Abstract: A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

Abstract: A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

Abstract: Prominent display of a targeted game in search results from a search within an online gaming platform. In some implementations, a server receives a search query from a device. The search query is executed against a data store of available games to obtain search results indicating a set of games. Based on one or more characteristics of the set of games, it is determined whether the search query is directed to a narrow search for a particular game in the set of games. In response to determining such a narrow search, the particular game is designated with a highlight indication, and the search results and highlight indication are transmitted to the device, causing display of a user interface that includes at least a portion of the search results. The highlight indication causes the device to display an identifier of the particular game as highlighted relative to other search results.

Abstract: A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

Abstract: A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

Abstract: Prominent display of a targeted game in search results from a search within an online gaming platform. In some implementations, a server receives a search query from a device. The search query is executed against a data store of available games to obtain search results indicating a set of games. Based on one or more characteristics of the set of games, it is determined whether the search query is directed to a narrow search for a particular game in the set of games. In response to determining such a narrow search, the particular game is designated with a highlight indication, and the search results and highlight indication are transmitted to the device, causing display of a user interface that includes at least a portion of the search results. The highlight indication causes the device to display an identifier of the particular game as highlighted relative to other search results.

Abstract: Prominent display of a targeted game in search results from a search within an online gaming platform. In some implementations, a server receives a search query from a device. The search query is executed against a data store of available games to obtain search results indicating a set of games. Based on one or more characteristics of the set of games, it is determined whether the search query is directed to a narrow search for a particular game in the set of games. In response to determining such a narrow search, the particular game is designated with a highlight indication, and the search results and highlight indication are transmitted to the device, causing display of a user interface that includes at least a portion of the search results. The highlight indication causes the device to display an identifier of the particular game as highlighted relative to other search results.

Abstract: A user query, such as a user query processed by the online game system, is provided as input into a trained machine learning model. The machine learning model predicts candidate languages of the user query and outputs language confidence scores for the candidate languages. The user query is also matched with stored query data associated with game information in individual language databases for the respective candidate languages. A match scores may be determined based on a certainty of the respective response matches. The match scores and the language confidence scores may be weighted to determine a weighted score. The weighted scores of the response matches are applied to decide which game information retrieved from the identified database is used in forming a response of search results to the user.

Abstract: Prominent display of a targeted game in search results from a search within an online gaming platform. In some implementations, a server receives a search query from a device. The search query is executed against a data store of available games to obtain search results indicating a set of games. Based on one or more characteristics of the set of games, it is determined whether the search query is directed to a narrow search for a particular game in the set of games. In response to determining such a narrow search, the particular game is designated with a highlight indication, and the search results and highlight indication are transmitted to the device, causing display of a user interface that includes at least a portion of the search results. The highlight indication causes the device to display an identifier of the particular game as highlighted relative to other search results.