US20110106528A1 - Method and System to Automatically Change or Update the Configuration or Setting of a Communication System - Google Patents

Method and System to Automatically Change or Update the Configuration or Setting of a Communication System Download PDF

Info

Publication number
US20110106528A1
US20110106528A1 US12/913,176 US91317610A US2011106528A1 US 20110106528 A1 US20110106528 A1 US 20110106528A1 US 91317610 A US91317610 A US 91317610A US 2011106528 A1 US2011106528 A1 US 2011106528A1
Authority
US
United States
Prior art keywords
communication system
information
processor
setting
configuration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US12/913,176
Inventor
Paul Maddison
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Unify GmbH and Co KG
Original Assignee
Unify GmbH and Co KG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority to EP09013603 priority Critical
Priority to EP09013603.7 priority
Priority to EP10004021.1 priority
Priority to EP10004021.1A priority patent/EP2317730B1/en
Application filed by Unify GmbH and Co KG filed Critical Unify GmbH and Co KG
Assigned to SIEMENS ENTERPRISE COMMUNICATIONS GMBH & CO. KG reassignment SIEMENS ENTERPRISE COMMUNICATIONS GMBH & CO. KG ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: Maddison, Paul
Publication of US20110106528A1 publication Critical patent/US20110106528A1/en
Assigned to UNIFY GMBH & CO. KG reassignment UNIFY GMBH & CO. KG CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: SIEMENS ENTERPRISE COMMUNICATIONS GMBH & CO. KG
Application status is Abandoned legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/20Handling natural language data
    • G06F17/28Processing or translating of natural language
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L51/00Arrangements for user-to-user messaging in packet-switching networks, e.g. e-mail or instant messages
    • H04L51/04Real-time or near real-time messaging, e.g. instant messaging [IM]
    • H04L51/043Real-time or near real-time messaging, e.g. instant messaging [IM] use or manipulation of presence information in messaging
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/24Presence management
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network-specific arrangements or communication protocols supporting networked applications
    • H04L67/22Tracking the activity of the user

Abstract

A method and device for automatically changing or updating a configuration or setting of a communication system is disclosed. In one aspect, the method includes providing information to the communication system, the information comprising natural human language, storing the information in a digital storage device, detecting a triggering event in the information, and changing the configuration or setting of the communication system automatically using a processor. The information is an input to the communication system, an input from at least one alternate communication system, or a combination of an input to the communication system and an input from the at least one alternate communication system.

Description

    CROSS REFERENCE TO RELATED APPLICATIONS
  • This application claims foreign priority from European application No, EP09013603.7 filed on Oct. 29, 2009 and European application No. EP10004021.1, filed on Apr. 15, 2010. This application incorporates by reference both of those applications herein in their entirety.
  • FIELD OF INVENTION
  • The present invention relates generally to a method and a system to automatically change or update the configuration or setting of a communication system.
  • BACKGROUND OF THE INVENTION
  • Different systems and methods are well-known in the art, providing various kinds of communication services. Examples of such systems are phone switching systems, instant messaging systems and so-called social media network systems, like e.g. Twitter, LinkedIn or Facebook. Among these, public, office, or private systems may be distinguished. All of these systems provide their special set of services based on their special representation of the end-user and its respective data base. The results are disjoint communications streams, characterized by a certain degree of user-unfriendliness due to e.g. multiple presence status fields to look after and to be manually maintained. Furthermore, if done very frequently during the day, starting calls and conferences manually may be experienced as a hassle by the user.
  • The goal of facilitating the use of such modern communication systems has been approached in the art by distributing numerous synchronization applications (“Sync Apps”) to bridge information between different systems. As an example, the application “TwitterApp” for the Facebook service allows the Facebook status to be synchronized up with the Twitter status of user. Unfortunately, these kind of applications are restricted to merely translating a status information from one data base to the respective entry in the data base of another communication service. To further facilitate call set up, there are so-called click-to-call or click-to-conference applications available which however reside in only one of the many used communication systems.
  • SUMMARY OF THE INVENTION
  • The present invention aims at improving the facility of use of modern communication systems by providing a method and a device to automatically change or update the configuration or setting of a first communication system, the method using information gathered by the first communication system or information provided by a second communication system or both kinds of information. According to the invention, the used information comprises natural human language.
  • According to one embodiment of the present invention a method is disclosed for automatically changing or updating a configuration or setting of a communication system comprising providing information to the communication system, the information comprising natural human language, storing the information in a digital storage device, detecting a triggering event in the information, and changing the configuration or setting of the communication system automatically using a processor. The information is an input to the communication system, an input from at least one alternate communication system, or a combination of an input to the communication system and an input from the at least one alternate communication system.
  • In another embodiment of the present invention a device is disclosed for automatically changing or updating a configuration or setting of a communication system comprising a processor providing information to the communication system, the information comprising natural human language. The information is an input to the communication system, an input from at least one alternate communication system, or a combination of an input to the communication system and an input from the at least one alternate communication system. The device further includes a digital storage device storing the information, the processor detecting a triggering event in the information, and the processor automatically changing the configuration or setting of the communication system.
  • In the context of the present disclosure, the term of automatically changing or updating a configuration or a setting of a communication system covers all kinds of such changes or update processes, which are at least assisted, in many cases carried out completely by an information processing system, which preferably couples different disjoint communication systems together through intelligent and user-friendly means, preferably employing some kind of context sensitive trigger mechanism. This process of automatically changing or updating the configuration or setting of a communication system may be performed by using information gathered by the communication system to be changed or updated or by using information provided by another communication system or by employing both kinds of information in various kinds of combination.
  • The use information for changing or updating the configuration of setting of a communication system comprises natural human language of any kind or in any form, e.g. human speech recorded by sampling and converting acoustic signals to the digital domain or natural human language in the form of symbol sequences as e.g. text files, e-mails, short message services or parts of such information entities. Different kinds of natural human language, such as digital speech and text messages or parts thereof may be combined. According to one preferred embodiment of the present invention, the first communication system gathers information by collecting status information or status change information from at least one server used by at least one second communication system. For example, the communication system Facebook has a feature called “status updates” (also referred to simply as “status”) which allows users to post messages for all their friends to read. In turn, friends can respond with their own comments, and also press the “Like” button to show that they enjoyed reading it. A user's most recent status update appears at the top of their profile, and is also noted in the “Recently updated” section of a user's friend list.
  • Originally, the purpose of the feature was to allow users to inform their friends of their current “status” (i.e. their current feelings, whereabouts or actions) by referring to themselves in the third person (e.g. “George is happy” or “John is with Robert at his house”). However, users are no longer required to write in the third person.
  • Facebook originally prompted the status update with “User name is . . . ” and Facebook users filled in the rest. Later on, the requirement to start a status update with “is” was removed. The question “What are you doing right now?” was introduced. In March 2009, the status update question was changed from “What are you doing right now?” to “What's on your mind?”
  • Later on, Facebook added the feature to tag certain friends (or groups etc) within one's status update by adding an @ character before their name, turning the friend's name into a link to their profile and including the message on the friend's wall. In 2009, the communication system Myspace also added a new status update feature. If a Myspace user has a Twitter account, the tweet will also update the Myspace status. Other leading social networking websites Facebook, MySpace, LinkedIn, and XING also have their own status update feature, also known as microblogging.
  • With the increasing use of microblogging, many users want to maintain presence in more than one social network. Services such as Lifestream and Profilactic will aggregate microblogs from multiple social networks into a single list. Services such as Ping.fm will send out your microblog to multiple social networks. Facebook has a similar feature. It does, however, require that the two accounts to be synchronized (“synched up together”) by a corresponding synchronization action of a user or administrator.
  • According to the present invention, the use information for changing or updating the configuration of setting of a communication system comprises natural human language of any kind or in any form, e.g. human speech recorded by sampling and converting acoustic signals to the digital domain or natural human language in the form of symbol sequences as e.g. text files, e-mails, short message services or parts of such information entities. Different kinds of natural human language, such as digital speech and text messages or parts thereof may be combined.
  • According to another preferred embodiment of the present invention which may be combined with other embodiments of this invention, the first communication system gathers information by employing at least one keystroke listener running on at least one terminal device used by user of the first communication system.
  • According to another preferred embodiment, which may be combined with other embodiments of this invention, an expression matching step is performed with used natural human language data. In this way, expressions or groups of such expressions may be detected in used natural human language data and may be used to control subsequent actions which have been associated with such expressions.
  • According to another preferred embodiment which may be combined with other embodiments of the present invention, a step of extracting change or update information from the used natural human language data and a step of changing or updating the configuration or setting of the first communication system according to the extracted change or update information is performed during the method according to the present invention. In this way, expressions detected in the matching step or other expressions that may be associated with subsequent actions, such as change or update information may be extracted from the used natural human language data, and the configuration or setting of the first communication system may be changed or updated according to the extracted change or update information.
  • According to a further preferred embodiment of the present invention which may be combined with other embodiments of the invention, at least one communication action is performed by the first communication system, the action being triggered by a change or update of the configuration or setting of the first communication system according to information comprising natural human language used by the first communication system.
  • According to another preferred embodiment which may be combined with other embodiments of the invention, a learning algorithm based on a monitoring of correlated behavior of at least one user of at least one first or second communication system will be used as part of a method according to the present invention. The person skilled in the art knows various kinds of learning algorithms which may be used in this context. Examples of such learning algorithms may be so-called rule based learning algorithms or other kinds of adaptive algorithms which are suitable to adapt to correlations in the behavior of at least one user of at least one first or second communication system that may be observed by monitoring of such behavior.
  • According to another preferred embodiment which may be combined with other embodiments of a present invention, the learning algorithm comprises a discrete optimization algorithm, aiming at optimizing an objective function that represents at least certain aspects of the user-friendliness of at least one first or second communication system.
  • According to another preferred embodiment of the present invention which may be combined with other preferred embodiments, the discrete optimization algorithm is a stochastic optimization algorithm. Stochastic optimization (SO) methods are optimization algorithms which incorporate probabilistic (random) elements, either in the problem data (the objective function, the constraints, etc.), or in the algorithm itself (through random parameter values, random choices, etc.), or in both. The concept contrasts with the deterministic optimization methods, where the values of the objective function are assumed to be exact, and the computation is completely determined by the values sampled so far.
  • Partly-random input data arise in such areas as real-time estimation and control, simulation-based optimization where Monte Carlo simulations are run as estimates of an actual system, and problems where there is experimental (random) error in the measurements of the criterion. In such cases, knowledge that the function values are contaminated by random “noise” leads naturally to algorithms that use statistical inference tools to estimate the “true” values of the function and/or make statistically optimal or near optimal decisions about the next steps. Methods of this class include stochastic approximation, stochastic gradient descent, etc.
  • On the other hand, even when the data is exact, it is sometimes beneficial to deliberately introduce randomness into the search process as a means of speeding convergence and making the algorithm less sensitive to modeling errors. Further, the injected randomness may provide the necessary impetus to move away from a local solution when searching for a global optimum. Stochastic optimization methods of this kind include simulated annealing, stochastic hill climbing, evolutionary algorithms, genetic algorithms etc.
  • A genetic algorithm (GA) is a search technique increasingly used in computing to find exact (optimal) or approximate (near optimal) solutions to optimization and search problems. Genetic algorithms may be categorized as global search heuristics. Genetic algorithms may be regarded as a special subgroup of evolutionary algorithms (EA) that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover. Genetic algorithms may be implemented in a computer simulation, in which a population of abstract representations (sometimes referred to as “chromosomes” or the “genotype of the genome”) of candidate solutions (called “individuals”, “creatures”, or “phenotypes”) to an optimization problem evolves toward “better” solutions.
  • Frequently solutions are represented in binary form as strings of 0's and 1's, but other encodings are also possible and commonly used. The evolution usually starts from a population of randomly generated individuals and usually happens in generations. In each generation, the “fitness” of every individual in the population is evaluated, multiple individuals are stochastically selected from the current population (based on their fitness), and modified (recombined and possibly randomly mutated) to form a new population. The new population is then used in the next iteration of the algorithm. Commonly, the algorithm terminates when either a maximum number of generations has been produced, or a satisfactory fitness level has been reached for the population. If the algorithm has terminated due to a maximum number of generations, a satisfactory solution may or may not have been reached.
  • According to another aspect of the present invention, a system, arrangement, apparatus or device performing a method or employed by a method according to one of the disclosed embodiments of the invention is provided.
  • According to a preferred embodiment, the invention is providing a context sensitive trigger mechanism, which couples different disjoint communication systems together through intelligent and user friendly means, especially by that of natural human language. The invention may be further illustrated by an example based on two well-known communication systems, namely Twitter and OpenScape.
  • In one example, in a Twitter post (“Tweet”) a user types “I am out for lunch now”, the action by the context sensitive trigger mechanism is then to change the OpenScape one number service to voice mail, e.g. to transfer the phone of the user automatically to his voice mail without requiring any further interaction by the user.
  • In another example, in a Tweet reply to several people, a user may post “We really need to have conference calls on this issue”. In this case the action by the context sensitive trigger mechanism will be to set up automatically a voice conference in the OpenScape system including all people in the reply. The user now just needs to click on “start” to initiate the conference. If the user had typed “ . . . need to have a conference now” or “ . . . a conference at 2 pm” the context sensitive trigger mechanism would trigger the OpenScape system to initiate the conference call immediately without any further user interaction or send out an e-mail invitation for 2 pm.
  • In another example, a Tweet like, e.g. “I just landed in Boston” triggers the context sensitive trigger mechanism to activate the specific role profile in OpenScape which in this case would adapt the time of day routing rules to follow the right time zone.
  • A context sensitive trigger mechanism in the sense of the disclosure of the present invention may preferably use the following components:
  • A first useful component is the collection of the existing status change information from the servers used by the communication systems.
  • Through the application's programming interfaces (APIs) offered by most communication systems, namely e.g. the Twitter REST-full APIs or the Facebook APIs or “MySpace” APIs or any other blog status API, the context sensitive trigger mechanism calls or is notified about any activity or posting on the respective communication system. This listening process or service can run locally on the user's personal computer (PC) or centrally on a server, e.g. the OpenScape server.
  • An alternative but also preferred method to collect the desired information is to use a keystroke listener installed on the user's PC. This introduces the advantage of capturing all of the information inputted by the user, including information outside the communication systems. On the other hand it does not capture the information posted without the computer, e.g. a Tweet posted through an SMS from a mobile phone. Therefore, a combination of both methods may be preferable in some situations to capture both kinds of information.
  • A further useful component is some kind of e.g. iterative expression matching of certain key words inside the collected information.
  • The collected information, preferably collected as described before, is preferably continuously scanned through an expression matching algorithm, preferably in the following way: There may be a top level matching to look for the main content according to some key words, e.g. “conference”, “call”, “out”, “lunch”, etc. Then a context specific matching may be applied dependent on the found top level match, e.g. in the case of “conference” more specific information such as the time or the persons to be involved in the conference may be determined.
  • A further useful component is some kind of mapping and triggering of determined action to the communication representation of the user in the other communication system.
  • The desired actions, like the automated setting up of a conference is then preferably triggered by a context sensitive trigger mechanism by for example
      • mapping the user data from the communication systems, which provided the information gathered, preferably according to the above disclosure, to the user representation in the user data base of the target communication system, where the desired action is to be performed and
      • triggering the action through the interfaces provided by the target communication system.
  • A preferred embodiment of the invention may include the extension of communication user data base with the social network needed to be done up front (at setup of user). Other preferred embodiments of the invention may include a meta user data base service.
  • The keywords on top level or on the following context sensitive search level which have to be considered may be configured by an administrator. Such a configuration of the context trigger rules can be done in several ways.
      • Predefined match lists may be included in the context sensitive trigger mechanism by default, e.g. pre-programmed by the developers of the context sensitive trigger mechanism.
      • A user may have the option of self-configuration. In this case, the user can add, change or remove trigger rules.
      • A self-learning context sensitive trigger mechanism can detect automatically statistical correlations in the user's communication behavior, and based on that information suggest or create autonomously new trigger rules, e.g. in the case of Twitter and OpenScape UC the following scenario can be applied: A user, who regularly—after setting Twitter to follow person X—also adds the same person in his UC contact list, would be presented by the context sensitive trigger mechanism were the option to have a new context sensitive trigger rule stating that any Twitter follower setting action, automatically triggers the addition to the UC contact list.
  • In order to map the two different accounts and user data base entries of the same physical user in the involved communications systems, the context sensitive trigger mechanism needs to bridge these so far disjointed pieces of information. It needs to perform the federation of the user data between different communication systems. The context sensitive trigger mechanism therefore preferably uses the e-mail-address as common and unique identifier and scans regularly the respective data bases through their provided APIs.
  • Among the advantages of the invention disclosed so far, the following points deserve special attention. The invention facilitates to automate the creation of communication actions using triggers in natural language instead of machine commands or triggers from status information from advanced internet (web 2.0) services or social networking services, or triggers from personal Twitter posts or similar communication services.
  • Preferably, the context sensitive trigger mechanism not only transfers one piece of information from one communication system to another but interprets that information first based on some intelligence and then triggers the right associated behavior on the other communication system.
  • BRIEF DESCRIPTION OF THE FIGURES
  • FIG. 1 shows a first communication system;
  • FIG. 2 shows a change or update of the configuration or setting of a first communication system according to some preferred embodiments of the present invention;
  • FIG. 3 shows a change or update of the configuration or setting of a first and a second communication system according to some preferred embodiments of the present invention.
  • DESCRIPTION OF THE PREFERRED EMBODIMENTS
  • As illustrated by FIG. 1, a user 20 inputs information 4, 5 into a first communication system 1 or receives such information from this communication system. The information input or the information received by the user 20 may comprise all kinds of information, including but not limited to texts 5 or other digital information 4, like e.g. speech data, digital images, etc. The information may be provided through a user interface 11 shown in FIG. 2, wherein the user interface may include a microphone, a keyboard, or other communication input system. The information 6 input into or received from the first communication system 1 will in general be stored in a digital storage device 2. Also stored in some digital storage device 2 of the first communication system 1 will in general be some kind of configuration or setting information in the form of some kind of information records 3, including status information and other user specific information.
  • The automatic change or update of the configuration 3, or setting of the first communication system 1, uses e.g. information 9 gathered by the first communication system, as shown in FIGS. 1 and 2 or information 12 provided by a second communication system 1′, as shown in FIG. 3, or both kinds of information, and the used information comprises natural human language. The automatic change or update is done by some information processing means 7, e.g. a processor of one of the communication systems involved or a processor in a user device connected to one of the communication systems involved. The information processing means 7 analyses the natural human language information, preferably by employing an expression matching step performed with used natural human language data and preferably by extracting change or update information from the used natural human language data.
  • Upon detection of a triggering event in the communication streams 9, 12, a context sensitive trigger mechanism may preferably trigger 10, 10′ an update of the configuration 3, 3′ or setting by suitably changing the contents of the corresponding information records in at least one of the storage devices 2, 2′ of at least one of the communication systems 1, 1′ involved.
  • The invention has been described in preferred embodiments and complemented with supporting figures, but is not limited thereto. Those skilled in the art will recognize that a number of additional modifications and improvements can be made to the invention without departure from the essential spirit and scope. The scope of the invention should only be limited by the appended set of claims.

Claims (20)

1. A method for automatically changing or updating a configuration or setting of a communication system comprising:
providing information to the communication system, the information comprising natural human language;
storing the information in a digital storage device;
detecting a triggering event in the information; and
changing the configuration or setting of the communication system automatically using a processor; and
wherein the information is an input to the communication system, an input from at least one alternate communication system, or a combination of an input to the communication system and an input from the at least one alternate communication system.
2. The method of claim 1, further comprising gathering the information by collecting status information from at least one server used by the communication system.
3. The method of claim 1, further comprising the communication system gathering information by employing at least one keystroke listener running on at least one terminal device used by the communication system.
4. The method of claim 1, further comprising matching an expression contained in the information with natural human language data and extracting matched human language information.
5. The method of claim 4, further comprising changing the configuration or setting of the communication system according to the matched human language information.
6. The method of claim 5, further comprising the communication system performing at least one communication action, the communication action being triggered by a change of the configuration or setting of the communication system according to the matched human language information.
7. The method of claim 1, wherein the processor comprises a learning algorithm based on a monitoring of correlated behavior of at least one user of the communication system.
8. The method of claim 7, wherein the learning algorithm is a discrete optimization algorithm.
9. The method of claim 7, wherein the learning algorithm is a stochastic optimization algorithm.
10. The method of claim 1, wherein the processor is a processor of the communication system, a processor of the at least one alternate communication system, a processor in a user device connected to the communication system, or a processor in a user device connected to the at least one alternate communication system.
11. A device for automatically changing or updating a configuration or setting of a communication system comprising:
a processor that provides information to the communication system, the information comprising natural human language;
a digital storage device that stores the information;
the processor that detects a triggering event in the information; and
the processor that automatically changes the configuration or setting of the communication system; and
wherein the information is an input to the communication system, an input from at least one alternate communication system, or a combination of an input to the communication system and an input from the at least one alternate communication system.
12. The device of claim 11, wherein the processor gathers the information by collecting status information from at least one server used by the communication system.
13. The device of claim 11, wherein the processor gathers information by employing at least one keystroke listener running on at least one terminal device used by the communication system.
14. The device of claim 11, wherein the processor matches an expression contained in the information with natural human language data and extracts matched human language information.
15. The device of claim 14, wherein the information processing means changes the configuration or setting of the communication system according to the matched human language information.
16. The device of claim 15, wherein the communication system performs at least one communication action, the communication action being triggered by a change of the configuration or setting of the communication system according to the matched human language information.
17. The device of claim 11, wherein the processor has a learning algorithm based on a monitoring of correlated behavior of at least one user of the communication system.
18. The device of claim 17, wherein the learning algorithm is a discrete optimization algorithm.
19. The device of claim 18, wherein the learning algorithm is a stochastic optimization algorithm.
20. The device of claim 11, wherein the processor is a processor of the communication system, a processor of the at least one alternate communication system, a processor in a user device connected to the communication system, or a processor in a user device connected to the at least one alternate communication system.
US12/913,176 2009-10-29 2010-10-27 Method and System to Automatically Change or Update the Configuration or Setting of a Communication System Abandoned US20110106528A1 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
EP09013603 2009-10-29
EP09013603.7 2009-10-29
EP10004021.1 2010-04-15
EP10004021.1A EP2317730B1 (en) 2009-10-29 2010-04-15 Method and system to automatically change or update the configuration or setting of a communication system

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/678,076 US10303774B2 (en) 2009-10-29 2015-04-03 Method and system to automatically change or update the configuration or setting of a communication system
US16/382,799 US20190243901A1 (en) 2009-10-29 2019-04-12 Method and System to Automatically Change or Update the Configuration or Setting of a Communication System

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US14/678,076 Continuation US10303774B2 (en) 2009-10-29 2015-04-03 Method and system to automatically change or update the configuration or setting of a communication system

Publications (1)

Publication Number Publication Date
US20110106528A1 true US20110106528A1 (en) 2011-05-05

Family

ID=42557483

Family Applications (3)

Application Number Title Priority Date Filing Date
US12/913,176 Abandoned US20110106528A1 (en) 2009-10-29 2010-10-27 Method and System to Automatically Change or Update the Configuration or Setting of a Communication System
US14/678,076 Active 2032-10-12 US10303774B2 (en) 2009-10-29 2015-04-03 Method and system to automatically change or update the configuration or setting of a communication system
US16/382,799 Pending US20190243901A1 (en) 2009-10-29 2019-04-12 Method and System to Automatically Change or Update the Configuration or Setting of a Communication System

Family Applications After (2)

Application Number Title Priority Date Filing Date
US14/678,076 Active 2032-10-12 US10303774B2 (en) 2009-10-29 2015-04-03 Method and system to automatically change or update the configuration or setting of a communication system
US16/382,799 Pending US20190243901A1 (en) 2009-10-29 2019-04-12 Method and System to Automatically Change or Update the Configuration or Setting of a Communication System

Country Status (5)

Country Link
US (3) US20110106528A1 (en)
EP (1) EP2317730B1 (en)
JP (2) JP2011096259A (en)
KR (3) KR20130111509A (en)
CN (1) CN102055793B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8661043B1 (en) 2012-08-14 2014-02-25 Microsoft Corporation Distributed feature selection in social networks
US20140122616A1 (en) * 2011-07-12 2014-05-01 Zte Corporation Method and apparatus for realizing community federation
US20140143710A1 (en) * 2012-11-21 2014-05-22 Qi Zhao Systems and methods to capture and save criteria for changing a display configuration
US9736104B2 (en) 2013-04-19 2017-08-15 International Business Machines Corporation Event determination and template-based invitation generation
US9858591B2 (en) 2012-09-28 2018-01-02 International Business Machines Corporation Event determination and invitation generation
US10419554B2 (en) * 2015-11-12 2019-09-17 Facebook, Inc. Systems and methods for sharing information

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB201410550D0 (en) * 2014-06-13 2014-07-30 Scott Lionel Data transmission
ES2600145B1 (en) * 2015-08-06 2017-11-20 Proyectos Y Soluciones Tecnológicas Avanzadas, S.L.P. Instant messaging system

Citations (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030187646A1 (en) * 2002-03-27 2003-10-02 Sony Corporation Method of and apparatus for configuring and controlling home entertainment systems through natural language and spoken commands using a natural language server
US20050038650A1 (en) * 2000-09-29 2005-02-17 Bellegarda Jerome R. Method and apparatus to use semantic inference with speech recognition systems
US20050086255A1 (en) * 2003-10-15 2005-04-21 Ascentive Llc Supervising monitoring and controlling activities performed on a client device
US20050177732A1 (en) * 2004-01-23 2005-08-11 International Business Machines Corporation Intersystem communications
US20060004571A1 (en) * 2004-06-30 2006-01-05 Microsoft Corporation Homonym processing in the context of voice-activated command systems
US20060136221A1 (en) * 2004-12-22 2006-06-22 Frances James Controlling user interfaces with contextual voice commands
US20070050191A1 (en) * 2005-08-29 2007-03-01 Voicebox Technologies, Inc. Mobile systems and methods of supporting natural language human-machine interactions
US20070124143A1 (en) * 2003-10-08 2007-05-31 Koninkijkle Phillips Electronics, N.V. Adaptation of environment mismatch for speech recognition systems
US20080091800A1 (en) * 2006-10-13 2008-04-17 Xerox Corporation Local user interface support of remote services
US20080162259A1 (en) * 2006-12-29 2008-07-03 Ebay Inc. Associated community platform
US7400712B2 (en) * 2001-01-18 2008-07-15 Lucent Technologies Inc. Network provided information using text-to-speech and speech recognition and text or speech activated network control sequences for complimentary feature access
US20080221892A1 (en) * 2007-03-06 2008-09-11 Paco Xander Nathan Systems and methods for an autonomous avatar driver
US20080301816A1 (en) * 2007-06-01 2008-12-04 Ting David M T Method and system for handling keystroke commands
US20090143052A1 (en) * 2007-11-29 2009-06-04 Michael Bates Systems and methods for personal information management and contact picture synchronization and distribution
US20090150373A1 (en) * 2007-12-06 2009-06-11 Yahoo! Inc. System and method for synchronizing data on a network
US20090271514A1 (en) * 1999-06-03 2009-10-29 Yahoo! Inc. System and method for monitoring user interaction with web pages
US20100036779A1 (en) * 2008-05-16 2010-02-11 Norman Sadeh-Koniecpol User-controllable learning of policies
US7787749B2 (en) * 2003-03-07 2010-08-31 Siemens Enterprise Communications, Inc. System and method for voice portal control of an integrated communications center
US20100299615A1 (en) * 2007-09-28 2010-11-25 The Trustees Of Dartmouth College System And Method For Injecting Sensed Presence Into Social Networking Applications
US20110004692A1 (en) * 2009-07-01 2011-01-06 Tom Occhino Gathering Information about Connections in a Social Networking Service
US20110029608A1 (en) * 2009-07-28 2011-02-03 Geosolutions B.V. System for enhanced management of social networks on mobile devices
US20110035452A1 (en) * 2009-08-06 2011-02-10 Daniel Gittleman System and Method for Automatic Social Messaging
US20110047182A1 (en) * 2009-08-24 2011-02-24 Xerox Corporation Automatic update of online social networking sites
US8184825B1 (en) * 1998-11-17 2012-05-22 Aamp Of Florida, Inc. Vehicle remote control interface for controlling multiple electronic devices
US8595008B2 (en) * 2009-05-07 2013-11-26 Lg Electronics Inc. Operation control apparatus and method in multi-voice recognition system
US8620667B2 (en) * 2005-10-17 2013-12-31 Microsoft Corporation Flexible speech-activated command and control

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7679534B2 (en) * 1998-12-04 2010-03-16 Tegic Communications, Inc. Contextual prediction of user words and user actions
JP2004318529A (en) * 2003-04-16 2004-11-11 Ntt Docomo Inc Presence information management device and user's terminal
JP2008191748A (en) * 2007-02-01 2008-08-21 Oki Electric Ind Co Ltd Inter-user communication method, inter-user communication program and inter-user communication device
US8661046B2 (en) * 2007-09-18 2014-02-25 Palo Alto Research Center Incorporated Using a content database to infer context information for activities from messages
JP5262101B2 (en) 2007-12-17 2013-08-14 パナソニック株式会社 Power conversion circuit

Patent Citations (26)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8184825B1 (en) * 1998-11-17 2012-05-22 Aamp Of Florida, Inc. Vehicle remote control interface for controlling multiple electronic devices
US20090271514A1 (en) * 1999-06-03 2009-10-29 Yahoo! Inc. System and method for monitoring user interaction with web pages
US20050038650A1 (en) * 2000-09-29 2005-02-17 Bellegarda Jerome R. Method and apparatus to use semantic inference with speech recognition systems
US7400712B2 (en) * 2001-01-18 2008-07-15 Lucent Technologies Inc. Network provided information using text-to-speech and speech recognition and text or speech activated network control sequences for complimentary feature access
US20030187646A1 (en) * 2002-03-27 2003-10-02 Sony Corporation Method of and apparatus for configuring and controlling home entertainment systems through natural language and spoken commands using a natural language server
US7787749B2 (en) * 2003-03-07 2010-08-31 Siemens Enterprise Communications, Inc. System and method for voice portal control of an integrated communications center
US20070124143A1 (en) * 2003-10-08 2007-05-31 Koninkijkle Phillips Electronics, N.V. Adaptation of environment mismatch for speech recognition systems
US20050086255A1 (en) * 2003-10-15 2005-04-21 Ascentive Llc Supervising monitoring and controlling activities performed on a client device
US20050177732A1 (en) * 2004-01-23 2005-08-11 International Business Machines Corporation Intersystem communications
US20060004571A1 (en) * 2004-06-30 2006-01-05 Microsoft Corporation Homonym processing in the context of voice-activated command systems
US20060136221A1 (en) * 2004-12-22 2006-06-22 Frances James Controlling user interfaces with contextual voice commands
US20070050191A1 (en) * 2005-08-29 2007-03-01 Voicebox Technologies, Inc. Mobile systems and methods of supporting natural language human-machine interactions
US8620667B2 (en) * 2005-10-17 2013-12-31 Microsoft Corporation Flexible speech-activated command and control
US20080091800A1 (en) * 2006-10-13 2008-04-17 Xerox Corporation Local user interface support of remote services
US20080162259A1 (en) * 2006-12-29 2008-07-03 Ebay Inc. Associated community platform
US20080221892A1 (en) * 2007-03-06 2008-09-11 Paco Xander Nathan Systems and methods for an autonomous avatar driver
US20080301816A1 (en) * 2007-06-01 2008-12-04 Ting David M T Method and system for handling keystroke commands
US20100299615A1 (en) * 2007-09-28 2010-11-25 The Trustees Of Dartmouth College System And Method For Injecting Sensed Presence Into Social Networking Applications
US20090143052A1 (en) * 2007-11-29 2009-06-04 Michael Bates Systems and methods for personal information management and contact picture synchronization and distribution
US20090150373A1 (en) * 2007-12-06 2009-06-11 Yahoo! Inc. System and method for synchronizing data on a network
US20100036779A1 (en) * 2008-05-16 2010-02-11 Norman Sadeh-Koniecpol User-controllable learning of policies
US8595008B2 (en) * 2009-05-07 2013-11-26 Lg Electronics Inc. Operation control apparatus and method in multi-voice recognition system
US20110004692A1 (en) * 2009-07-01 2011-01-06 Tom Occhino Gathering Information about Connections in a Social Networking Service
US20110029608A1 (en) * 2009-07-28 2011-02-03 Geosolutions B.V. System for enhanced management of social networks on mobile devices
US20110035452A1 (en) * 2009-08-06 2011-02-10 Daniel Gittleman System and Method for Automatic Social Messaging
US20110047182A1 (en) * 2009-08-24 2011-02-24 Xerox Corporation Automatic update of online social networking sites

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140122616A1 (en) * 2011-07-12 2014-05-01 Zte Corporation Method and apparatus for realizing community federation
US10063512B2 (en) * 2011-07-12 2018-08-28 Zte Corporation Method and apparatus for realizing community federation
US8661043B1 (en) 2012-08-14 2014-02-25 Microsoft Corporation Distributed feature selection in social networks
US9858591B2 (en) 2012-09-28 2018-01-02 International Business Machines Corporation Event determination and invitation generation
US20140143710A1 (en) * 2012-11-21 2014-05-22 Qi Zhao Systems and methods to capture and save criteria for changing a display configuration
US9736104B2 (en) 2013-04-19 2017-08-15 International Business Machines Corporation Event determination and template-based invitation generation
US10419554B2 (en) * 2015-11-12 2019-09-17 Facebook, Inc. Systems and methods for sharing information

Also Published As

Publication number Publication date
US20190243901A1 (en) 2019-08-08
US10303774B2 (en) 2019-05-28
JP2014038632A (en) 2014-02-27
EP2317730B1 (en) 2015-08-12
KR20130111509A (en) 2013-10-10
KR20170008317A (en) 2017-01-23
KR102009912B1 (en) 2019-08-12
CN102055793A (en) 2011-05-11
US20150213005A1 (en) 2015-07-30
EP2317730A1 (en) 2011-05-04
JP2011096259A (en) 2011-05-12
KR20150010003A (en) 2015-01-27
CN102055793B (en) 2016-06-15
JP5762489B2 (en) 2015-08-12

Similar Documents

Publication Publication Date Title
US8306922B1 (en) Detecting content on a social network using links
US9424444B2 (en) Systems, apparatus, methods and computer-readable storage media for facilitating integrated messaging, contacts and social media for a selected entity
CN103793809B (en) Identify and use social networking
Delany et al. SMS spam filtering: methods and data
US8224359B2 (en) Provisioning my status information to others in my social network
EP2678861B1 (en) Hybridized client-server speech recognition
US9400972B2 (en) Weighting social network relationships based on communications history
US9705834B2 (en) System and method for analyzing communications
US9495712B2 (en) Social namespace addressing for non-unique identifiers
CN103608837B (en) It is automatically generated for the suggestion of the personalized reaction in social networks
JP4799057B2 (en) Incremental anti-spam lookup and update services
US20110035451A1 (en) Systems and Methods for Spam Filtering
US9058590B2 (en) Content upload safety tool
US20130124644A1 (en) Reputation services for a social media identity
TWI418993B (en) System and method for establishing personal social network, trusted network and social networking system
JP6178237B2 (en) Personal directory with social privacy and contact association functions
AU2011230610B2 (en) Computing device with remote contact list
US20080285729A1 (en) Communication Modalities Management
US9501746B2 (en) Systems and methods for electronic message analysis
CN102164170A (en) Contextual correlation engine
CN103078949B (en) Method and system for displaying the telephone number information
CN102158614B (en) Context sensitive, cloud-based telephony
WO2013112740A1 (en) System and method for conducting real-time and historical analysis of complex customer care processes
CN1946075B (en) Method and system to determine a user specific relevance score of a message within a messaging system
KR20110117072A (en) Enhanced voicemail usage through automatic voicemail preview

Legal Events

Date Code Title Description
AS Assignment

Owner name: SIEMENS ENTERPRISE COMMUNICATIONS GMBH & CO. KG, G

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MADDISON, PAUL;REEL/FRAME:025224/0594

Effective date: 20101027

AS Assignment

Owner name: UNIFY GMBH & CO. KG, GERMANY

Free format text: CHANGE OF NAME;ASSIGNOR:SIEMENS ENTERPRISE COMMUNICATIONS GMBH & CO. KG;REEL/FRAME:034537/0869

Effective date: 20131021

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION