Xerox Corporation

Shanmuga-Nathan Gnanasambandam

Naveen G Sharma

Gueyoung Jung

Gavan Leonard Tredoux

Robert J St Jacques, Jr

Hua Liu

Wendell Lewis Kibler

Andres Quiroz Hernandez

Shi Zhao

Haengju Lee

Lalit Keshav Mestha

Steven Jay Harrington

Ashok Murthy

Tracy Eugene Thieret

Tridib Mukherjee

Premkumar Rajendran

Zhiguo Li

Russell Neville

Michael P Kehoe

Venkatesh Guru Rao

Dennis C DeYoung

Yu-An Sun

Jack Douglas Jenkins, Jr

Daniel Timothy Jarvis

Changjun Wu

Bruce Carter Lyon

Warren Kleiman

William Voll

Gary Morey

David Cacciola

Bichen Zheng

Scott D Lavender

Phillip Donegan

A method, non-transitory computer readable medium, and apparatus for incorporating additional content in a document at a time of processing are disclosed. For example, the method initiates a request to process a document, receives an option to include one or more additional content to the document, selects at least one additional content to add to the printed document from the endpoint device at the time of processing, defines at least one access control of the at least one additional content and sends the request to process the document, wherein the at least one additional content is incorporated into the document that is processed and the at least one additional content has the at least one access control.

Method and apparatus for incorporating additional content in a printed document at a time of printing

An apparatus, method and non-transitory computer readable medium for predicting a service level of a call center are disclosed. The method performs operations for predicting a service level of a call center. The operations include collecting call data, agent topic skill data, agent skill level data, agent schedule data and agent attrition rate data, building a discrete event simulation model based on the call data, the agent topic skill data, the agent skill level data, the agent schedule data and the agent attrition rate data, predicting the service level of the call center at a future time based on the discrete event simulation model and recommending a number of agents and a skill mix of agents for each queue in the call center at the future time based on the service level that is predicted based on the discrete event simulation model to achieve a call center service objective.

Apparatus and method for call center service level prediction and action

Methods and systems for scalable extraction of episode rules using incremental episode tree construction in a multi-application event space comprise compiling events from multiple, different domain logs into in a universal log file, rolling domain-dependent and domain-independent windows through the universal log file to identify distinct event-pattern episodes, adding episodes to an episode tree data structure, pruning less frequent episodes from the episode tree, analyzing the episode tree to identify frequent episode rules, and applying the frequent episode rules to future interactions with users.

Methods and systems for identifying frequently occurring intradomain episodes and interdomain episodes in multiple service portals using average user session length

Methods and systems of performing data mining may include receiving a plurality of web log records and a plurality of call log records; associating one or more web log records with a call log record, wherein the associated user for each of the associated one or more web log records and the call log record are the same; identifying one or more patterns among the web log records for the plurality of call log records, wherein each pattern comprises one or more web accesses, a time stamp at which each of the one or more web accesses is performed and the call topic for the call log record; identifying one or more web log records associated with a new call, and predicting a call topic for the new call based on at least one pattern and the one or more web log records.

Systems and methods for behavioral pattern mining

A method and system for processing informational items originating from a plurality of information sources into a derived document for topical analysis thereof. Informational items are collated from a one of the sources in accordance with a predetermined plurality of relevant attributes and a key property value of common to select ones of the relevant attributes. Informational items are then grouped from the plurality of sources associated with the key common property value to form a document, wherein the informational items therein are marked on the informational source thereof. The document is then analyzed for topical identification.

Multi-source contextual information item grouping for document analysis

Embodiments relate to systems and methods for self-adaptive episode mining under time threshold using delay estimation and temporal division. An episode mining engine can analyze a set of episodes captured from a set of network resources to detect all sequences of user-specified frequency within a supplied runtime budget or time threshold. The engine can achieve desired levels of completeness in the results by mining the input log file in multiple stages or steps, each having successively longer lengths of event sequences. After completion of each stage, the engine calculates a remaining amount of runtime budget, and updates the amount of time to be allocated for each of the remaining stages up to a generated maximum stage (or sequence length). The engine thus corrects the estimated remaining time in the runtime budget (or threshold) after each stage, and continues to the next stage until the runtime budget is consumed.

Systems and methods for self-adaptive episode mining under the threshold using delay estimation and temporal division

A system and method is provided for providing targeted advertising to a user of a printer assembly having at least one printer device and having data communication capabilities. The printer assembly may include a grid which includes a plurality of printers that share resources and workloads. The aggregator server includes a processor for receiving and storing ad generation criteria from at least one advertiser, receiving target information from at least one printer assembly, and executing a series of programmable instructions. The instructions provide for matching the received target information with stored ad generation criteria, generating ads when a match is found, and delivering ads to the printer assembly for output to a user. Delivery or use of the ad may be verified. Charges may be levied on the advertiser for verified ads and the printer assembly may be credited accordingly, e.g., for subsidizing operating costs associated with the printer assembly.

System and method for generating and verifying targeted advertisements delivered via a printer device

Systems and methods for video episode viewing and mining comprise: receiving video data comprising a plurality of frames representing images of one or more objects within a physical area; identifying a plurality of events within the video data, wherein an event represents a movement of an object of interest from a first location in a grid associated with the physical area to a second location in the grid; generating a plurality of event data records reflecting the plurality of events; and determining one or more frequent episodes from the plurality of event data records, wherein an episode comprises a series of events associated with a particular object of interest.

System and method for video episode viewing and mining

What is disclosed is a novel system and method for parallel processing of intra-image data in a distributed computing environment. A generic architecture and method are presented which collectively facilitate image segmentation and block sorting and merging operations with a certain level of synchronization in a parallel image processing environment which has been traditionally difficult to parallelize. The present system and method enables pixel-level processing at higher speeds thus making it a viable service for a print/copy job document reproduction environment. The teachings hereof have been simulated on a cloud-based computing environment with a demonstrable increase of &#x2248;2&#xd7; with nominal 8-way parallelism, and an increase of &#x2248;20&#xd7;-100&#xd7; on a graphics processor. In addition to production and office scenarios where intra-image processing are likely to be performed, these teachings are applicable to other domains where high-speed video and audio processing are desirable.

Synchronous parallel pixel processing for scalable color reproduction systems

A system and method for scheduling and executing jobs in a decentralized multifunction device (MFD) network is provided. The method includes receiving at an origin node of the network of MFDs a job, where the job includes data and a request to perform an operation on the data. MFDs of the network are selected to execute the requested operation on at least a portion of the job data. Portions of the job data are apportioned to the selected MFDs for processing thereof by executing the requested operation. The selecting and the apportioning are performed using historical information related to previous performance and reliability of the MFDs of the network.

System and method for decentralized job scheduling and distributed execution in a network of multifunction devices

Methods and systems for automatically organizing devices in a network are disclosed. Information may be collected for a plurality of devices in a predetermined area over a predetermined period of time. The information may include device location information and device information for one or more user groups. Each user group may include one or more users. An average preference for each user group may be determined for each device based on the device usage information. The plurality of devices may be organized automatically into a plurality of clusters based on at least the determined average preferences. Each cluster may include one or more devices.

Method and system for collaborative self-organization of devices

According to one aspect of the disclosure, provided are methods of providing user requested printed material, including one or more targeted communications to the user. According to one exemplary embodiment, the targeted communications are associated with an auction, whereby an optimal reserve price is determined to maximize profits.

Method of providing targeted communications to a user of a printing system

A file storage system includes one or more document input devices and a processor communicating with both a memory and the one or more document input devices. The processor executes a software application stored on the memory to separate a sensitive portion of a document from an insensitive portion of a document. A first type of cloud storage includes one or more storage devices in operable communication with the one or more document input devices. The first type of cloud storage is configured to store one or both of the separated portions with a level of encryption agreed upon by a user. A second type of cloud storage includes one or more storage devices in operable communication with the one or more document input devices. The second type of cloud storage is configured to store the insensitive portion of a document based on a consent of the user.

System and method for policy-driven file segmentation and inter-cloud file storage and retrieval

Methods and systems for partitioning data for processing in a plurality of data centers are disclosed. For each of a plurality of data centers, a time period required for the data center to process an amount of information may be estimated. The plurality of data centers may be ordered based on the time period for each data center. Data may be received from one or more sources. A data center having a smallest time period from the ordered plurality of data centers may be selected to be added to a set of data centers. An overall execution time for the set of data centers to process the data may be determined. The selecting and determining operations may be repeated until the overall execution time satisfies one or more threshold criteria. The data may be transmitted to the set of data centers.

Systems and methods of partitioning data for synchronous parallel processing

A method and system including a plurality of multifunction devices (MFDs), the method and system further including a storage station having geographically separated MFDs for permitting users to store information generated by the plurality of MFDs in operable communication with the locale aware DFS; wherein the information is stored on a plurality of storage stations based on a weighted undirected graph generated from a plurality of dynamically monitored user behaviors, required level of replications, and selection rules to pick the points of storage.

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Webster, NY, United States of America

Shanmuga-Nathan Gnanasambandam