System and method for logging and reporting mobile device activity information

Abstract
A computer-implemented method for logging and reporting mobile device information is provided. The method includes receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile. The activity information is sorted based on at least one predetermined criterion, and the sorted activity information is reported to a user. The invention further provides a computer activity monitoring and reporting system.
Description
BACKGROUND

With the growing ubiquity of mobile communication devices such as smart phones and the like, comes the increasing desire to monitor their use. Parents want to know who their children are calling. Employers want to know their employees' communication habits during work. Users want to study their own mobile communication device usage, for example to assist in selecting a suitable mobile device, telecommunication carrier or service plan. Data provided in a telecommunication service provider bill may be insufficient and not suitably presented to provide an understanding of mobile communication device use.


SUMMARY

The invention provides a computer-implemented method for logging and reporting mobile device information. The method includes receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile device. The activity information is sorted based on at least one predetermined criterion, and the sorted activity information is reported to a user.


The invention further provides a computer activity monitoring and reporting system comprising at least one computing system including at least one memory comprising instructions operable to enable the at least one computing system to perform a procedure. The procedure includes receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile device. The activity information is sorted based on at least one predetermined criterion, and the sorted activity information is reported to a user.


The invention further provides non-transitory computer-readable media tangibly embodying a program of instructions executable by a processor to implement a method. The method includes receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile device. The activity information is sorted based on at least one predetermined criterion, and the sorted activity information is reported to a user.





BRIEF DESCRIPTION OF THE DRAWING(S)

The following detailed description will be readily understood in conjunction with the appended drawings which illustrate embodiments of the invention. In the drawings:



FIG. 1 shows a system for logging and reporting mobile device activity information according to the invention.



FIGS. 2-3 are diagrams showing methods for logging and reporting mobile device activity information according to the invention.



FIG. 4 is a screen capture of an interface showing a report with monitored phone call and electronic text message history according to the invention.



FIG. 5 is a screen capture of an interface showing a report with monitored electronic text message history according to the invention.



FIG. 6 is a screen capture of an interface showing a report with ranked monitored communications according to the invention.



FIG. 7 is a screen capture of an interface showing a report with monitored call and electronic text message history according to the invention.





DETAILED DESCRIPTION OF ILLUSTRATIVE EMBODIMENT(S)

This invention provides a system and method for logging mobile device use and information and supplying numerical and visual diagrams for user analysis and comparison. Logs operatively associated with applications which monitor device activity include information such as date, time, contact details (e.g. name, phone number, email address, or other details), activity type (e.g. text message, email, phone call, application used, contact information, or other activity information), and content from interactions (e.g. text message content or email content). This data allows comparison of data over a span of time and is presented in different ways to highlight different types of data collected, for example in the form of numerical totals, visual graphs and tables.


Information is collected from a mobile device via a client application installed on the device and is stored in a server database. The information is retrieved by a user for example via a web application, where it is displayed and organized for the user to observe and gain insight into device use and patterns.


Referring to FIG. 1, an illustrative system 10 according to the invention includes a monitoring agent 12 for collecting and sending activity of a particular device user. The monitoring agent 12 is preferably a mobile client application executed by a mobile communication device 14 (“mobile device”), for example a smart phone. A monitor and control system 20 enables an application program interface (“API”) 22 which retrieves activity information from the monitoring agent 12 and stores activity information in an activity database 24. An interface application 26 retrieves and displays activity information corresponding to the device user stored in the activity database 24. The interface application 26 is preferably a web application operable via a web browser on any suitable network-enabled computing device, including for example the computing devices 16 or the monitored mobile communication device 14. Alternatively, the interface application 26 can include any application type suitable for providing information to a computing device.


The monitor and control system 20 is configured to sort activity information based on user preference, for example via a sorting engine 28, in real-time or on the fly, to enable viewing data chronologically (e.g. date or time), by keyword search, by contact details (i.e. with whom communications were initiated), or by the type of activity (e.g. phone calls, short message service (“SMS”) messages, instant messages (“IMs”), applications used, or other activities). An activity information history is logged, stored and rendered accessible for long-term and short-term comparisons via the activity database 24. Important events are also logged and used to provide more up-to-date activity alerts and notifications related to use of the monitored mobile device 14. A user accessing the interface application 26 via a computing device 16 can trigger transmissions from the monitoring agent 12 to the monitor and control system 20 via the monitoring agent API 22. The user can further trigger sorting of the transmissions.


Notifications that are sent from the monitoring agent 12 to a monitoring user via the interface application 26 are also included in the logs stored in the activity database 24. Data corresponding to a particular monitored user is preferably stored in the activity database 24 as one log. However, different logs can be generated by filtering the logs for more specialized lists via the interface application 26, for example based on preferences of a monitoring user. Logs can include for example indications of alerts, SMSs, phone calls, applications used, or other recorded activities.


The monitor and control system 20 is further enabled to effect locking controls on a monitored user's mobile device 14 via the monitoring agent 12 pursuant to instructions received by a monitoring user via the interface application 26. The monitoring user can select time periods when features of the mobile communication device 14, such as phone calling, text message transmission to and reception by a monitored user are to be enabled or disabled.


In a first example, a child mobile device user “Sally” just received a new mobile device from her parents and uses it non-stop. Via the interface application 26, her parents enable the monitoring agent 12 on Sally's mobile device 14 to begin logging her mobile device activity. The parents monitor Sally's activity on her mobile device 14 via their computing device 16. The parents notice from data retrieved via the interface application 26 that Sally constantly sends text messages to a mobile number they don't recognize. Through further investigation of the retrieved data, they realize the text messages were communications with a boy Sally recently met online 3 weeks prior.


In a second example, Jerry installs the monitoring agent 12 on his mobile communication device 14 and collects activity information over a 5-year period. Jerry would like to find out how much time he spends on average in work-related phone calls vs. social phone calls in order to better manage his time and to decide whether having a separate mobile device for work is worth having. Through interactive logging enabled by the interface application 26, Jerry sorts activity information based on what is important to him to know and determines if it is worth incurring the expense of a separate account. Sorting methods enabled by the sorting engine 28 to enable Jerry's research include:

    • sorting calls based on a contact name;
    • grouping all contacts from work into one chart to see the average total duration of phone calls;
    • grouping all contacts he considers friends or family into another chart;
    • comparing graphs of related information to make a decision or gain insight.


Contacts can be ranked based on an algorithm that takes into consideration an amount of time or number of communications between a monitored user and a particular contact, for example a number of calls to or an amount of time talking to a particular contact on the phone and the number of text messages sent to or received from the particular contact. A particular contact may be designated as a flagged contact, which will alert the monitoring user if the monitored device is used to talk to the particular contact or other communication is initiated with the particular contact.


Mobile communication devices can be used for communication in a variety of ways including phone calls and electronic text messages (e.g. SMSs). When presenting this information to an individual, it is desirable to list the contacts in order of the amount of communication between that contact and the monitored mobile device. For example, a parent may wish to know who their child talks to the most on the phone. This invention provides a means of ranking contacts who a monitored user may be communicating with in a variety of ways by assigning a quantitative measure to each form of communication. For example, a number of minutes spent talking on the phone and a number of text messages sent can be combined to achieve a single quantitative measure of communication with a particular contact. In another example, a phone call can correspond to a first factor and an electronic text message can correspond to a second factor, wherein the number of minutes in the phone call are multiplied by the first factor and the number of electronic text messages are multiplied by the second factor, and the results are summed to achieve the quantitative measure. Based on a determined quantitative measure, contacts can be ranked from most frequently communicated with to least frequently communicated with. Alternatively, a plurality of quantitative measures can be calculated for a contact.


An individual may want to monitor communication of a particular monitored user with a particular contact more closely. For example, a mother may want to know whether her child is talking to a particular new friend. This invention enables an individual to designate (flag) one or more contacts to be monitored extra carefully. Preferably, flagged contacts correspond to a lower threshold of notification. When a monitored mobile device is used to communicate in any way with such flagged contacts, the individual monitoring the device is preferably alerted by means of a message within a software application, an electronic text message, or an email.


Referring to FIG. 2, a diagram shows a method 100 for logging and reporting mobile device activity which can be implemented for example by the above-described monitor and control system 20. Activity information corresponding to use of a particular mobile device is received via a client executed on the particular mobile device (step 102). Activity information corresponds for example to recorded phone use, application use and electronic messaging use. The activity information is sorted based on one or more predetermined criterion (step 104), and the sorted activity information is reported to a user (step 106). The sorting engine 28 can perform the sorting based on predetermined criteria which is system defined or defined via sorting instructions received from a user, for example via the interface application 26.


Referring to FIG. 3, a diagram shows a method 200 according to the invention which can further be implemented via the above-described monitor and control system 20. Device activity information is received (step 202). It is determined if the activity information corresponds to a predetermined period of time (step 204), and if so a corresponding report indication is logged (step 206). It is further determined if the activity information corresponds to communication with an unknown contact (step 208), and if so a corresponding report indication is logged (step 210). A report including logged indications is generated and provided to a user (step 212). Logged report indications are reported to a user, for example via the interface application 26 in communication with a computing device 16 of a monitoring user.



FIG. 4 is a screen capture of an interface 300 including an example report generated according to the methods 100 and 200 showing monitored phone call and electronic text message history. The report includes indications 302 of logged phone calls by a monitored user which occurred on a particular day (“Monday”) during a particular predetermined time period (i.e. “school hours”). The report further includes an indication 304 of a phone call by a monitored user with an unknown contact on the particular day, for example a contact not corresponding to identifying information stored in the activity database 24, for example identifying information recorded by the monitoring agent 12. Indications of days of the week are shown with indications of alerts 306 for each day of the week in which phone calls or electronic messages correspond to the particular predetermined time period or correspond to one or more unknown contacts. Alternatively, activity information corresponding to any predetermined criterion can trigger an alert for a particular day and generation of a report. Activity information is quantified and reported with a display 308 of a number of electronic text messages on the particular day and a display 310 of a duration of phone calls on the particular day including phone calls corresponding to the indications 302, 304 and other phone calls not corresponding to an alert.


The monitor and control system 20 is further configured to determine from received activity information a total duration of phone calls and a total number of electronic messages which occur in a plurality of predetermined time slots in a day. One or more displays are provided to a monitoring user reporting the total duration of phone calls and/or the total number of electronic messages which occurred at each of the plurality of predetermined time slots. FIG. 5 is a screen capture of an interface 400 including an example report generated according to the invention showing monitored short message service (“SMS”) history of a particular monitored user of a mobile device as provided to a monitoring user. Hourly slots are displayed on a bar graph 402 with bars indicative of activity levels, specifically electronic text messages, occurring at respectively hourly slots during a seven day period. A display box 406 slot shows the total number of electronic text messages transmitted and received in the seven day period by the particular user. A display box 408 corresponding to a time slot between 9:00 am and 3:00 pm (“School Hours”) shows the number of electronic text messages transmitted and received between 9:00 am and 3:00 pm in the seven day period by the particular user. A display box 410 corresponding to a time slot between 10:00 pm and 6:00 am (“Late Night Hours”) shows the number of electronic text messages transmitted and received between 9:00 am and 3:00 pm in a seven day period by the particular user. The display boxes 408 and 410 further provide indications 409, 411 of whether particular functionality (e.g. electronic messaging or phone use) of the monitored mobile device is enabled (“unlocked”) or disabled (“locked”). The indications 409 and 411 further function as tools to allow the monitoring user to provide instructions to enable or disable such functionality, wherein the monitor and control system 20 is enabled to receive the instructions via the interface application 26.


The monitor and control system 20 is further configured to determine a plurality of contacts of the monitored user via a phone call or messaging history or a contact listing stored on the mobile communication device 14 or remote network location, for example a third party application server 30. A communication level of the plurality of contacts is determined and rankings of the plurality of contacts are generated and displayed based on their respective communication levels. FIG. 6 is a screen capture of an interface 500 including an example report generated according to the invention showing ranked monitored call history of a monitored user (“Andrew”) as provided to a monitoring user. A number of determined contacts are shown in a display box 502. A display box 504 shows a number of contacts designated as able to phone call or electronically text to a monitored user even when the phone calling and text messaging functionality is disabled (“locked”) to other non-designated contacts. A display box 506 shows a number of contacts whose communications with the particular monitored user the monitoring user would like to watch more closely, for example based on a selection by the monitoring user. A display box 508 lists contacts based on a determined communication level, wherein contacts are listed from most frequently communicated with to least frequently communicated with. The communication level can be determined based on a number of electronic text messages to or from each contact and the duration or number of phone calls with each contact, for example by applying different predetermined factors or algorithms to different communication types as described above. A display box 510 identifies phone numbers or other identifiers of contacts identified by the monitor and control system 20 within a predetermined period of time, for example within the past week or since a prior report was generated by the system 20.



FIG. 7 is a screen capture of an interface 600 including an example report according to the invention showing monitored call and SMS history of a monitored user as provided to a monitoring user. A display box 602 provides details of the monitored user's communications on a first day, and display box 604 provides details of the monitored user's communications on a second day.


While embodiments of the invention have been described in detail, the invention is not limited to the specific embodiments described above, which should be considered as merely exemplary. Further modifications and extensions of the invention may be developed, and all such modifications are deemed to be within the scope of the invention as defined by the appended claims.

Claims
  • 1. A computer-implemented method for logging and reporting mobile device information comprising: receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile device;sorting the activity information based on at least one predetermined criterion;for each of a plurality of days determining if the activity information corresponds to a predetermined period of time on the respective day;providing a display to a user showing a plurality of graphical indications respectively corresponding to at least one of the plurality of days; andproviding an indication of an alert to the user for each of the plurality of days for which the activity information corresponds to the predetermined period of time, wherein the alert is graphically displayed in conjunction with a respective indication of a day to show an association between the alert and the respective indication of the day.
  • 2. The computer-implemented method of claim 1, further comprising: receiving sorting instructions from the user; anddefining the at least one predetermined criterion based on the sorting instructions.
  • 3. A computer-implemented method for logging and reporting mobile device information comprising: receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile device;sorting the activity information based on at least one predetermined criterion;for each of a plurality of predetermined time slots in a day, determining from the activity information at least one of a total duration of phone calls or a total number of electronic messages which occurred; andproviding a display to a user showing a plurality of graphical indications respectively corresponding to at least one of a plurality of days or a plurality of time slots in a day and reporting to the user the at least one of the total duration of phone calls or the total number of electronic messages which occurred at each of the plurality of predetermined time slots in the day, the time slots and the at least one of the total duration of phone calls or the total number of electronic messages depicted graphically in the display to report the sorted activity information to the user.
  • 4. The computer-implemented method of claim 3, the method further comprising: for a particular time slot, enabling a user-actuatable tool in visible proximity to the display reporting to the user the at least one of the total duration of phone calls or the total number of electronic messages, the user-actuatable tool configured to enable and disable functionality of the particular mobile device during the particular time slot;receiving an instruction from the user to enable or disable functionality of the particular mobile device via the user-actuatable tool during the particular time slot; andproviding a command to the client to enable or disable the functionality of the particular mobile device pursuant to the instruction during the particular time slot.
  • 5. A computer-implemented method for logging and reporting mobile device information comprising: receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile device;sorting the activity information based on at least one predetermined criterion; andfor each of a plurality of days determining if the respective day corresponds to the at least one predetermined criterion;providing a display to a user showing a plurality of graphical indications respectively corresponding to the plurality of days to report the sorted activity information to the user; andproviding an indication of an alert to the user for each of the plurality of days corresponding to the at least one predetermined criterion, wherein the alert is graphically displayed in conjunction with a respective indication of a day to show an association between the alert and the respective indication of the day.
  • 6. A computer-implemented method for logging and reporting mobile device information comprising: receiving device activity information corresponding to use of a particular mobile device via a client executed on the particular mobile device;sorting the activity information based on at least one predetermined criterion;for each of a plurality of predetermined time slots during at least one day, determining from the activity information an activity level; andproviding a display to a user showing a plurality of graphical indications respectively corresponding to the plurality predetermined time slots and graphically reporting to the user the activity level at each of the plurality of predetermined time slots in the at least one day to report the sorted activity information to the user.
  • 7. The computer-implemented method of claim 3, wherein the activity information corresponds to communications performed via the mobile device with a plurality of contacts, the method further comprising: determining a communication level of the plurality of contacts;generating rankings of the plurality of contacts based on their respective communication levels; andproviding a display to the user showing the rankings of the plurality of contacts.
  • 8. The computer-implemented method of claim 7, further comprising determining the communication level based on at least two forms of communication.
  • 9. The computer-implemented method of claim 8, further comprising determining the communication level of the plurality of contacts based on a first factor corresponding to a first form of communication and a second factor corresponding to a second form of communication.
  • 10. The computer-implemented method of claim 8, wherein the at least two forms of communication comprise phone communications and electronic messages.
  • 11. The computer-implemented method of claim 10, further comprising determining the communication level of the plurality of contacts based on a first factor corresponding to phone communications and a second factor corresponding to electronic messages.
  • 12. The computer-implemented method of claim 1, further comprising: identifying contacts corresponding to the particular mobile device; andreporting to the user contact identifying information corresponding to contacts identified within the predetermined period of time.
  • 13. The computer-implemented method of claim 5, the method further comprising: determining if the activity information corresponds to a predetermined period of time; andreporting to the user that the activity information corresponds to the predetermined period of time.
  • 14. The computer-implemented method of claim 5, the method further comprising: determining if the activity information corresponds to a previously unrecorded contact; andreporting to the user that the activity information corresponds to the previously unrecorded contact.
  • 15. The computer-implemented method of claim 14, the method further comprising: for each of the plurality of days determining if the activity information corresponds to a predetermined period of time on the respective day; andproviding the indication of the alert to the user for each of the plurality of days for which the activity information corresponds to the predetermined period of time.
  • 16. The computer-implemented method of claim 11, wherein the activity information corresponds to at least one of phone call records or electronic messaging records: determining from the activity information at least one of a total duration of phone calls which occurred during a predetermined period of time or a total number of electronic messages which occurred during the predetermined period time; andreporting to the user the at least one of the total duration of phone calls which occurred during the predetermined period of time or the total number of electronic messages which occurred during the predetermined period time.
CROSS REFERENCE TO RELATED APPLICATION(S)

This application claims the benefit of U.S. Provisional Application No. 61/566,586, filed Dec. 2, 2011, which is incorporated by reference as if fully set forth.

US Referenced Citations (149)
Number Name Date Kind
4956825 Wilts et al. Sep 1990 A
5434562 Reardon Jul 1995 A
5673691 Abrams et al. Oct 1997 A
5882258 Kelly et al. Mar 1999 A
5907831 Lotvin et al. May 1999 A
5973683 Cragun et al. Oct 1999 A
6023692 Nichols Feb 2000 A
6161008 Lee et al. Dec 2000 A
6529724 Khazaka et al. Mar 2003 B1
6731746 Usami May 2004 B1
7178720 Strubbe et al. Feb 2007 B1
7257367 Etuk et al. Aug 2007 B2
7272633 Malik et al. Sep 2007 B2
7729945 Katz et al. Jun 2010 B1
7839891 Allan Nov 2010 B1
7925690 Smith et al. Apr 2011 B2
8010037 Bannwolf Aug 2011 B2
8024290 Yang et al. Sep 2011 B2
8095413 Beaven Jan 2012 B1
8121879 Cohen Feb 2012 B1
8135392 Marcellino et al. Mar 2012 B2
8160560 Geyer et al. Apr 2012 B2
8193982 Kupfer et al. Jun 2012 B2
8401521 Bennett et al. Mar 2013 B2
8621075 Luna Dec 2013 B2
8738688 Myers et al. May 2014 B2
8825035 Moton, Jr. et al. Sep 2014 B2
8843122 Wick et al. Sep 2014 B1
8849095 Hoofien et al. Sep 2014 B2
8856322 Dare et al. Oct 2014 B2
9124703 Tayadon et al. Sep 2015 B2
20020012894 Becker Jan 2002 A1
20020174180 Brown et al. Nov 2002 A1
20020178046 Lawrence Nov 2002 A1
20030005306 Hunt et al. Jan 2003 A1
20030082508 Barney May 2003 A1
20030211889 Walker et al. Nov 2003 A1
20040024569 Camillo Feb 2004 A1
20040030599 Sie et al. Feb 2004 A1
20040039624 Izekawa Feb 2004 A1
20040083472 Rao et al. Apr 2004 A1
20040219493 Phillips Nov 2004 A1
20040267607 Maddux Dec 2004 A1
20050003895 Nara Jan 2005 A1
20050096030 Boyd et al. May 2005 A1
20050287502 Southard et al. Dec 2005 A1
20060085547 Cormier Apr 2006 A1
20060184792 Berlin Aug 2006 A1
20060270476 Denkewicz Nov 2006 A1
20070039624 Roberts et al. Feb 2007 A1
20070041545 Gainsboro Feb 2007 A1
20070203872 Flinn et al. Aug 2007 A1
20070208802 Barman et al. Sep 2007 A1
20070263843 Foxenland Nov 2007 A1
20080176585 Eldering Jul 2008 A1
20080199199 Kato et al. Aug 2008 A1
20080201469 Reasor et al. Aug 2008 A1
20080246605 Pfeffer et al. Oct 2008 A1
20080299954 Wright et al. Dec 2008 A1
20090017750 Marcinkiewicz Jan 2009 A1
20090038005 Howarth Feb 2009 A1
20090055938 Samuel Feb 2009 A1
20090064316 Liao et al. Mar 2009 A1
20090089876 Finamore et al. Apr 2009 A1
20090181356 Dasgupta Jul 2009 A1
20090204471 Elenbaas et al. Aug 2009 A1
20090247124 de Atley et al. Oct 2009 A1
20090286218 Johnson et al. Nov 2009 A1
20090298019 Rogan et al. Dec 2009 A1
20100028844 Wiseman Feb 2010 A1
20100037088 Krivopaltsev et al. Feb 2010 A1
20100058446 Thwaites Mar 2010 A1
20100076274 Severson Mar 2010 A1
20100100618 Kuhlke et al. Apr 2010 A1
20100116884 Alderucci et al. May 2010 A1
20100125028 Heppert May 2010 A1
20100145976 Higgins et al. Jun 2010 A1
20100211887 Woollcombe Aug 2010 A1
20100235223 Lyman Sep 2010 A1
20100250352 Moore Sep 2010 A1
20100268768 Kurtenbach et al. Oct 2010 A1
20100285871 Shah et al. Nov 2010 A1
20100317420 Hoffberg Dec 2010 A1
20100330972 Angiolillo Dec 2010 A1
20110029598 Arnold et al. Feb 2011 A1
20110045868 Sheha et al. Feb 2011 A1
20110047078 Ginter et al. Feb 2011 A1
20110055546 Klassen et al. Mar 2011 A1
20110070567 Linton Mar 2011 A1
20110236872 Taylor Sep 2011 A1
20110252375 Chaudhri Oct 2011 A1
20110302003 Shirish et al. Dec 2011 A1
20120008526 Borghei Jan 2012 A1
20120066088 Murset Mar 2012 A1
20120069131 Abelow Mar 2012 A1
20120131161 Ferris et al. May 2012 A1
20120135705 Thaker May 2012 A1
20120149352 Backholm et al. Jun 2012 A1
20120151384 Stass et al. Jun 2012 A1
20120157076 Choi et al. Jun 2012 A1
20120166285 Shapiro et al. Jun 2012 A1
20120172027 Partheesh et al. Jul 2012 A1
20120172100 Colar et al. Jul 2012 A1
20120179767 Clarke et al. Jul 2012 A1
20120214472 Tayadon et al. Aug 2012 A1
20120215328 Schmelzer Aug 2012 A1
20120226704 Boland et al. Sep 2012 A1
20120253918 Marois et al. Oct 2012 A1
20120254949 Mikkonen et al. Oct 2012 A1
20120260118 Jiang et al. Oct 2012 A1
20120280916 Xia et al. Nov 2012 A1
20120323990 Hayworth Dec 2012 A1
20120330702 Kowalski et al. Dec 2012 A1
20130040629 Sprigg et al. Feb 2013 A1
20130084847 Tibbitts et al. Apr 2013 A1
20130091453 Kotler et al. Apr 2013 A1
20130104246 Baer et al. Apr 2013 A1
20130111462 Umansky et al. May 2013 A1
20130111510 Baker et al. May 2013 A1
20130143512 Hernandez et al. Jun 2013 A1
20130145007 Randazzo et al. Jun 2013 A1
20130185411 Martin Jul 2013 A1
20130198272 Shionoya et al. Aug 2013 A1
20130198296 Roy et al. Aug 2013 A1
20130225151 King et al. Aug 2013 A1
20130305384 Weiss Nov 2013 A1
20130316746 Miller et al. Nov 2013 A1
20130332886 Cranfill et al. Dec 2013 A1
20130339345 Soto et al. Dec 2013 A1
20130346333 Hassler et al. Dec 2013 A1
20140082065 Anakata Mar 2014 A1
20140108649 Barton et al. Apr 2014 A1
20140143108 Smith et al. May 2014 A1
20140236846 Melika et al. Aug 2014 A1
20140310327 Yip et al. Oct 2014 A1
20140310365 Sample et al. Oct 2014 A1
20140310403 Weiss et al. Oct 2014 A1
20140316990 Winston Oct 2014 A1
20140338006 Grkov et al. Nov 2014 A1
20150040246 Yuen et al. Feb 2015 A1
20150058488 Backholm Feb 2015 A1
20150095970 Shetty Apr 2015 A1
20150097669 Li Apr 2015 A1
20150099500 Chalmers Apr 2015 A1
20150163664 Martin Jun 2015 A1
20150169853 Singh Jun 2015 A1
20150188777 Frost Jul 2015 A1
20150350410 Weiss et al. Dec 2015 A1
20170132424 Anakata May 2017 A9
Foreign Referenced Citations (3)
Number Date Country
2863439 Jun 2005 FR
1770969 Apr 2007 GB
WO 2011137279 Mar 2011 WO
Non-Patent Literature Citations (1)
Entry
Kohavi, “Emerging Trends in Business Analytics”, Communications of the ACM, Aug. 2002, vol. 45, No. 8, pp. 45-48.
Related Publications (1)
Number Date Country
20130143521 A1 Jun 2013 US
Provisional Applications (1)
Number Date Country
61566586 Dec 2011 US