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Cookies and Recommendation Technologies

Effective date: 29.07.2026

This document describes the cookies and similar technologies used by Pir2Pir, and sets out the rules for applying recommendation technologies, published pursuant to Article 10.2-2 of Russian Federal Law No. 149-FZ of 27.07.2006 "On Information, Information Technologies and Information Protection".

Personal data processing is governed by the separate Consent and Privacy Policy.

Translation

The Russian version is the legally binding one. This translation is provided for convenience.

1. Operator

OperatorSole proprietor Aigiz Iskuzhin
INN024803896842
OGRNIP326028000044859
Roskomnadzor operator registerNo. 2-26-056967
Contactlegal@pir2pir.ru

This document covers https://pir2pir.ru, https://app.pir2pir.ru and https://docs.pir2pir.ru, as well as the Telegram bot @pir2pirbot.

Part I. Cookies and similar technologies

2. Strictly necessary and functional technologies

The interface relies on browser local storage (localStorage) — a technology similar in purpose to cookies, but one that is not sent to the server automatically:

ResourceEntryPurposeLifetime
pir2pir.rupir2pir.localethe chosen interface languageuntil site data is cleared
app.pir2pir.rusession token and timestampstaying signed in to the web appuntil sign-out or site data is cleared
docs.pir2pir.rutheme and language settingsdocumentation appearanceuntil site data is cleared

Without these entries the interface cannot remember a language or keep you signed in, so they are always applied and require no separate consent.

3. Analytics technologies

Yandex Metrica is used to measure traffic and interface quality. It sets its own cookies:

CookiePurposeLifetime
_ym_uidanonymised visitor identifier1 year
_ym_ddate of the first visit to the site1 year
_ym_isadwhether an ad blocker is present2 days
_ym_visorccurrent behaviour-recording session30 minutes

The data collected is anonymised: pages requested, referral source, device and browser type, and an approximate region derived from the IP address. It is used in aggregate and is not applied to make decisions about an individual visitor.

With respect to the data Metrica collects, the operator is YANDEX LLC under the Yandex Metrica Terms of Use.

4. How to opt out

Cookies and local storage are managed in the browser: site settings can block them, and stored data can be removed ("clear site data").

Yandex Metrica can be declined separately using Yandex's official opt-out.

Declining analytics does not restrict access to the service. Blocking the strictly necessary technologies in section 2 does not break https://pir2pir.ru, but it does make it impossible to keep a session in the web app — you would have to sign in again every time you open it.

5. Third-party technologies

The bot and the mini app run inside Telegram. Telegram is an independent operator with respect to the data it collects and applies its own privacy policy, which this document does not cover.

Part II. Rules for applying recommendation technologies

6. General

These Rules are published pursuant to Article 10.2-2(3) of 149-FZ and describe the processes and algorithms used to present information based on data about the service's participants.

Recommendation technologies are applied in exactly one function — matching participants for peer reviews of study projects. That purpose is stated in item 2 of section 4 of the Consent.

Searching for a participant by login is not a recommendation technology: it is a deterministic lookup by exact match and by login prefix, and its result does not depend on the preferences of the person searching. Searching by first or last name is not performed.

7. Data used for recommendations

Matching uses the data listed in section 3 of the Consent:

DataSource
Project list and project statusSchool 21 public API, participant profile sync
Campus and waveSchool 21 public API
Review points and feedback scoreSchool 21 public API
The project and campus stated in a review requestprovided by the participant
Notification settingsprovided by the participant

Data collected by the analytics technologies in section 3 plays no part in matching: recommendations are built only on study-profile data and on the request the participant made themselves. The contents of participants' conversations, special categories of personal data (Article 10 of 152-FZ) and biometric data (Article 11) are not used for recommendations.

8. How matching is formed

Candidates are selected and ordered by the following rules:

  1. Project — a hard filter on an exact project code match. Participants who cannot review that project are not included.
  2. Reciprocity — pairs where both participants are waiting for a review of the same project are preferred, because such a pair resolves the need of both.
  3. Campus — a soft preference for the same campus; cross-campus matching is allowed and is not restricted.
  4. All else being equal — review points and feedback score are taken into account as indicators of review experience.

The operator makes no decisions producing legal consequences for a participant on the basis of matching. A match is a recommendation: the participant may decline the proposed pair, and the review itself takes place on the School 21 platform, outside the operator's control.

9. Participant control

Matching is only possible after registration and giving Consent. A participant may at any time:

  • change or switch off notifications about review requests;
  • decline a proposed pair;
  • delete their account in the Telegram bot, which stops the application of recommendation technologies and withdraws the Consent.

There is no separate "recommendations off" switch: without matching the service does not perform its only function.

10. Complaints

Enquiries and complaints about the application of recommendation technologies go to legal@pir2pir.ru and are answered within 30 days of receipt.

11. Changes

The current version is published at https://docs.pir2pir.ru. Changes affecting the technologies applied or the data used are announced through the Telegram bot.