Microsoft Technology Licensing, LLC

Linkedin Corporation

Lifeng Sang

Daniel ManHung Wong

Sahil Handa

Vlad Schlosberg

Pedro Oguri

Craig Martell

Theodore H Hwa

Mohammad Shafkat Amin

Yulia Astakhova

Siddharth Agarwal

Vicente Barbosa Da Silveira

Ganesan Venkatasubramanian

Maulin Patel

Shivakumar Edayathumangalam Raman

Computerized methods enable automatic monitoring of requests to an online service and apply access restrictions, as appropriate, to servicing of requests in real-time or near real-time. For each request received by the online service, a plurality of parameters associated with the request are identified, and counters corresponding to the particular values of the plurality of parameters associated with the request are incremented to track the number of times a parameter value appears or occurs in connection with requests to the online service. A first level check or analysis is performed to determine whether a second level check or analysis is required. The first level check or analysis comprises an initial screening that is not computationally intensive. The second level check or analysis is more resource-intensive and is triggered depending on the outcome of the first level check or analysis.

Analyzing requests to an online service

This disclosure relates to systems and methods that include receiving media content from a content submitter, classifying the media content by initiating one of synchronous classification and asynchronous classification based on a type of the media content, generating a media content certificate based on the media type, the certificate including results of the classification, storing the media content certificate with the media content, and filtering the media content based on at least one of an identity of the content submitter, the results of the classification, and the media content including malicious content.

Managing distribution of media content

A method and apparatus for selectively publishing user-provided content items to other users is provided. In some instances, the content items are excluded from being rendered to a user according to one or more blocks that block the user from viewing content items provided by certain members. Managing blocks and excluding content is more efficiently achieved through the implementation of a Bloom filter that contains the blocked pairs of users. The Bloom filter can, using few computing resources, be queried to determine if a block does not exist between two users. If the Bloom filter returns an indication that a block might exist, the apparatus determines if a block is stored in an LRU cache of recently retrieved blocks. If the LRU cache does not identify a block, then a call to retrieve one or more blocked pairs is made to a data storage.

Managing presentation of online content

To detect potentially malicious behavior or fraud, online environments maintain counts of a variety of data items received via a webpage or an application. A bucket scheme to track and retrieve these counts is described. The bucket system maintains a rolling count over a period of time. The bucket system comprises three different tiers, each containing buckets corresponding to different periods of time. When a new data item is received, one bucket in each tier is updated. The bucket is updated by generating a bucket address and initiating or incrementing a counter counting the number of times the data item was received. To retrieve the count over a specified period of time, the counters in a plurality of the buckets are read and aggregated.

Tracking data in an online environment

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Lifeng Sang