Systems and methods enabling search of a repository for the location of data that is similar to input data, using a defined measure of similarity, in a time that is independent of the size of the repository and linear in a size of the input data, and a space that is proportional to a small fraction of the size of the repository. The similar data segments thus located are further analyzed to determine their common (identical) data sections, regardless of the order and position of the common data sections in the repository and input, and in a time that is linear in the segment size and in constant space.

Systems and methods for efficient data searching, storage and reduction

Aspects of the present disclosure are directed to architectures, methods and systems and structures that facilitate the sharing and synchronization of electronically stored files among and between cloud entities and a number of computers, systems, devices and/or users. One particular exemplary architectural aspect includes the concurrent determination of file system changes within a cloud file system and a client file system, the serial ordering of necessary file system operations in response to the determined file system changes, and the concurrent execution of file system operations such that the cloud file system and the client computer file system are synchronized.

Sharing and synchronizing electronically stored files

Systems and methods for cross-system digital asset tag propagation

Methods, systems, and apparatus, including computer programs stored on computer storage media, for populating a structured presentation with new values. One aspect can be embodied in machine-implemented methods that include the actions of receiving description data describing a preexisting structured presentation, comparing characteristics of the preexisting structured presentation with content of electronic documents in an unstructured collection of electronic documents to locate electronic documents that identify a new value that is relevant to the preexisting structured presentation, adding the new value to the preexisting structured presentation to form a new structured presentation, and outputting instructions for visually presenting the new structured presentation.

Populating a structured presentation with new values

The present invention provides systems and methods that employ a statistical distributional analysis to improve content search engine search results In particular, a substring and/or a string sequence distributional algorithm can be applied to a set of queries to generate a distributional characteristic (eg, a profile) for the set of queries, wherein the set is selected from a plurality of queries stored on a query log Typically, the queries are selected based on a substring of interest and/or an identification of a user initiating searches The distributional characteristic can then be employed to determine a distributional similarity measure that can be utilized in connection with a search to facilitate search results via providing a mechanism to determine synonymous search terms, spelling corrections/variations, and facilitate collaborative filtering, for example Thus, the present invention employs a novel technique that mines and employs previous queries to enhance the query search results

Systems and methods that employ a distributional analysis on a query log to improve search results

A technique for determining when documents stored in digital format in a data processing system are similar. A method compares a sparse representation of two or more documents by breaking the documents into “chunks” of data of predefined sizes. Selected subsets of the chunks are determined as being representative of data in the documents and coefficients are developed to represent such chunks. Coefficients are then combined into coefficient clusters containing coefficients that are similar according to a predetermined similarity metric. The degree of similarity between documents is then evaluated by counting clusters into which chunks of similar documents fall.

Identifying similarities within large collections of unstructured data

A technique for efficient representation of dependencies between electronically-stored documents, such as in an enterprise data processing system. A document distribution path is developed as a directional graph that is a representation of the historic dependencies between documents, which is constructed in real time as documents are created. The system preferably maintains a lossy hierarchical representation of the documents indexed in such a way that allows for fast queries for similar but not necessarily equivalent documents. A distribution path, coupled with a document similarity service, can be used to provide a number of applications, such as a security solution that is capable of finding and restricting access to documents that contain information that is similar to other existing files that are known to contain sensitive information.

Michael Smolsky

Papers

Identifying similarities within large collections of unstructured data

Identifying history of modification within large collections of unstructured data

Identifying similarities and history of modification within large collections of unstructured data