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System for event-based intelligent-targeting

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Title: System for event-based intelligent-targeting.
Abstract: An event-based intelligent targeting engine is capable of delivering highly relevant content, including, but not limited to, advertisements, alerts, messages, notifications, warnings, signals, machine-to-machine (M2M) telemetry, entertainment/media, and any communications thereof, etc. based on real-time situations (i.e., observed events) of a user as well as, historical preferences both explicitly stated or observed in behavior including demographics, psychographics, and sociographics. ...


Browse recent Samtec Inc. patents - New Albany, IN, US
Inventors: Marc INGRAM, Wooyong EE
USPTO Applicaton #: #20110238647 - Class: 707706 (USPTO) - 09/29/11 - Class 707 


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The Patent Description & Claims data below is from USPTO Patent Application 20110238647, System for event-based intelligent-targeting.

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The entire contents of U.S. application No. (80505.103), filed concurrently with this application and titled “Communication System Including Telemetric Device for a Vehicle Connected to a Cloud Service,” are hereby incorporated in their entirety by reference.

BACKGROUND OF THE INVENTION

1. Field of the Invention

The present invention relates to an analytical engine with a timely and context-sensitive delivery mechanism. More specifically, the present invention relates to an event-based intelligent targeting engine capable of delivering highly relevant content, including, but not limited to, advertisements, alerts, messages, notifications, warnings, signals, machine-to-machine (M2M) telemetry, entertainment/media, and any communications thereof, etc., based on real-time situations (i.e., observed events) of a user as well as, historical preferences both explicitly stated or observed in behavior including demographics, psychographics, and sociographics, etc. Demographics includes data concerning a user\'s age, gender, educational attainment, employment status, religiosity, location, etc.; psychographics includes data concerning a user\'s activities, interest, opinions, behaviors, attitudes, needs, etc.; and sociographics includes data concerning a user\'s personal profile, needs, wants, attitudes, passions, social graphs/relationships, behaviors, etc.

2. Description of the Related Art

The use of search engines is well known in the art. For example, Google, Yahoo, and Microsoft provide known search engines for finding information on the internet. However, these known search engines can only reach a desired audience by using limited demographics. For example, Google, Yahoo, and Microsoft do not use specific location information and can only use approximate location information determined by IP Address, cookies, browsing history, etc.). Further, Google, Yahoo, and Microsoft can only use limited, if any, sociographics information.

Also known are location based network services, such as Foursquare. Foursquare users can check in via their cell phone when they arrive at new locations. Users get points for checking in at certain areas. Users can follow their friends by monitoring their location through Foursquare. However, Foursquare uses limited location data. Foursquare does not use interests, trends, friendships, etc.

Other systems do not use combinations of location, time, and preferences of users delivering content or combine such data in real-time. Known systems also do not proactively send alerts or notifications without prompting by a user.

SUMMARY

OF THE INVENTION

To overcome the problems described above, preferred embodiments of the present invention include an event-based intelligent targeting system and apparatus including an engine capable of delivering highly relevant content, including, but not limited to, advertisements, alerts, messages, notifications, warnings, signals, machine-to-machine (M2M) telemetry, entertainment/media, and any communications thereof, etc. based on real-time situations (i.e., observed events) of a user as well as, historical preferences both explicitly stated or observed in behavior including demographics, psychographics, and sociographics, etc. Users include not only individual consumers and subscribers of preferred embodiments of the present invention but also machines and computing resources that use preferred embodiments of the present invention. Preferred embodiments of the present invention consider the user\'s current situation, including where he is, what he\'s doing, and what he needs; and consider the user\'s past, including what he\'s purchased or inquired about in the past (e.g., purchasing patterns or travel behavior); and consider the user\'s stated behaviors, including what he “says” he likes in social networking sites. The preferred embodiments of the present invention include an event-based intelligent targeting engine that can deliver highly relevant content (e.g. alerts, advertisements, messages, signals, etc.) to a targeted audience in a context-sensitive manner.

Highly relevant content can include, but is not limited to, alerts, advertisements, messages, signals, information, media, etc. that can be used by the user.

The targeted audience can be determined based on, at least in part, demographics, psychographics, and sociographics.

The preferred embodiments of the present invention consider the user\'s situation including, but not limited to, present location, time, inferred destination, and actions to deliver content in a timely and context sensitive manner by considering real-time inputs as well as stated and observed preferences.

The above and other features, elements, characteristics and advantages of the present invention will become more apparent from the following detailed description of preferred embodiments of the present invention with reference to the attached drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1A is a schematic drawing showing an event-based intelligent targeting engine 12 according to a preferred embodiment of the present invention.

FIG. 1B is a schematic drawing showing an arrangement of an event-based intelligent targeting engine 12 according to a preferred embodiment of the present invention.

FIG. 2 is a schematic drawing showing additional details of the inputs of an event-based intelligent targeting engine 12 according to a preferred embodiment of the present invention.

FIG. 3 is a schematic drawing showing additional details of the arrangement of an event-based intelligent targeting engine 12 according to a preferred embodiment of the present invention.

DETAILED DESCRIPTION

OF PREFERRED EMBODIMENTS

FIG. 1A is a schematic drawing showing the basic arrangement of an event-based intelligent targeting engine 12 according to a preferred embodiment of the present invention. The event-based intelligent targeting engine 12 receives inputs 11 and provides outputs 13. The event-based intelligent targeting engine 12 receives a succession of inputs 11, where the inputs can be classified into three categories: events 18, data 19, and content and resources 20, for example. The intelligent targeting engine 12 processes these inputs 11 into useful outputs 13.

The event-based intelligent targeting engine 12 can simultaneously receive and process incoming inputs 11 and generate the appropriate context-sensitive output (i.e., a targeted resource or content such as, but not limited to, a song or advertisement). The types of inputs are shown in FIG. 2. The output 13 of the event-based intelligent targeting engine 12 can include, for example, advertisements with high relevancy that are based on the location-based and time-based context of the user receiving the output.

Typical users of the outputs 13 are, but not limited to, mobile clients and devices, subscribers, and third party platforms (business-to-business (B2B), machine-to-machine (M2M), etc.

The event-based intelligent targeting engine 12 processes the input events 11 to intelligently create the targeted outputs that can influence the user. The event-based intelligent targeting engine 12 intelligently creates the targeted outputs based on one or more of audience, time of day, specific preference for the output being distributed, event, and any other suitable parameter (e.g., eye color, hair color, type of vehicle, etc.).

The event-based intelligent targeting engine 12 continuously processes event inputs. That is, the event-based intelligent targeting engine 12 is always on and listening for new events and does not require any user interaction to initiate or request a specific output.

FIG. 1B is a schematic diagram that shows an expanded view of the event-based intelligent targeting engine 12. As shown in FIG. 1B, the event-based intelligent targeting engine 12 preferably includes four major systems, which include a system interface 14, a data aggregator 15, an intelligence processor 16, and resource services 17. The system interface 14 handles the inputs 11 and outputs 13. The data aggregator 15 collects data from various sources applying techniques including, but not limited to, mining, scraping, and harvesting of data provided by the system interface 14. The intelligence processor 16 processes the data obtained by the data aggregator 15 and creates query strategies (e.g., quick lookups) and heuristics in the system to enhance targeting and content delivery. Quick lookups are tables with quick references to certain data. It is information that is deemed relevant or common that saves the processor time.

Users of the outputs 13 can be separated into two groups: registered users and registered clients. Registered users are consumers who have opted-in and agreed to receive communication from the event-based intelligent targeting engine 12 via the system interface 14. Registered users are typically individual persons; however, it is possible that an organization such as a corporation could be a registered user. Registered users can receive communication through, but not limited to, the use of web or mobile applications, cellular telephones via SMS/MMS, vehicle telemetric devices, laptops, computers, PDAs, etc.

Registered clients can be paying customers who wish to use the event-based intelligent targeting engine 12 via the system interface 14 (as an example, using an API) to provide a useful output, such as a collection and/or analysis of data and a targeted advertisement to be sent to the registered clients. Registered clients are typically third party entities or corporations. Registered clients can be a one-time user. For example, a registered client might be an organization that requests that a specific search be supplied of the registered users that are customers or potential customers of the organization. The request can be inputted into the event-based intelligent targeting engine 12 manually or through electronic submission.

As shown in FIG. 2, the event-based intelligent targeting engine 12 preferably receives three primary inputs: events 18, data 19, and content and resources 20. It is possible to receive other inputs. Further, events 18 include generally live or real-time triggers including, but not limited to, location, time, actions, or inquiries that are generated by users.

Users can choose to make available their own content and resources (such as advertisements or private demographic data) as part of content and resources 20 to make the outputs 13 more relevant.

Events 18 are changes in data, such as movement, change in location, time change, or other deliberate actions on the part of the connected device or user, that meet predetermined criteria that the event-based intelligent targeting engine 12 considered significant.

Events 18 can trigger a predetermined or reactive response to events 18. A reactive response is when the event-based intelligent targeting engine 12 delivers content or notifications to the user without being prompting by the user. This could be, for example, (1) a diagnostic codes and a location where to get the cause of the diagnostic code fixed or (2) a traffic condition and a suggested or alternative route. Predetermined responses can be to run ads at a certain time or location. For example, a telemetric device can transmit location data in real-time as an event 18. The telemetric device can be the telemetric device disclosed in U.S. application No. (Attorney Docket No. 80505.103) entitled “Communication System Including Telemetric Device for a Vehicle Connected to a Cloud Service,” and concurrently filed herewith, as referred to above. However, it also possible that other telemetric devices could be used. The changes in input data 11 may not be considered significant enough to be considered an event 18 for the system interface 14 to constitute a reaction from the intelligence processor 16.

Events 18 also include direct search inquiries. For example, a search inquiry will cause the intelligence processor 16 to conduct a search. The results of such a search by the intelligence processor 16 is provided as an output 13 when completed. Typically, events 18 will originate from registered users and/or registered clients.

Data 19 can include information such as, but not limited to, databases, reports, and systems, that is used by the data aggregator 15 to assist the intelligence processor 16 in targeting relevant content. Although the nature of the data 19 may not be different than content and resources 20, the way in which the intelligent event processing engine 12 uses the input differs. Data 19 is used to facilitate intelligent decision making, whereas content and resources 20 is the delivered content.

Further, data 19 can include systems, but is not limited to, social networks, blogs or micro-blogs, and location networks, etc. Although data 19 can be generated by users, a wide range of sources can provide data 19. The data 19 can also be automatically obtained if the data is in electronic format and of public record. The event-based intelligent targeting engine 12 can use the data 19 to generate trending data, which could come from, but is not limited to, social networks, reports or stored municipalities/government databases, etc. Further, trending data is generated by analyzing multiple data inputs to determine a trend in users or groups. An example of identifying trends are hashtags used with Twitter, in which words with the most tweeted hashtags becomes trending topics. Thus, it is possible to use trending data generated by social networks (interest, friendship statuses, relationships statuses, etc.) and micro-blogs. Government database trending could be age and demographics of a certain neighborhood, median age of speeding tickets, criminal citations, etc.

Data 19 can include a database of a user\'s preferences, including, for example, favorite music types and interests that can be electronically obtained from sources, including but not limited to, social networking websites, user profiles, etc. Data 19 can also include traffic and construction reporting. The traffic and construction reports can be obtained, for example, through municipality reporting or can be generated by analyzing location-based and time-based based data received as events 18. With an accurate traffic or construction update, whether obtained or generated by the event-based intelligent targeting engine 12, the event-based intelligent targeting engine 12 can use a registered user\'s location and time to deliver a traffic report to the registered user as an output 13.

Content/resources 20 include, but are not limited to, advertisements, songs, services, etc. A registered client can generate advertisement content to be input into content/resources 20 to be later delivered to a specific set registered user based on parameters, including, for example demographic parameters. The advertisement content generated by the registered client can be, for example, a coupon for a discount to a coffee shop.

The event-based intelligent targeting engine 12 can use events 18, such as, but not limited to, location and time, and data 19, such as, stored user preferences, to generate a highly relevant advertisements directed to specific registered users. For example, if a registered user is within range of the registered client\'s business during operating hours and the event-based intelligent targeting engine 12 determines that the registered user would likely respond to the advertisement based on the registered user\'s data stored within the event-based intelligent targeting engine 12, the event-based intelligent targeting engine 12 can deliver the advertisement to the registered user.

FIG. 3 is a schematic drawing showing expanded view of one example of an implementation of the intelligent targeting engine 12. As shown in FIGS. 1B and 2, FIG. 3 shows the four systems, system interface 14, data aggregator 15, intelligence processor 16, and resource services 17, discussed above, and their individual components.

The system interface 14 preferably includes the event listener 22 and the notification services 23. The data aggregator 15 preferably includes data mining component 24, data warehouse 26, and preferences database 25. The intelligence processor 16 preferably includes lookup engine 27 and processor 28. The resource services 17 preferably include external data aggregator 29 and other cloud based resources 30.

Although FIG. 3 shows a specific implementation of the intelligent targeting engine 12, it is possible to use different implementations of the intelligent targeting engine 12. The four systems and their components of the intelligent targeting engine 12 can be restructured by adding new systems and/or components. For example, the event listener 22 could include a content listener or data gathering service that pushes information to the data aggregator 15. Additionally, the entire resource services 17 system could be restructured and encompassed into the system interface 14, eliminating the overall need for resource services 17. It is also possible for individual components to be restructured, added, or removed to encompass.

In the system interface 14, the event listener 22 handles most of the inputs 11 to the intelligent targeting engine 12. Other inputs may be from external data sources that are directed to the resource services 17. The event listener 22 transmits the inputs to the notification services 23, where it is transmitted to the processor 28 in the intelligence processor 16. The notification service 23 provides the outputs 13 of the intelligent targeting engine 12. The number of outputs is not limited in type or number. Outputs 13 can include, for example, advertisements, media content such as music or movies, requested data by registered clients and/or users, directions, search results, traffic reports, etc. or any other content available via the resource services 17.

The notification services 23 are linked to the preferences database 25, stored within the data aggregator system 15, which stores the rules, guidelines, and preferential inputs received from the event listener 12. These stored inputs could include user/subscriber generated information or machine-generated information. For example, user/subscriber information could be the like or dislike of an advertisement. Machine generated information, could be reports generated by a telemetry device indicating which roads or highways are mostly used or preferred. Further, the preference database 25 shares data with the intelligence processor 28 in the intelligence processor system 16.

After the input 11 is transmitted by the notification services 23 to the processor 28, the processor 28 processes the input to enhance the existing queries and heuristics that exist in lookup engine 27.

The data aggregator 15 then stores the data in the data warehouse 26. The data gathering & mining component 24 accumulates the data in the data warehouse 26 in real-time, creates quick lookups or advanced heuristics and stores the quick lookups or advanced heuristics into the lookup engine 27. The lookups or advanced heuristics can include, but is not limited to prepackaged or compiled queries, analytic results, decision trees, summarized demographics, parameterized algorithms, or other suitable heuristics.

The processing of the data stored in the data warehouse 26 into useful data by the processor 28 is accomplished by using the data gathering & mining component 24 to further enhance the search queries and heuristics in the lookup engine 27.

The resource services 17 are continually populating the data warehouse 26 via the external data aggregator 29. The external data aggregator 29 can use external tools or systems, such as, but not limited to, crawlers, spiders and harvesters.

After receiving a request and obtaining sufficient data for processing, the processor 28 can transmit a notification output through the notification services 23. During this process, the processor 28 can refer to the input 11 connected to the external data aggregator 29 and deliver the resulting content via the notification services 23 as output 13. For example, provided sufficient information, the processor 28 can decide to output a unique advertisement to a registered user. During this process, the processor 28 can receive an audio file or similar resource from the resource services 17, which was referenced by the lookup engine 27 in the intelligence processor 16. Other cloud-based resources 30 can include, but are not limited to, APIs from third party sources.

The registered clients can deliver messages catered to specific registered users in the most direct and cost efficient way possible. Registered clients will be able to use the event-based intelligent-targeting engine 12 to develop information specific to registered users or trending users in a predetermined region.

For example, a registered retailer client could use the event-based intelligent-targeting engine 12 to deliver a coupon for 15% off of an oil change to registered users who are in need of an oil change within the next 15 to 30 days and whose vehicle is or will be within a specific radius of the retailer\'s store or stores. The registered retailer client could enter as an input 11 into the event-based intelligent-targeting engine 12 a request for the specific parameters described above. The event-based intelligent-targeting engine 12 can analyze the request and begin analyzing the data to determine which users were or will be within the set radius and in need of an oil change based on the reporting of a telemetric device or registered user\'s inputs. Once the registered users who would benefit from the advertisement are identified, the event-based intelligent-targeting engine 12 could then determine at what time to distribute the advertisement in the most efficient manner to the registered user to ensure that the coupon was most likely to be used. For example, as a registered user is driving home from work, the event-based intelligent-targeting engine 12 could realize that the registered user\'s workday is over. Based on the location of the registered user, the event-based intelligent-targeting engine 12 can determine that the registered user is within three miles of the requesting retailer client\'s store. The event-based intelligent-targeting engine 12 can deliver a notification alerting the registered user that an oil change is recommended and can deliver turn-by-turn directions to the closest oil change facility where the 15% off coupon for the oil change could be used.

The event-based intelligent-targeting engine 12 could also notify the registered user that there is currently no line at the retailer\'s store so that the oil change could be completed within the next twenty minutes. This direct advertising to users eliminates excessive cost and waste. The registered users receiving the advertisements could actually view the advertisements as not advertisements but rather informational and cost saving notifications. Because of the extensive cost savings enjoyed by both registered users and registered clients, mutual benefit is received from the intelligence of the event-based intelligent-targeting engine 12.

Registered users can enjoy the proactive notification method of the event-based intelligent-targeting engine 12 because the proactive notification method will alert registered users at the most relevant time. For example, a registered user could have to-do list on their mobile phone. The to-do list could include, among others tasks, the task of getting milk from the grocery store after work. The event-based intelligent-targeting engine 12 can receive data related the registered user\'s location, which can determined, for example, based on the registered user\'s mobile phone or telemetric device, registered user\'s to-do-list task of getting milk, and regional grocery store databases, etc. The event-based intelligent-targeting engine 12 can process all of this data to generate a notification to the registered user that the registered user is approaching a grocery store where milk can be purchased. The notification could be as specific as giving the registered user a list of the cheapest retailers that carry the type of milk the registered user typically buys, where the cheapest milk is located, turn-by-turn directions loaded to the navigation device located in the registered user\'s vehicle, and even the aisle and shelf where the milk is located. It is possible this process could be automated so that upon acceptance, the event-based intelligent-targeting engine 12 could ask the registered user if the registered user would like to purchase the milk on the registered user\'s to-do list, and if so, the event-based intelligent-targeting engine 12 can notify the grocery store, who will then gather the specific items being purchased, charge the registered user\'s account or credit card, and have the items available for pick-up.



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stats Patent Info
Application #
US 20110238647 A1
Publish Date
09/29/2011
Document #
13070459
File Date
03/23/2011
USPTO Class
707706
Other USPTO Classes
707E17014
International Class
06F17/30
Drawings
4


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