendation Systems

This article reviews music recommendation techniques, focusing on content-based methods using metadata and audio features, and context-aware approaches that incorporate environmental and user-related factors, highlighting challenges, classification of metadata, acoustic descriptors, and integration strategies for personalized music services.

audio featurescontent-basedcontext-aware

0 likes · 21 min read

Content-Based and Context-Aware Music Recommendation Systems

DataFunTalk

Jun 21, 2020 · Artificial Intelligence

Comprehensive Guide to Recommendation Engine Types and Techniques

This article provides a detailed overview of various recommendation system types—including neighbor-based, personalized, content-based, contextual, hybrid, and model-based approaches—explaining their principles, advantages, disadvantages, and practical examples with formulas and visual illustrations for real-world applications.

Machine LearningRecommendation systemscollaborative filtering

0 likes · 28 min read

Comprehensive Guide to Recommendation Engine Types and Techniques

iQIYI Technical Product Team

Jan 17, 2020 · Artificial Intelligence

Voice and Language Technologies in Natural Interaction: iQIYI HomeAI Speech Interaction System

The talk introduced iQIYI’s HomeAI platform, which combines user profiling (including voiceprint and age detection) with automatic video semantic extraction to enable natural, multi‑turn voice‑based video search—addressing hot‑content updates, contextual awareness, device environments, and personalized recommendations for screen‑less or accessibility‑focused users.

AINatural Language ProcessingSpeech Recognition

0 likes · 19 min read

Voice and Language Technologies in Natural Interaction: iQIYI HomeAI Speech Interaction System