Abstract: In general, the subject matter described in this specification can be embodied in methods, systems, and program products. A computing system receives text that represents content input by a user. A computing system determines a randomness level for a portion of the text. A computing system determines whether the randomness level for the portion of text exceeds a threshold level. A computing system, responsive to determining that the randomness level does not exceed the threshold level, provides the portion of text for processing by a text processing system.

Abstract: A computer-implemented method includes receiving (i) a request for ratable content, and (ii) information specifying a geographic location of a computing device; accessing a data repository configured to store items of ratable content, with an item of ratable content associated with a geographic location; obtaining a plurality of items of ratable content related to the geographic location of the computing device; sending, from the obtained items of ratable content, an item of ratable content to the computing device; receiving a request for ratable content associated with a level of granularity relative that is higher than the level of granularity of the sent item of ratable content; sending, to the computing device, another item of ratable content, from the obtained items of ratable content, that is associated with a level of granularity that is higher than the level of granularity of the previously sent item of ratable content.

Abstract: Methods for automatically detecting an anomaly in an application programming interface (API) having a plurality of invariants is provided. Such an API may conform to a Representational State Transfer (REST) model or style of software architecture. Such methods enable users to build simple test scripts that can be fed into specialized software applications configured to automatically exercise and test the API using the test scripts. Further, such methods allow automatic testing of API functionality regardless of whether or not the expected output value(s) for a given input are specified.

Abstract: In general, the subject matter described in this specification can be embodied in methods, systems, and program products. A computing system receives text that represents content input by a user. A computing system determines a randomness level for a portion of the text. A computing system determines whether the randomness level for the portion of text exceeds a threshold level. A computing system, responsive to determining that the randomness level does not exceed the threshold level, provides the portion of text for processing by a text processing system.

Abstract: A computer-implemented method includes receiving (i) a request for ratable content, and (ii) information specifying a geographic location of a computing device; accessing a data repository configured to store items of ratable content, with an item of ratable content associated with a geographic location; obtaining a plurality of items of ratable content related to the geographic location of the computing device; sending, from the obtained items of ratable content, an item of ratable content to the computing device; receiving a request for ratable content associated with a level of granularity relative that is higher than the level of granularity of the sent item of ratable content; sending, to the computing device, another item of ratable content, from the obtained items of ratable content, that is associated with a level of granularity that is higher than the level of granularity of the previously sent item of ratable content.

Abstract: Method, computer-readable media, and systems for centralizing votes submitted for content items hosted on multiple distinct and uncoordinated content sources, and ranking the content items against one another across the multiple distinct and uncoordinated content sources based on the centralized votes are disclosed. Recommendations of content items hosted by an original content source can be provided to users on the content interfaces of other content sources and additional votes for the recommended content items can be collected through the voting controls accompanying the recommend content items on the content interfaces of these other content sources.