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 ranking content submissions and scheduling content submissions for additional voting in a distributed online community are disclosed. A statistical confidence interval is calculated for the approval ratio of each content submission based on one or more scaling formulae. A popularity ranking of the content submissions is generated based on the lower bounds of the confidence intervals calculated for the content submissions. Top-ranked content submissions in the popularity ranking are presented to users as the most popular content submissions. A voting priority ranking of the content submissions is generated based on the upper bounds of the confidence intervals calculated for the content submissions. Top-ranked content submissions in the voting priority ranking are selected as featured content submissions for additional voting. The selection of the top-ranked content submissions for additional voting is randomized based on a selected probability distribution.

Abstract: Method, computer-readable media, and systems for ranking content submissions and scheduling content submissions for additional voting in a distributed online community are disclosed. A statistical confidence interval is calculated for the approval ratio of each content submission based on one or more scaling formulae. A popularity ranking of the content submissions is generated based on the lower bounds of the confidence intervals calculated for the content submissions. Top-ranked content submissions in the popularity ranking are presented to users as the most popular content submissions. A voting priority ranking of the content submissions is generated based on the upper bounds of the confidence intervals calculated for the content submissions. Top-ranked content submissions in the voting priority ranking are selected as featured content submissions for additional voting. The selection of the top-ranked content submissions for additional voting is randomized based on a selected probability distribution.

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.

Abstract: The present invention provides an integrated data system for processing deposition and annotation of data such as three dimensional macromolecular structure data. The system is based on a new community data standard referred to as meta data. The meta data structure provides data or information about other data. Unlike the previous PDB data format, in the present invention PDB both the syntax and semantics of the PDB data standard are rigorously defined and encoded in meta data dictionaries which are fully software accessible. The data processing system of the present invention uses meta data at every functional step beginning with data collection.