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amap_tech

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The content of technological innovation about Amap will be presented here.

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Exploration and Practice of Frontend Memory Optimization

This article explores the concept of frontend memory and discusses how developers can choose the best data storage method for each development scenario.

Exploration and Practice of Deep Learning Application in AMAP ETA

This article summarizes the exploration and practice of applying deep learning to predict estimated time of arrival (ETA) in AMAP.

Deep Learning: More Up-to-Date POI Data

This article examines the challenges related to the application of deep learning as an important tool in improving AMAP performance and discusses the feasibility of proposed solutions.

AMAP on the Go: Effective Ways to Respond to Customer Feedback

This article describes how AMAP uses machine learning to automate and improve the efficiency of processing large amounts of user intel.

Platform-based Evolution of AMAP Information Access

This article introduces some ideas and practices concerning in-depth POI information access in AMAP during the transition to a platform architecture.

AMAP Front-end Technology Development Over the Last Five Years

This article introduces how AMAP front-end technology developed with the rapid growth of the business and discusses the future development directions of the AMAP front-end.

Evolution of Text Recognition in AMAP Data Production

This article explores how image recognition technology is used in AMAP data production for more accurate character and text recognition.

AMAP's Transformation from Navigation Positioning to High-Precision Positioning

This article introduces the key technologies used in AMAP's navigation and positioning systems for mobile phones and vehicles, and discusses its evolution.

The Integration of AMAP Algorithm Engineering: Best Practices and Thoughts

This article explains the construction process of AMAP's integrated algorithm engineering to meet the iterative process of its business.

How AMAP's Improving Positioning Precision

Learn about the technologies that Alibaba's AMAP team, the mobile map and navigation hub of Alibaba, is using to improve positioning precision.

Ideas and Methods for System Refactoring

This articles looks at some of the misunderstandings and frequently overlooked aspects of refactoring, proposing some best practices.

Application of Machine Learning in Start-point Road Tracking of AMAP

This article outlines how to improve the accuracy of start-point road tracking of AMAP, and focuses on the exploration and practice of introducing machine learning algorithms.

Systematic Solution for Android Native Memory Leak

This article describes how AMAP's technical team has developed a unique solution to address memory leak challenges in order to ensure the quality of their android app.

Application of Machine Learning in Traffic Sign Detection and Fine-grained Classification

This article describes the application of machine learning in map data generation and traffic sign recognition for AMAP.

Model Optimization: Application of Machine Learning to AMAP's Suggestion Service

This article describes the specific application of machine learning for the AMAP suggestion service, particularly the attempts at model optimization.

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