Data Sources

Last Updated: October 7, 2025

Transparency and attribution for all data sources powering LU's AI travel recommendations. We believe in open and responsible data usage.

1. Data Transparency Commitment

LU is committed to transparency about the data sources that power our AI-driven travel recommendations. We respect intellectual property rights and provide proper attribution to all data providers whose information contributes to our platform.

📊 Our Data Philosophy

We believe in responsible data usage - respecting source attribution, maintaining data quality standards, and ensuring user transparency about the information behind our recommendations.

2. Primary Data Sources

🎿 skiresort.info High Quality

Primary Source: Comprehensive ski resort database

📈 Data Coverage

  • 5,450+ ski resorts worldwide
  • Detailed resort profiles including lift systems, slopes, facilities
  • Geographic coverage: Europe, North America, Asia, Oceania
  • Technical specifications: Elevation data, snow conditions, season information

Usage: Powers our RAG (Retrieval-Augmented Generation) system for ski destination recommendations

Attribution: Data sourced from skiresort.info

License: Used under fair use for informational recommendations with proper attribution

🏝️ BeachSearcher High Quality

Primary Source: Beach search and directory

📈 Data Coverage

  • Global beach listings with descriptive profiles
  • Beach attributes: sand type, amenities, accessibility
  • Geographic coverage: Europe, Africa, Asia, Americas, Oceania
  • Photos & user reviews: Integrated imagery and basic ratings

Usage: Powers our Beach RAG system and candidate sampling for beach recommendations

Attribution: Data sourced from BeachSearcher

License: Used for informational recommendations with proper attribution

🤖 OpenAI GPT High Quality

AI Processing Engine: Natural language processing and recommendation generation

🧠 AI Capabilities

  • Natural Language Understanding: User preference interpretation
  • Contextual Recommendations: Personalized travel suggestions
  • Multi-modal Processing: Text, location, and preference analysis
  • Real-time Generation: Dynamic recommendation creation

Usage: Processes user preferences and generates personalized travel recommendations

Provider: OpenAI

Privacy: User data processed according to OpenAI's privacy policies

🗺️ OpenStreetMap High Quality

Geographic Services: Location data, mapping, and place information

📍 Geographic Coverage

  • Interactive Maps: Visual destination display
  • Open Data: Community-driven, regularly updated
  • Geocoding: Address and coordinate conversion
  • Photo Integration: Destination imagery (where available)

Usage: Provides mapping services and location-based information for recommended destinations

Attribution: © OpenStreetMap contributors

License: Open Database License (ODbL)

🏨 Booking.com Integration High Quality

Accommodation Booking: Hotel and accommodation search integration

🏠 Booking Services

  • Accommodation Search: Hotel and lodging options
  • Real-time Availability: Current booking status
  • Price Comparison: Rate information
  • Booking Facilitation: Direct reservation links

Usage: Enables users to book accommodations at recommended destinations

Provider: Booking.com

Relationship: Affiliate partnership - we may earn commissions from bookings

3. Additional Data Sources

🌐 Public Travel Databases Medium Quality

Supplementary Information: Additional travel and tourism data

  • Tourism Boards: Official destination information from national and regional tourism authorities
  • Weather Services: Climate and seasonal information for travel planning
  • Transportation Data: Public transport and accessibility information
  • Cultural Information: Local customs, events, and attraction data

Usage: Supplements primary sources with additional context and travel information

Quality: Varies by source; used for general information and context

📊 LU Proprietary Data High Quality

Platform Analytics: User interaction and preference data

🔍 Internal Data

  • User Preferences: Aggregated preference patterns (anonymized)
  • Recommendation Performance: Success rates and user satisfaction
  • Search Patterns: Popular destinations and seasonal trends
  • Platform Optimization: User experience and interface improvements

Usage: Improves recommendation accuracy and platform performance

Privacy: All data anonymized and aggregated; no personal information stored

4. Data Processing and Quality

4.1 RAG Technology Implementation

⚡ Retrieval-Augmented Generation (RAG)

Advanced AI Processing: Combines database retrieval with AI generation

🔧 RAG Process

  1. Data Retrieval: Searches ski resort database and beaches database based on user preferences
  2. Context Filtering: Selects relevant resort and beach information and characteristics
  3. AI Processing: Feeds contextual data to OpenAI for personalized recommendations
  4. Response Generation: Creates tailored suggestions with specific resort and beach matches

Advantage: Provides fact-based recommendations grounded in real data rather than generic AI responses

4.2 Data Quality Standards

  • Accuracy Verification: Regular cross-referencing of data sources
  • Freshness Monitoring: Tracking data age and update frequencies
  • Completeness Checking: Ensuring comprehensive coverage for key destinations
  • Consistency Validation: Maintaining uniform data formats and standards

4.3 Data Limitations

⚠️ Important Limitations

  • Update Delays: Third-party data may not reflect real-time changes
  • Coverage Gaps: Some destinations may have limited or outdated information
  • Seasonal Variations: Conditions change more frequently than data updates
  • Local Knowledge: AI cannot replace local expertise and current conditions

5. Data Update Schedule

🔄 Update Frequency

  • Ski Resort and Beach databases: Yearly updates
  • AI Model: Continuous learning from OpenAI API updates
  • Maps & Photos: Real-time access via Google Maps API
  • Booking Data: Live integration with Booking.com availability
  • Platform Analytics: Daily aggregation of user interaction data

Quality Assurance: We perform monthly data quality reviews to identify and address any inconsistencies or outdated information.

6. Attribution and Licensing

6.1 Third-Party Attribution

We provide proper attribution to all data sources:

  • skiresort.info: Credited as primary ski resort data source with direct links where appropriate
  • OpenAI: Acknowledged as AI processing provider in technical documentation
  • Google Maps: Google branding displayed on all map integrations per Terms of Service
  • Booking.com: Partner acknowledgment and affiliate relationship disclosure

6.2 Fair Use and Licensing

Our data usage complies with fair use principles and licensing agreements:

  • Informational Purpose: Data used for travel recommendations and planning assistance
  • Non-Commercial Core Use: Primary function is user service, not data resale
  • Proper Attribution: All sources credited with appropriate links and acknowledgments
  • API Compliance: All API usage within terms and rate limits

7. Data Privacy and Security

7.1 User Data Protection

🔒 Privacy Safeguards

  • No Personal Storage: User preferences processed in real-time, not permanently stored
  • Anonymized Analytics: Usage patterns tracked without personal identification
  • Secure Processing: All data transmission encrypted and secure
  • Third-Party Compliance: All partners meet privacy and security standards

7.2 Data Sharing Policies

We do not sell or share user data with third parties except:

  • Service Provision: Minimal data shared with AI and mapping services for functionality
  • Booking Integration: Anonymous preference data passed to booking platforms
  • Legal Requirements: Data shared only when legally required

8. Intellectual Property Rights

8.1 Respecting Source Rights

We respect the intellectual property of all data providers:

  • Copyright Compliance: Using data within fair use and licensing terms
  • Trademark Respect: Proper use of partner trademarks and branding
  • Attribution Requirements: Following all source attribution requirements
  • Usage Limitations: Staying within permitted use cases and restrictions

8.2 LU Original Content

LU owns the rights to:

  • AI Processing Algorithms: Our proprietary RAG implementation and recommendation logic
  • User Interface Design: Platform design, user experience, and interface elements
  • Aggregated Insights: Analysis and patterns derived from multiple data sources
  • Brand Elements: LU trademark, logo, and marketing materials

9. Data Accuracy Disclaimer

⚠️ Accuracy Limitations

While we strive for accuracy, we cannot guarantee that all information is current, complete, or error-free. Travel conditions, prices, and availability change frequently and may not be reflected in our data sources.

Users should always verify:

  • Current conditions and operational status
  • Prices, availability, and booking terms
  • Safety conditions and requirements
  • Local regulations and restrictions

10. Data Source Inquiries

For questions about our data sources:

LU Data Team:
Email: data@yoursite.com
Subject: Data Source Inquiry

Reporting Data Issues:
If you notice inaccurate or outdated information, please contact us with specific details so we can investigate and improve our data quality.

Attribution Requests:
For questions about proper attribution or licensing, contact our legal team at legal@yoursite.com

11. Commitment to Transparency

LU is committed to maintaining the highest standards of data transparency and ethical usage. We believe travelers deserve to know the sources behind our recommendations and the limitations of the information we provide.

This data sources page will be updated whenever:

  • New data sources are added to our platform
  • Existing partnerships or integrations change
  • Data processing methods are significantly modified
  • Legal or licensing terms are updated

Google Maps & Google Photos Links

Links to Google Maps and Google Photos are provided for user reference and convenience. All content and imagery on those platforms are © Google and subject to their respective terms.

Loader Animation Attribution

Loader Animation (Uiverse.io by SchawnnahJ)

Loader animation CSS used in this application is sourced from Uiverse.io by SchawnnahJ.
Copyright © 2025 SchawnnahJ
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

Clip Card Attribution

Clip Card CSS (joe-watson-sbf / Joseph Watzson)

Clip card CSS used in this application is sourced from joe-watson-sbf (Joseph Watzson).
Copyright © 2025 joe-watson-sbf (Joseph Watzson)
License terms are identical to those listed in the Loader Animation Attribution section above.
See Loader Animation Attribution for full license text.

Icon Attribution

Flaticon Icon Credits

The following icons used in this application are sourced from Flaticon and are credited to their respective creators: