Abstract: A method includes providing, to a first client device, a presentation of a first instance of source code. The method further includes receiving, by a server device from the first client device, a selection of a first presentation type from a plurality of presentation types comprising the first presentation type and a second presentation type. The first presentation type specifies first access privileges to first source code changes made by a first user associated with the first client device to the first instance of the source code. The second presentation type specifies second access privileges that are different from the first access privileges of the first presentation type. The method further includes providing, to a second client device, a presentation of a second instance of the source code with the first source code changes in accordance with the first presentation type.

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: Implementations described herein relate to methods, systems, and computer-readable media to provide spatialized audio in virtual experiences. The spatialized audio may be used in voice communications such as, for example, voice and/or video chats. The chats may include spatialized audio that is combined at a client device, or at an online experience platform, and is targeted to a particular user. Individual audio streams may be collected from a plurality of avatars and other objects, and combined based on the target user. The audio may also include background and/or ambient sounds to provide a rich, immersive audio stream in virtual experiences.

Abstract: A method and system is disclosed for training a machine learning model by generating first training input that includes a first number of reports at a first point in time. The reports are submitted by the users of the gaming platform and identify incidents where content of the gaming platform violates a policy of use associated with the gaming platform. The method and system generates second training input including a number of resources active at the first point in time. The method and system generates first target output identifies a number of resources sufficient to evaluate the target percentage of the first number of reports. The method and system provide the training data to train the machine learning model on (i) a set of training inputs comprising the first training input and the second training input, and (ii) a set of target outputs comprising the first target output.

Abstract: A system and method includes using a queue with reduce operations. A method can include, responsive to generation of one or more markers by a first node or a second node, causing a submission of one or more markers to a queue associated with a computing cluster. Additionally, responsive to a determination that the first node has completed a first reduce operation, directing the first node to perform a first copy operation to copy first data identified by a first marker of the one or more markers in the queue, where the first copy operation is performed concurrently with the second reduce operation.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media for computer-assisted graphical development. In some implementations, a computer-implemented method includes providing a GUI that includes at least one manipulable graphical object having one or more edges or vertices and a virtual pivot point, providing a dragger handle at a first position in the GUI, the dragger handle operable via user input to alter one or more of: a size, location, scale, or characteristic of the at least one manipulable graphical object based on the virtual pivot point, wherein the dragger handle is at least initially displayed on at least one of the one or more edges or vertices, receiving a request to summon the dragger handle, and, in response to the request, moving positioning the dragger handle to a different position in the GUI separate from the at least one manipulable graphical object.

Abstract: Methods, systems, and computer readable media for predictive preloading of game data are described. In some implementations, a method can include using a machine learning model of player data to predict which games (or game-related data assets) to begin preloading prior to a user making a game selection. Once the user makes a selection, any preloading not related to the selection can be terminated. Thus, during the time period when the user is viewing available game selections, a given number of selections can begin to be preloaded based on predictions from the machine learning model. The preloading can help reduce latency from game selection by the user to game start time.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to automatically present suitable content for a particular audience. In some implementations, a computer-implemented method receiving virtual experience content associated with a first virtual experience associated with a first target audience and including content that is restricted as not viewable by a second target audience, receiving at least one content alternative, generating a first rating for the received virtual experience content and a second rating for the at least one content alternative, and automatically providing only one of the received virtual experience content or the at least one content alternative to user devices based on the first rating and the second rating.

Abstract: A method and system is disclosed that generates a dictionary of terms comprising terms associated with games of a collaboration platform. The method further identifies search terms associated with previous search queries. The method compares the search terms with the terms of the dictionary to determine whether the search terms associated with the previous search queries are in the dictionary of terms. The method identifies a first set of the search terms that are candidates to receive search suggestions and a second set of the search terms that are to be the search suggestions based on the comparison. The method also generates a record that associates candidate search terms of the first set of the search terms with respective search suggestions of the second set of the search terms. The record is used to provide a search suggestion for a search term of a new search query.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to automatically present suitable content for a particular locale. In some implementations, a computer-implemented method includes receiving gaming content associated with a game associated with a first client locale, the received gaming content including content that is restricted at a second client locale, receiving at least one content alternative, the at least one content alternative being an alternative to replace the received gaming content, generating a first localized rating for the received gaming content and a second localized rating for the at least one content alternative, and automatically providing the received gaming content or the at least one content alternative to a user device associated with the second client locale based on the first localized rating and the second localized rating.

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: Some implementations relate to methods and computer-readable media to automatically generate search suggestions. In some implementations, a method includes receiving search session data for a plurality of search sessions, each search session comprising a plurality of search terms input by a respective user. The method further includes, for each search session, identifying that a particular search term of the plurality of search terms is followed by a gameplay session of a particular game of a plurality of games of an online gaming platform, determining that the particular search term is a successful term when the particular search term is a last search term in the sequence, and in response to the determining, adding the search session data to a training corpus. The method further includes applying a machine learning algorithm to the training corpus to generate a plurality of embeddings of search terms.

Abstract: A gaming system runs on a server executing software, and provides a first interactive interface to a first player, enabling the first player to establish a chat session as a chat leader, to invite a plurality of other players to the chat session, to select a game provided by the system from the at least one game server, and to launch the game with the chat leader and the other players in the chat session as players in the game, and provides a second interactive interface to players in the chat session as a result of invitation, the second interactive interface enabling the players in the chat session other than the leader to participate in the chat session, and to play the game selected and launched by the chat leader, who becomes a lead player in the game.

Abstract: An automated cage-to-cage fitting technique is used to fit arbitrary three-dimensional (3D) geometry to arbitrary target 3D geometry for 3D avatars in a 3D environment, such as an online game. Each graphical representation of items of clothing is provided with an inner cage and with an outer cage. The inner cage of a clothing item (a current layer) is mapped to the outer cage of another clothing item (a previous/underlying layer) that has already been fitted on the 3D avatar. This mapping enables the current layer to conform to the shape of the previous layer. The technique allows any body geometry to be fitted with any clothing geometry, including enabling layers of clothing to be fitted over underlying layer(s) of clothing, thereby providing customization.

Abstract: Various input modes and output modes may be used for a three-dimensional (3D) environment. A user may use a particular input mode (e.g., text, audio, video, etc.) for animating a 3D avatar of the user in the 3D environment. The user may use a particular output mode (e.g., text, audio, 3D animation, etc.) in the presentation of the 3D environment. The input/output modes may change based on conditions such as a location of the user.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a higher level-of-detail may be intelligently selected based upon user preferences and/or computing conditions at the client device.

Abstract: Some implementations relate to methods and computer-readable media to detect inauthentic textures in a virtual environment. In some implementations, a method includes receiving a plurality of two-dimensional (2D) polygons associated with a texture for a three-dimensional (3D) virtual object. The method further includes combining portions of two or more 2D polygons from the plurality of 2D polygons based on a pose or shape of the 3D virtual object to obtain one or more combined 2D polygons, calculating a respective hash value for each of the combined 2D polygons, determining whether there is a match between at least one hash value of the respective hash values and a hash value of at least one reference 2D polygon associated with an authentic object, classifying the texture as an inauthentic texture if it is determined that there is the match, else classifying the texture as an authentic texture.

Abstract: Implementations described herein relate to methods, systems, and computer-readable media to automatically detect prohibited content. For example, a method can include receiving data associated with a game hosted on a gaming platform, the data indicative of at least one developer, at least one user, and game content, automatically assigning a classification to the game with a machine learning model, the classification based on the data indicative of the at least one developer, at least one user, and game content, determining whether the classification of the game meets a safety threshold, and based on determining that the classification of the game does not meet the safety threshold, identifying the game as having prohibited content.

Abstract: A method and system is provided to create animated faces using texture manipulation. A face template is provided to enable a user to define features of the face. A composite face is created from multiple layers that include a bottom layer, an animation layer, and a static layer. The composite face is animated by selectively animating one or more of the layers.

Abstract: A method and system is disclosed that generates a dictionary of terms comprising terms associated with games of a collaboration platform. The method further identifies search terms associated with previous search queries. The method compares the search terms with the terms of the dictionary to determine whether the search terms associated with the previous search queries are in the dictionary of terms. The method identifies a first set of the search terms that are candidates to receive search suggestions and a second set of the search terms that are to be the search suggestions based on the comparison. The method also generates a record that associates candidate search terms of the first set of the search terms with respective search suggestions of the second set of the search terms. The record is used to provide a search suggestion for a search term of a new search query.