System and method for addressing communications

• US 8,589,486 B2
• Filed: 03/28/2008
• Issued: 11/19/2013
• Est. Priority Date: 03/28/2008
• Status: Expired due to Fees

• Current Assignee: R2 Solutions LLC (Acacia Research Corporation)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Martinez, Ronald, Davis, Marc Eliot, Higgins, Christopher William, O'Sullivan, Joseph James
• Primary Examiner(s): Avellino, Joseph
• Assistant Examiner(s): BARON, JAMES T
• Application Number:
  US12/057,878
• Publication Number:
  US 20090248694A1
• Time in Patent Office: 2,062 Days
• Field of Search: 709/204
• US Class Current: 709/204
• CPC Class Codes: G06F 16/243 Natural language query formulation
• CPC Class Codes: G06F 16/2433 Query languages
• CPC Class Codes: G06F 16/83 Querying
• CPC Class Codes: H04L 51/214 using selective forwarding
• CPC Class Codes: H04W 4/022 with dynamic range variability

Abstract

The disclosure describes systems and methods for utilizing data collected and stored on multiple devices in order to improve the performance of the network via a markup language for addressing and delivering communications. The markup language invokes W4COMN operations through a free-form, natural language syntax which enables completely personalized user-defined designations for real-world entities (RWEs) or information objections (IOs) utilizing names or functional tags. Desired network operations including addressing network resources, entities or users are activated when the markup language is augmented via processing with W4 contextual data into an actual W4COMN circuit, process or event.

Claims

1. A method comprising:

defining, via a computing device, a user-defined markup language, the user-defined markup language comprising a plurality of user-defined conditional operators, each user-defined conditional operator of the plurality of user-defined conditional operators defining a respective relationship type and being associated with a respective syntax, such that the user-defined markup language is defined in response to receiving data relating to the plurality of user-defined conditional operators from a user;

receiving, at the computing device, a request from a sender real-world entity (RWE) to deliver a first information object (IO) to a recipient RWE identified by an address string;

parsing, via the computing device, the address string to identify at least a first address string descriptor, a second address string descriptor and an address string conditional operator, such that the address string conditional operator matches one user-defined conditional operator of the plurality of user-defined conditional operators, and the respective syntax associated with the one user-defined conditional operator of the plurality of user-defined conditional operators is used in parsing the address string;

determining, via the computing device, that the one user-defined conditional operator of the plurality of user-defined conditional operators defines a first relationship between the first address string descriptor and the second address string descriptor;

identifying, via the computing device, a first subset of one or more RWEs matching the first address string descriptor;

identifying, via the computing device, a second subset of one or more RWEs matching the second address string descriptor;

identifying, via the computing device, spatial, temporal, social and topical relationships between the each of the RWEs in the first subset and the second subset using a combined graph of data available, via a network, for RWEs and IOs known to the network;

selecting, via the computing device, one RWE of the first subset of RWEs to be the recipient RWE based on a comparison of the spatial, temporal, social and topical relationships and the first relationship; and

transmitting, from the computing device over a network, the first IO to the selected recipient RWE using a unique identifier associated with the recipient RWE.

2. The method of claim 1 further comprising:

determining, via the computing device, that the one conditional operator of the plurality of user-defined conditional operators identifies a delivery condition defined by the second descriptor;

retrieving the unique identifier associated with the first descriptor; and

transmitting the first IO to recipient RWE when the delivery condition is satisfied.

3. The method of claim 1 further comprising:

generating, via the computing device, based on the spatial, temporal, social and topical relationships and the first relationship, a respective probability score for each combination of RWEs from the first subset and the second subset;

selecting, via the computing device, one of the combinations of RWEs based on the respective probability score for the one of the combinations of RWEs; and

selecting the recipient RWE based on the one of the combinations of RWEs.

4. The method of claim 1 further comprising:

retrieving, via the computing device, the unique identifier for the recipient RWE from a set of unique identifiers associated with the recipient RWE, such that each unique identifier in the set of unique identifiers is associated with a respective one of a plurality of communication channels and the method further comprises;

selecting, via the computing device, based on the request, a selected one of the plurality of communication channels for transmitting the first IO to the recipient RWE; and

selecting, via the computing device, the unique identifier for the recipient RWE associated with the selected one of the plurality of communication channels.

9. The method of claim 1 such that the combined graph is a histogram of RWEs and IOs known to the network.

10. The method of claim 9 such that the histogram comprises a plurality of categories, wherein each RWE and IO are in a respective one category of a plurality of categories, and a count is assigned to each category of the plurality of categories, each count comprising a number of observations in the data available for RWEs and IOs that fall into the respective one category of the plurality of categories.

11. The method of claim 3 such that the respective probability score is determined by ascribing a weight to each respective relationship based on a predetermination of their relative importance by relationship type and strength.

12. The method of claim 1 such that the combined graph is a feature vector of RWEs known to the network.

13. The method of claim 12 such that feature vector comprises raw sensed data and higher order features relating to RWEs known to the network.

14. The method of claim 12 such that higher order features comprise contextual and periodic patterns of states and actions of RWEs known to the network.

15. The method of claim 13 such that relationships within the feature vector are identified using a learning algorithm.

16. The method of claim 15 such that the learning algorithm is selected from the list:

Sparse Factor Analysis, Hidden Markov Model, Support Vector Machine, Bayesian Methods.

5. A system comprising:

a processor connected via at least one communication channel to a plurality of computing devices transmitting information objects (IOs) over the at least one communication channel;

a storage medium for tangibly storing thereon program logic for execution by the processor, the program logic comprising;

markup language definition logic executed by the processor for defining a user-defined markup language the user-defined markup language comprising a plurality of user-defined conditional operators, each user-defined conditional operator of the plurality of user-defined conditional operators defining a respective relationship type and being associated with a respective syntax, such that the user-defined markup language is defined in response to receiving data relating to the plurality of user-defined conditional operators from a user;

request receiving logic executed by the processor for receiving, at the computing device, a request from a sender real-world entity (RWE) to deliver a first IO to a recipient RWE identified by an address string;

parsing logic executed by the processor for parsing the address string to identify at least a first address string descriptor, a second address string descriptor and an address string conditional operator, such that the address string conditional operator matches one user-defined conditional operator of the plurality of user-defined conditional operators, and the respective syntax associated with the one user-defined conditional operator of the plurality of user-defined conditional operators is used in parsing the address string;

conditional operator logic executed by the processor for determining that the one user-defined conditional operator of the plurality of user-defined conditional operators defines a first relationship between the first descriptor and the second descriptor;

RWE identification logic executed by the processor for identifying a first subset of one or more RWEs matching the first descriptor and identifying a second subset of one or more RWEs matching the second descriptor;

correlation logic executed by the processor for identifying spatial, temporal, social and topical relationships between the each of the RWEs in the first subset and the second subset using a combined graph of data available, via a network, for RWEs and IOs known to the network;

RWE selection logic executed by the processor for selecting one RWE of the first subset of RWEs to be the recipient RWE based on a comparison of the spatial, temporal, social and topical relationships and the first relationship; and

IO transmission logic executed by the processor for transmitting, from the computing device over a network, the first IO to the selected recipient RWE using a unique identifier associated with the recipient RWE.

6. The system of claim 5 further comprising:

delivery logic executed by the processor for retrieving a unique communication channel address for the recipient RWE and transmitting a first IO to the unique communication channel address, the unique communication channel address being different from the address string.

7. The system of claim 6, such that the RWE selection logic further generates, based on the data spatial, temporal, social and topical relationships and the first relationship, a different respective probability score for each combination of RWEs from the first subset and the second subset, selects one of the combinations of RWEs based on the respective probability score for the one of the combinations of RWEs and selects the recipient RWE based on the selected one of the combinations of RWEs.

8. The system of claim 7 further comprising:

attribution logic executed by the processor for that identifing the sender RWE of the first IO from the data of the first IO, the owner being one of the plurality of RWEs; and

such that the RWE selection logic further generates the probability for each of the plurality of RWEs based on relationships between the sender RWE and the each RWE of the first subset and the second subset.

17. A non-transitory computer readable storage media for tangibly storing thereon computer readable instructions for a method comprising:

defining a user-defined markup language, the user-defined markup language comprising a plurality of user-defined conditional operators, each user-defined conditional operator of the plurality of user-defined conditional operators defining a respective relationship type and being associated with a respective syntax, such that the user-defined markup language is defined in response to receiving data relating to the plurality of user-defined conditional operators from a user;

receiving a request from a sender real-world entity (RWE) to deliver a first information object (IO) to a recipient RWE identified by an address string;

parsing the address string to identify at least a first address string descriptor, a second address string descriptor and an address string conditional operator, such that the address string conditional operator matches one user-defined conditional operator of the plurality of user-defined conditional operators, and the respective syntax associated with the one user-defined conditional operator of the plurality of user-defined conditional operators is used in parsing the address string;

determining that the one user-defined conditional operator of the plurality of user-defined conditional operators defines a first relationship between the first address string descriptor and the second address string descriptor;

identifying a first subset of one or more RWEs matching the first address string descriptor;

identifying a second subset of one or more RWEs matching the second address string descriptor;

identifying spatial, temporal, social and topical relationships between the each of the RWEs in the first subset and the second subset using a combined graph of data available, via a network, for RWEs and IOs known to the network;

selecting one RWE of the first subset of RWEs to be the recipient RWE based on a comparison of the spatial, temporal, social and topical relationships and the first relationship; and

transmitting the first IO to the selected recipient RWE using a unique identifier associated with the recipient RWE.