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Jan 28, 2026 · Artificial Intelligence

How We Built a High‑Performance AI Rental Advisor with One‑Model Tool‑Use and Reinforcement Learning

This article details the design, challenges, and performance gains of an AI‑driven rental recommendation system that replaces a multi‑agent architecture with a single LLM using dynamic tool‑use, introduces a two‑stage reinforcement‑learning pipeline, and achieves sub‑second latency and higher accuracy for complex rental scenarios.

AI recommendationReinforcement LearningSystem Architecture

0 likes · 19 min read

How We Built a High‑Performance AI Rental Advisor with One‑Model Tool‑Use and Reinforcement Learning

Amap Tech

Dec 29, 2025 · Artificial Intelligence

How G‑Plan Transforms Map Recommendations with AI Agents and Multi‑Demand Planning

This article details how Gaode's G‑Plan combines large‑model AI agents, generative ranking, and spatiotemporal counterfactual DPO to model and prioritize multiple user intents on the home page, presents the system architecture, experimental setup, online gains, and ablation results, and explains how it moves recommendation from passive to proactive planning.

AI recommendationintent planninglarge language model

0 likes · 21 min read

How G‑Plan Transforms Map Recommendations with AI Agents and Multi‑Demand Planning

Alibaba Cloud Developer

Dec 22, 2025 · Artificial Intelligence

Turning Real‑Time Hotspot Detection into AI‑Powered E‑Commerce Recommendations

Traditional recommendation systems lag behind fast‑moving external trends, missing the freshness and surprise users crave. This article details an end‑to‑end AI pipeline that perceives, understands, and reacts to hotspots within hours, automatically generating high‑quality product selections and continuously optimizing through feedback loops.

AI recommendationLLMMultimodal

0 likes · 25 min read

Turning Real‑Time Hotspot Detection into AI‑Powered E‑Commerce Recommendations

Amap Tech

Nov 19, 2025 · Artificial Intelligence

How Gaode’s Spacetime‑GR Model Boosts POI Recommendation with AI‑Powered SFT and DPO

Gaode transforms its map app into a dynamic, AI‑driven “living map” by fine‑tuning the large Spacetime‑GR model through embedding‑based and generative ranking SFT, DPO alignment, and multimodal augmentation, achieving significant offline CTR‑AUC improvements and online CTR gains in POI recommendation.

AI recommendationDPOMultimodal

0 likes · 12 min read

How Gaode’s Spacetime‑GR Model Boosts POI Recommendation with AI‑Powered SFT and DPO

Zhuanzhuan Tech

Aug 14, 2025 · Artificial Intelligence

How AI‑Powered VOC Recommendation Cut Customer Service Time by 38%

This article details how an AI-driven Voice of Customer (VOC) recommendation system was designed, trained, and deployed to automate tag selection and conversation summarization, resulting in a 37.9% reduction in selection time, a 428% boost in recommendation accuracy, and significant labor savings for customer service agents.

AI recommendationCustomer Service AutomationVOC

0 likes · 7 min read

How AI‑Powered VOC Recommendation Cut Customer Service Time by 38%

Tencent Technical Engineering

Aug 4, 2025 · Frontend Development

How to Build an AI-Powered Fragrance Recommendation Mini‑Program with Zero Coding

This article walks through the complete process of creating a WeChat mini‑program that uses large‑language‑model chat to recommend personalized fragrances, covering idea generation, tool selection, prompt design, AI‑assisted debugging, UI/UX refinement, mini‑store integration, and final publishing steps.

AI recommendationLow-Code DevelopmentWeChat Mini Program

0 likes · 26 min read

How to Build an AI-Powered Fragrance Recommendation Mini‑Program with Zero Coding

iQIYI Technical Product Team

Mar 1, 2024 · Artificial Intelligence

Advertising Data Characteristics and Sparse Large‑Model Practices at iQIYI

iQIYI’s ad ranking system replaces static, hash‑based embeddings with TFRA dynamic embeddings to efficiently handle massive sparse ID features, eliminates collisions and I/O bottlenecks, isolates memory during hot model swaps, enabling billion‑parameter models that boost revenue by 4.3 % while planning adaptive embedding sizes for future improvements.

AI recommendationAdvertisingSparse Embedding

0 likes · 10 min read

Advertising Data Characteristics and Sparse Large‑Model Practices at iQIYI

DataFunTalk

Oct 16, 2023 · Artificial Intelligence

Personalized Title Generation and Automatic Cover Image Synthesis for Information‑Flow Scenarios

This article presents technical approaches for generating personalized article titles and automatically synthesizing cover images, covering keyword‑based, click‑sequence‑based, and author‑style‑based title models, as well as image restoration, key‑information extraction, object detection, and layout generation techniques to improve user engagement in recommendation and search systems.

AI recommendationLSTMTransformer

0 likes · 11 min read

Personalized Title Generation and Automatic Cover Image Synthesis for Information‑Flow Scenarios