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Contents
§Terms and definitions1.GENERAL PROVISIONS2.WHAT IS PERSONALISED3.WHAT DATA IS USED4.WHAT DATA IS NOT USED5.HOW RECOMMENDATIONS ARE FORMED6.HOW TO TURN OFF OR INFLUENCE RECOMMENDATIONS7.CONTACTS AND COMPANY DETAILS
Edition of 15 June 2026This document may be updated · v1.0

Use of recommendation technologies

Operator
Booking System LLC
Registration
TIN 303205650
Address
66 Gagarin St., Tashkent
Email
info@hurma.uz

Terms and definitions

Recommendation technologies
Algorithms that suggest accommodation and offers based on the User’s actions and preferences.

1GENERAL PROVISIONS

1.1. This document describes the use of recommendation technologies on the hurma.uz service (hereinafter — the Service), operated by Booking System LLC (hereinafter — the Company).

1.2. The Service uses recommendation technologies to show more relevant accommodation options and search hints. Recommendations are for information purposes and do not restrict access to the full catalogue of the Service.

2WHAT IS PERSONALISED

2.1. Recommendation technologies are used to form:

selections of hotels and other accommodation;

the order in which options appear in search results;

recommendations of similar and popular options;

hints when entering a search query.

3WHAT DATA IS USED

3.1. Recommendations are formed using:

search and viewing history on the Service;

booking history;

the selected city (destination) and travel dates;

interface language and currency;

aggregated information about preferences (for example, price range and amenities).

4WHAT DATA IS NOT USED

4.1. Recommendations do not use special categories of personal data (health, political views, etc.), nor bank card details or other payment information.

5HOW RECOMMENDATIONS ARE FORMED

5.1. The algorithms match the User’s actions with popular and similar options, taking into account the city, dates, price range and amenities. Based on this, the Service forms an order of results and selections that are more likely to match the User’s request.

6HOW TO TURN OFF OR INFLUENCE RECOMMENDATIONS

6.1. The User can influence recommendations by resetting the applied filters, clearing the search history or changing the search parameters. Basic search works without recommendations.

6.2. To limit personalisation, or for any other questions about recommendation technologies, contact the support team: support@hurma.uz.

7CONTACTS AND COMPANY DETAILS

Booking System LLC

Address: 66 Gagarina Street, Tashkent, 100015, Republic of Uzbekistan

TIN: 303205650

Email: support@hurma.uz

Contacts

For questions about this document, contact us at info@hurma.uz.

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