Google Inc.

Payability, LLC

Swaminathan Krishnamurthy

Tushar Udeshi

Hal Ronald Varian

Christopher J Park

Shrikant S Kelkar

Robert On

Ivan Ordonez

David Paul

Phillip Oertel

Zaid Ateeq Mian

Mattias Bo Erland Granlund

Amin Ahmad

Elissa Lee

Nick Salvatore Arini

Aiyou Chen

Scott William Lynn

Keith Smith

Systems and methods for assigning word fragments to lines of text in optical character recognition (OCR) extracted data can include at least one processor obtaining a plurality of word fragments from OCR generated data associated with an image. The at least one processor can determine vertical coordinates of each of the word fragments in the image. The at least one processor can cluster the plurality of word fragments into one or more clusters of word fragments based on the vertical coordinates of the plurality of word fragments. The at least one processor can assign each word fragment of a respective cluster to a corresponding text line based on the clustering.

System and methods for assigning word fragments to text lines in optical character recognition-extracted data

Systems and methods for merging adjacent word fragments in outputs of optical character recognition (OCR) systems can include a processor obtaining word fragments associated with OCR data generated from an image. Each word fragment can be associated with a respective text line of a plurality of text lines. The at least one processor can determine, for each pair of adjacent word fragments in a text line, a respective normalized horizontal distance between the pair of adjacent word fragments. The processor can identify one or more pairs of adjacent word fragments that are candidates for merging based on the determined normalized horizontal distances. The processor can determine that a pair of adjacent word fragments, among the one or more pairs of adjacent word fragments that are candidates for merging, matches a predefined expression of a plurality of predefined expressions, and merge that pair of adjacent word fragments into a single word.

Systems and methods for merging word fragments in optical character recognition-extracted data

A system may include a memory, a processor, a network communication interface, and a module stored in the memory and executable by the processor. The module may be configured to: receive security credentials to receive non-finalized information from a provider, wherein the non-finalized information is associated with an operation completed by the provider on behalf of an entity; establish an operative communication channel with the provider computer system using the security credentials; receive the non-finalized information from the provider; process the received non-finalized information, wherein processing the received non-finalized information comprises calculating an accelerated transfer quantity; transfer the accelerated transfer quantity to the entity; receive finalized information and/or a resource quantity associated with the operation from the provider; determine a finalized transfer quantity owed to the entity by the provider; calculate a reconciled transfer quantity; and transfer the reconciled transfer quantity to the entity.

Computer system for accelerating resource transfers based on non-finalized operation information

A system for pagination of data based on recorded URL requests, includes a data store comprising a computer readable medium storing a program of instructions for performing the pagination of data based on recorded URL requests; a processor that executes the program of instructions; a data segmentation module to receive a log of the URL requests, and to segment the log for a specific source; a referral tree construction module to construct a referral tree for the specific source based on the segmented log and HTTP referrer fields associated with the log; a tree enhancement module to enhance the referral tree based on site-specific rules; a signal computation module to perform signal computation on a plurality of nodes associated with the enhanced referral tree; a classification module to identify each of the plurality of nodes subsequent to the signal computation is performed on the enhanced referral tree; and a page construction module to construct a web page based on the enhanced referral tree subsequent to the classification module identifying the plurality of nodes.

Identifying referral pages based on recorded URL requests

A usage control and data logging method, executed by a processor, includes receiving a request to configure a set of usage rules for a household; generating and storing a usage control rule set; receiving a report of Internet activity; reconstructing, by the processor, actual Internet usage from the report; tagging, by the processor, Web pages and content items accessed during the Internet activity; and aggregating the Internet activity usage into a personal analytics report.

Personal analytics and usage controls

A network access device directs an electronic device, distinct from the network access device, to display graphical user interface, the graphical user interface comprising a network access self-identification user interface. The network access device obtains a selection of a user identification option, through the self-identification user interface. In accordance with a determination that the selected user identification option corresponds to a registered user (e.g., a registered user in a research panel), of a previously defined set of registered users of the network access device, the network access device enables access to a communications network, in accordance with the application of one or more logging rules corresponding to the selected user. Further, in accordance with a determination that the selected user identification option corresponds to an unregistered, guest user, the network access device enables access to the communications network, without the application of any logging rules.

System and method for tracking network traffic of users in a research panel

A system, computer-readable storage medium storing at least one program, and a computer-implemented method for tracking network traffic of users in a research panel are presented. A packet for a network device coupled to the network access device is received. An indicia corresponding to a presumptive user of the network device is obtained, where the presumptive user includes a member of a set of known users. One or more logging rules is applied to the network device, where the one or more applied logging rules correspond to the obtained indicia. Information relating to the packet is stored when the packet satisfies at least one of the logging rules applied to the network device.

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San Jose, CA, United States of America

Swaminathan Krishnamurthy