Instructions to the AMAP Algorithm Principles

 

To guarantee users’ right to be informed the basic principles, intended purposes, and main operating mechanisms of algorithmic recommendation services provided by AMAP, and to ensure users’ right to choose, we have formulated the Instructions to the AMAP Algorithm Principles. This document helps users fully understand how the AMAP Mobile App utilizes algorithmic technologies, such as Personalized Push Algorithm, Information Retrieval Algorithm, and Sorting and Ranking Algorithm, to display and provide information in the process of using our products and services, and would help you to make better appropriate choices.

 

1.

AMAP Personalized Push Algorithm

Algorithm Name	AMAP Personalized Push Algorithm
Filing No.	Cyberspace Algorithm Filing No.110114919700102220017
Basic Principle	Based on user-authorized information, including device information, log information, or other collected information generated during users’ interactions with AMAP Products and Services, we aggregate, analyze, or further process the information to infer group preference characteristics. Using these characteristics, we display or push content of potential interest or higher relevance to relevant user groups and rank the displayed content.
Operating Mechanism	We use inferred group preference characteristics from the model to match and rank content likely to interest or be more relevant to users. The model continuously updates in real-time based on user behaviors during their interactions with AMAP Products and Services, optimizing and refining the recommended results. To satisfy diverse user needs, we incorporate diversified recommendation techniques during the push process, expanding the range of recommended content and avoiding excessive concentration of similar content. If users are not interested in the recommended or displayed information, they can disable personalized recommendations via “My” > “Settings” > “About AMAP” > “Privacy Settings” in the AMAP Mobile App. If the close button is not visible, users can also contact Customer Service for assistance.
Application Scenario	Pages displaying points of interest (“POIs”), such as the “Nearby” section, Hotel Channel, and Food Channel in the AMAP Mobile App.
Intended Purpose	To display POIs on the map for users.

 

1.

AMAP Information Retrieval Algorithm

Algorithm Name	AMAP Information Retrieval Algorithm
Filing No.	Cyberspace Algorithm Filing No.110114919700104220019
Basic Principle	Based on users’ search inputs, location information, historical behaviors, and group preference characteristics, we rank search results to help users find the desired or most relevant POIs or related services.
Operating Mechanism	Using the user’s search input, location information, historical behaviors, group preference characteristics, and POI-related information, the AMAP Information Retrieval Algorithm recalls and matches relevant POIs or related services. It ranks search results according to their relevance or user interest. The model continuously updates in real-time based on user behaviors and optimization of POIs and service information during their interactions with AMAP Products and Services, optimizing and refining the recommended results. If users prefer search results not personalized to their characteristics, they can adjust the sorting preferences on the search results page by selecting “Recommended Sorting” and choosing “Distance First” or “Good Reviews First”.
Application Scenario	Retrieving POIs or related services in the AMAP Mobile App.
Intended Purpose	To help users locate desired POIs or services.

 

1.

AMAP Sorting and Ranking Algorithm

Algorithm Name	AMAP Sorting and Ranking Algorithm
Filing No.	Cyberspace Algorithm Filing No.110114919700103220013
Basic Principle	To display and recommend popular travel destinations to users in the AMAP Mobile App, we use the Sorting and Ranking Algorithm to rank and create lists of popular or curated POIs based on high user search or navigation frequency.
Operating Mechanism	Using POI category information, POI indices, search volume, navigation volume, and other statistical information, we generate category-specific POI rankings, known as AMAP Guides. These rankings help users discover interesting POIs. To satisfy diverse user needs, we incorporate a diversity mechanism during ranking, expanding the range of displayed content and avoiding excessive concentration of similar content.
Application Scenario	AMAP Guides within the AMAP Mobile App.
Intended Purpose	To help users discover popular POIs.