Add organization

    Methodology of the "Where to Eat" ratings

    The “Where to Eat” category ranking is formed taking into account the specifics of the restaurant segment: high dynamics of reviews, seasonality, and differences between local and tourist audiences. The methodology is based on the general principles of the Madloba system, but adapted to the specifics of the gastronomic sector.

    Review dynamics
    The regularity of new ratings and the stability of the establishment’s reputation over time are taken into account.
    Public platforms
    Data from Google Maps, TripAdvisor, Restaurant Guru, and other open sources is analyzed.
    Audience interest
    Search queries, card views, and user engagement within the catalog are taken into account.
    Information relevance
    The accuracy of contacts, working hours, and the completeness of the provided data are checked.

    Which establishments are included in the “Where to Eat” category

    The category includes food service establishments presented in open sources and meeting the requirements for completeness and accuracy of information.

    Within the category, the following are taken into account:

    • restaurants of various formats (author’s cuisine, national cuisine, family restaurants, etc.);
    • cafés and coffee shops;
    • bars and gastro bars;
    • bakeries and pastry shops;
    • local gastro projects and concept venues.

    To participate in the rankings, the establishment listing must contain up-to-date contact details, working hours, and a description that allows the format of the venue to be correctly identified. The presence of photos and accurate information improves the quality of the venue’s presentation in the catalog.

    Temporary projects, pop-up formats, and establishments without confirmed public information may not be included in the ranking until consistent data becomes available.

    Which rankings are included in the category

    Separate rankings are formed by cities and venue formats. Each of them is built on the basis of the general methodology, taking into account the specifics of the segment.

    Below are the main ranking directions within the category.

    Main data sources

    Public sources and external signals

    Only open and publicly available data is used when forming rankings in the “Where to Eat” category. The primary source of reviews is Google Maps. Additionally, data from TripAdvisor, Restaurant Guru, and other specialized aggregators is analyzed.

    Reviews are taken into account in different languages (RU / EN / KA), which makes it possible to form a more complete and balanced picture of establishments’ ratings.

    Only public sources of information are used, with no access to closed or partner data.

    Key indicators for restaurants

    Which signals are taken into account in the restaurant category

    The restaurant category is characterized by high dynamics of user activity. Below are the key indicators that are considered when forming the rankings.

    Number and dynamics of reviews
    Not only the total volume of reviews is taken into account, but also the regularity of new ratings over time.
    Rating stability
    Stable indicators are considered differently than sharp and short-term fluctuations in ratings.
    Audience interest
    Search queries, venue listing views, and user engagement within the catalog are analyzed.
    Information relevance
    The accuracy of the menu, opening hours, contacts, and the completeness of the provided data are checked.
    This approach makes it possible to take into account both the venue’s current popularity and the stability of its reputation over time.

    Features of the gastronomic category

    Specifics of the restaurant segment

    The restaurant segment is characterized by high dynamics of user activity and sensitivity to external factors. When forming the rankings, the specifics of audience behavior and the characteristics of Georgia’s tourist cities are taken into account.

    High frequency of reviews
    In the restaurant sphere, reviews appear significantly more often than in other categories, which makes the segment more sensitive to changes.
    Seasonality
    In tourist cities, user activity can change significantly depending on the season.
    Audience differences
    Locals and tourists may rate the same venues differently, which is taken into account when analyzing data.
    Reputation over time
    Not only current popularity is taken into account, but also the stability of the venue’s reputation over a long period.
    This approach makes it possible to take into account both the current popularity of establishments and the long-term stability of their reputation in the gastronomic environment.

    Working with conflicting data

    How discrepancies in ratings are handled

    In the restaurant sphere, ratings across different platforms may differ. This is due to differences in audience, the format of reviews, and the period of user activity.

    When forming the rankings, not a single source is taken into account, but a combination of independent signals, which makes it possible to reduce the impact of isolated fluctuations.

    Aggregate sources
    When ratings differ across platforms, a combination of data is taken into account, not a single indicator.
    Exclusion of unstable signals
    Signals with pronounced contradictions or sharp deviations may be considered with additional verification.
    Data integrity principle
    Data created for the purpose of artificially influencing the final score is not taken into account within the system.
    This approach makes it possible to account for differences between platforms and maintain the stability of the ranking over time.

    New restaurants in the ranking

    How new venues are included

    The restaurant market is dynamic: new projects open regularly, and formats and concepts change. The ranking system takes this specificity into account and provides a transparent procedure for including new venues.

    Having reviews within the catalog is not the only condition for participating in the ranking.

    Public sources
    New restaurants may be included in the ranking based on open data presented on specialized platforms.
    Editorial review
    Before inclusion, the accuracy of information is checked: venue format, contacts, working hours.
    Position recalculation
    As reviews and user activity accumulate, the venue’s position may be revised within the overall evaluation system.
    This approach makes it possible to promptly reflect the emergence of new gastronomic projects while maintaining the stability and objectivity of the rankings.

    Updates to the “Where to Eat” ranking

    How often the restaurant ranking is updated

    The restaurant category is characterized by high dynamics of user activity. The update system takes this specificity into account and ensures regular verification of data relevance.

    Establishments’ positions may change as new reviews appear and user interest changes.

    Scheduled review
    A comprehensive data review is carried out at least once per quarter.
    Dynamic changes
    More frequent changes are possible due to an active influx of new reviews and user activity.
    Update date
    Each ranking page indicates the current date of the last recalculation.
    This update format makes it possible to promptly reflect changes in the gastronomic segment and maintain the transparency of the system for users and venue owners.

    The methodology of the “Where to Eat” category is part of Madloba’s overall rating formation system. You can return to the general principles or proceed to view the current rankings.

    Leave feedback
    Share your visit experience — it helps form a more accurate picture of the ranking.
    Leave a review / message
    Do you represent a restaurant or café?
    Let us know about changes in information: menu, opening hours, contacts, or venue description.
    Update details
    Madloba Info Support Team
    By:

    Madloba Info Support Team

    Post: Official support service for tourists and Madloba Info directory partners

    About the Madloba Info Support TeamThe Madloba Info Support Team is the official representative of the platform, providing assistance to tourists, entrepreneur…

    Visit author

    0 comments


    Log in to leave a comment