Recommendation Technologies Notice

This notice is prepared in accordance with Georgian law and constitutes a voluntary disclosure of how recommendation technologies are used in the «Expat Market» service, provided in the interest of transparency for all users. The notice also takes into account the requirements of Russian Federal Law No. 149-FZ of 27 July 2006 "On Information, Information Technologies and Information Protection" (as amended by Federal Law No. 323-FZ of 21 July 2022) as applicable to users from the Russian Federation.

1. What recommendation technologies are used in the service

A recommendation technology is an information technology that determines the order in which information is presented to a user based on data analysis. In the «Expat Market» service, recommendation technologies are applied when forming the order in which listings are displayed in the catalogue.

2. Technologies in use

Listing ranking in the catalogue. The primary display order of listings in the feed is determined by a single time-based rank: the more recently a listing was published or promoted, the higher its position; over time, the position decreases along a time-decay curve that is the same for all listings.

• paid promotion refreshes a listing's position in the same way as a new publication; there is no permanent priority tier for promoted listings in the feed — over time, a promoted listing sinks again along the common curve, and a more recent listing without promotion may be displayed above a previously promoted one;
• pinned listings are displayed in a separate block at the top of the catalogue for the paid period; the order of listings within that block is rotated randomly on each refresh of the results;
• results are formed within the city and the category or subcategory selected by the user;
• in text search results, the order is determined primarily by relevance to the query; promotion status is taken into account as an additional factor, and listings aggregated from public Telegram channels are displayed after users' listings.

The service does not apply personalised ranking based on an individual user's browsing history: under the same filter parameters, the display order is the same for all users (except for the random rotation within the pinned-listings block).

3. Data used for ranking

The following data is used to determine the display order of listings:

• the date and time of the listing's publication or last paid promotion;
• listing status (presence of paid promotion or pinning; listing source — user-posted or aggregated from a public channel);
• listing category and the city selected by the user;
• filters selected by the user and the text of the search query.

Users' personal data — browsing history, demographic characteristics, preferences — is not used for individual ranking.

4. User controls

Users may influence the composition and display order of listings in the following ways:

• selecting a city — determines the geography of the results;
• selecting a category or subcategory — limits results to the relevant area;
• using keyword search — orders listings by relevance to the query;
• applying filters — allows refinement of search parameters.

Complete disabling of algorithmic ranking is not available, as the parameters used (promotion status, publication date, query relevance) are technical rather than personal.

5. Contact

For questions about the use of recommendation technologies, contact: expat.apps@gmail.com.

This notice is drawn up in Russian and English. In the event of any discrepancy, the Russian version shall prevail.

Effective date: 16 July 2026.

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