Tagged articles

multimodal AI

409 articles · Page 5 of 5

Jul 31, 2020 · Artificial Intelligence

WeChat 'Kan Kan' Content Understanding: Architecture and Techniques for Recommendation

This article details the technical architecture behind WeChat's 'Kan Kan' content understanding platform, covering text and multimedia analysis, tag extraction, entity recognition, knowledge graph construction, and how these components enhance recommendation recall, ranking, and user engagement across the ecosystem.

content understandingknowledge graphmachine learning

0 likes · 46 min read

WeChat 'Kan Kan' Content Understanding: Architecture and Techniques for Recommendation

Xianyu Technology

Jul 9, 2020 · Product Management

Xianyu Product Structuring: Evolution, Current Strategies, and Future Directions

Xianyu’s product‑information structuring has progressed from simple text mining to multimodal AI pipelines that now boost coverage by nearly 50 %, while facing precision and engineering hurdles, and it plans to adopt a standardized VID attribute system, plug‑in multimodal models, and rule‑based input assistance to enable seamless, photo‑driven publishing.

Rule Enginedata engineeringe-commerce

0 likes · 10 min read

Xianyu Product Structuring: Evolution, Current Strategies, and Future Directions

Suning Technology

Apr 9, 2020 · Artificial Intelligence

Affective Computing in Retail: Boosting Customer Experience with Emotion AI

This article explores the development and application of affective computing in the retail sector, covering its psychological foundations, emotion recognition algorithms for facial expressions, speech, and text, multimodal fusion techniques, market players, and future prospects for enhancing shopper experiences, staff service quality, and sales performance.

Affective ComputingEmotion Recognitioncustomer experience

0 likes · 20 min read

Affective Computing in Retail: Boosting Customer Experience with Emotion AI

JD Tech Talk

Mar 9, 2020 · Artificial Intelligence

Advances in Deep Learning for Content Recommendation and User Behavior Modeling by JD Digits

The article reviews recent deep‑learning breakthroughs in personalized content recommendation, covering news and e‑commerce systems, JD Digits' multi‑dimensional user behavior prediction models, knowledge‑graph meta‑learning, and the impact of multimodal AI on future recommendation technologies.

deep learningknowledge graphmultimodal AI

0 likes · 6 min read

Advances in Deep Learning for Content Recommendation and User Behavior Modeling by JD Digits

Amap Tech

Dec 6, 2019 · Artificial Intelligence

Semantic Understanding of Merchant Signboards for Automatic POI Name Generation at Amap

Amap's POI naming automation uses a two-stage cascade model: Stage 1 extracts token and sentence features with POS tags and domain-adapted BERT‑POI; Stage 2 employs a Bi‑LSTM to model line relationships, achieving over 95% semantic accuracy and 3‑6% recall improvements, thereby enhancing automatic signboard‑based POI name generation.

BERTLSTMName Generation

0 likes · 7 min read

Semantic Understanding of Merchant Signboards for Automatic POI Name Generation at Amap

iQIYI Technical Product Team

Apr 12, 2019 · Artificial Intelligence

iQIYI Multimodal Technology: Datasets, Applications, and Future Directions

iQIYI leverages multimodal AI—combining audio, visual, and textual cues—to advance video understanding, releasing the world’s largest celebrity dataset (iQIYI‑VID), powering applications such as actor‑focused playback, AI Radar, emoji generation, and rapid automated editing, while pursuing future research in emoji captioning, cross‑modal retrieval, visual question answering, and broader health‑care and education uses.

datasetsiQIYImultimodal AI

0 likes · 13 min read

iQIYI Multimodal Technology: Datasets, Applications, and Future Directions

Youku Technology

Apr 2, 2019 · Artificial Intelligence

How Youku Uses Multimodal AI for Video Understanding, Search, and Recommendation

Youku’s Algorithm Center has built a multimodal AI pipeline that jointly processes visual, audio, and textual signals to enhance video search, recommendation, and digital asset management, overcoming traditional keyword limits, improving relevance and cold‑start issues, while tackling fusion, cost, and interpretability challenges.

content understandingmedia analyticsmultimodal AI

0 likes · 15 min read

How Youku Uses Multimodal AI for Video Understanding, Search, and Recommendation

JD Tech

Aug 14, 2018 · Artificial Intelligence

GCN‑LSTM Image Captioning Model by JD AI Research Institute

JD AI Research Institute presented a GCN‑LSTM encoder‑decoder system that integrates object semantic and spatial relationships via graph convolutional networks to significantly improve image captioning performance on the COCO benchmark, achieving state‑of‑the‑art results.

COCO datasetImage CaptioningLSTM

0 likes · 7 min read

GCN‑LSTM Image Captioning Model by JD AI Research Institute

Alibaba Cloud Developer

Dec 7, 2017 · Artificial Intelligence

How Alibaba’s AI Powers Voice Ticketing and Facial Recognition in Shanghai Metro

Alibaba’s AI-driven solutions enable Shanghai Metro passengers to buy tickets by simply speaking, recognize faces at turnstiles, and analyze crowd flow in real time, showcasing multimodal voice‑vision interaction, far‑field speech recognition in noisy stations, and advanced computer‑vision techniques.

Smart Transitfacial recognitionmultimodal AI

0 likes · 10 min read

How Alibaba’s AI Powers Voice Ticketing and Facial Recognition in Shanghai Metro