Data Privacy and Protection

The first step of smart recommendations involves data collection and analysis. The application can collect various user data, including but not limited to:

- Browsing history: Records of content users browse in the application, including adventure diaries, community shares, and map points.

- Preferences and interaction behaviors: Analysis of users' likes, comments, bookmarks, and other interactions to understand user preferences.

- Personal profile information: Including basic information like age, gender, location, and user-provided interests and hobbies.

Privacy Protection:

When implementing smart recommendations, the application should strictly comply with privacy protection regulations, ensuring user data security and privacy. Recommendation algorithms should follow data protection principles, anonymizing user data to prevent personal privacy information leakage. Please find our privacy policy and terms and conditions here.