Microsoft Technology Licensing, LLC

Sachin Kakkar

Shashi Kumar

Bhavneet Singh Ahuja

Tejas Rajamohan

Shaik Zakir Hussain

Sandeep Prakash Joshi

Aman Gupta

Subhajit Datta

Debashish Ghosh

Arun Chauhan

Prithwish Mukherjee

Gaurav Vashist

Vineet Goyal

Neha Bassi

Technologies for assigning media moderation tasks are described. Embodiments include receiving media elements, determining a type of a received media element, and receiving active session indications from moderator devices that are connected to a media moderation application. Embodiments include generating a set of assignable moderators based on the active session indications from the moderator devices. Embodiments generate moderator-media assignments based on the active session indications and media types. Embodiments communicate assignment messages to the moderator devices.

Solver-based media assignment for content moderation

The disclosed embodiments provide a system for managing a counting use case. During operation, the system matches, to a first counting use case, a first parameter of a first unified request over an application programming interface (API) provided by a unified counting platform. Next, the system identifies, based on metadata for configuring the first counting use case in the unified counting platform, a first counting solution assigned to the first counting use case. The system then formats a first set of parameters in the first unified request into a first adapted request that is transmitted to the first counting solution. The system also formats a first response to the first adapted request from the first counting solution into a first unified response to the first unified request. Finally, the system transmits the first unified response to a first source of the first unified request.

Unified counting platform

The disclosed embodiments provide a system for processing data. During operation, the system identifies content shared within an online system and interactions between users of the online system and the content that match behavioral criteria and content-based criteria in a set of rules. Next, the system aggregates the content and the interactions into trends in the content and the interactions, predictions associated with the content and the interactions, and recommendations for moderating the content and the interactions. The system then outputs representations of the trends, the predictions, and the recommendations in a user interface. Finally, the system receives, via the user interface, an action to be performed on a subset of the content and updates sharing of the content within the online system based on the action.

Unified moderation and analysis of content

Techniques for implementing a self-serve content classification platform are provided. In one technique, through a user interface (UI) of the content classification platform, a user selects an option corresponding to a particular processor type. A processor configuration is also received through the same or different UI. Based on the user selection and the processor configuration, processor data that associates the particular processor type and the processor configuration is stored in association with a client context. A content classification request is received from a client associated with the client context. In response to receiving the content classification request, content that is referenced by the content classification request is identified, the processor data is accessed based on the content classification request, a processor that is defined based on the processor data is caused to be executed based on the content, and a result is generated based on output from the processor.

Self-serve content classification platform

Methods, systems, and computer programs are presented for reclassifying content in an online service. One method includes an operation for classifying a content item, to be presented on an online service, as low-quality or approved. The method further includes an operation for storing, in a content database of the online service, the content item with a content certification record (CCR). The CCR includes a result of the classifying of the content item, a content classification platform signature (CCPS), and a content signature. Further, the method includes operations for detecting a trigger for determining if the content item has to be reclassified, and for checking if the item needs to be reclassified. The checking includes comparing the CCPS in the CCR to a latest CCPS and comparing the content signature in the CCR to a current content signature of the content item. The content item is reclassified based on the checking.

Content classification tool with re-classification techniques

A machine may be configured to perform high confidence digital content treatment. For example, the machine accesses a message reported as objectionable by a member of a Social Networking Service (SNS). The machine identifies a digital content item included in the message reported as objectionable based on pre-processing the message. The machine determines one or more degrees of similarity between the digital content item and one or more other digital content items included in one or more other messages previously reported as objectionable by members of the SNS. The machine generates a final score value associated with the digital content item based on the one or more degrees of similarity values between the digital content item and one or more other digital content items. The machine executes a treatment for the message reported as objectionable based on the final score value associated with the content of the message.

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Karnataka, India

Sachin Kakkar