Recommendation system using social behavior analysis and vocabulary taxonomies

1. A method comprising:

processing, by one or more processors, a communication received from an input/output port relating to one or more types of word-based social behavior for multiple users of a computing network;

deriving, by the one or more processors, a vocabulary-based taxonomy based on the word-based social behavior, the vocabulary-based taxonomy indicating one or more meanings for one or more words;

analyzing, by the one or more processors, the obtained word-based social behavior based at least in part on the vocabulary-based taxonomy to determine at least two implied topic-specific social networks including a set of users of the multiple users, wherein at least one word has a first meaning within a first implied topic-specific social network and a second meaning different from the first meaning, within a second topic-specific social network;

determining, by the one or more processors, an item or person of potential interest to recommend to a user of the set of users in at least one of the two implied topic-specific social networks, based at least on the word-based social behavior for the set of users in the at least one of the at least two implied topic-specific social networks; and

facilitating presentation, by the one or more processors, of a recommendation of at least one item or person of potential interest to the user by transmitting a communication to display a graphical user interface.

2. The method of claim 1 , wherein the obtaining comprises obtaining tagging or bookmarking behavior.

3. The method of claim 2 , wherein the obtaining comprises obtaining word-based tagging.

4. The method of claim 1 , wherein the obtaining comprises obtaining a communication associated with a user initiated search.

5. The method of claim 1 , wherein the analyzing comprises integrating at least one implied topic-specific social network with at least one explicit social network.

6. The method of claim 1 , wherein the determining an item or person of potential interest comprises determining an item or person that is popular in the at least one implied topic-specific social network.

7. The method of claim 1 , wherein the facilitating presentation comprises displaying the graphical user interface.

8. A method comprising:

processing, by one or more processors, a communication received from an input/output port relating to one or more types of computer-based social behavior for multiple users of a computing network;

deriving, by the one or more processors, a semantically-sensitive vocabulary taxonomy based on the word-based social behavior, the semantically sensitive vocabulary taxonomy indicating one or more meanings for one or more words;

determining, by the one or more processors, two or more implied topic-specific social networks based at least in part on the obtained social behavior and utilizing the semantically-sensitive vocabulary taxonomy, wherein at least one word has a first meaning within a first implied topic-specific social network and a second meaning, different from the first meaning, within a second implied topic-specific social network;

facilitating presentation, by the one or more processors, of a recommendation of at least one item or person of potential interest by transmitting a communication to display a graphical user interface to the user including a recommendation of an item or person of potential interest to a user in at least one of the two or more topic-specific social networks, wherein the recommended item is determined based at least in part on social behavior associated with users in the at least one of the two or more topic-specific social networks;

facilitating presentation, within the graphical user interface by the one or more processors, of an indication of the rationale utilized in determining that the at least one item or person may be of interest to the user; and

facilitating presentation, within the graphical user interface by the one or more processors, of an opportunity for the user to provide feedback relating to the recommendation or the rationale.

9. The method of claim 8 , wherein the obtaining comprises obtaining a communication received from the input/output port relating to user tagging patterns.

10. The method of claim 8 , wherein the facilitating presentation of an indication of the rationale comprises transmitting a communication to present elements of the vocabulary taxonomy.

11. The method of claim 8 , wherein the facilitating presentation of an indication of the rationale comprises transmitting a communication to present an indication of tagging behavior of at least one user in the one or more implied social networks of the user.

12. The method of claim 8 , wherein the facilitating presentation of an indication of the rationale comprises transmitting a communication to present an indication of a strategy used in determining that the item or person is of potential interest to the user.

13. The method of claim 8 , wherein the presenting an opportunity for the user to provide feedback comprises transmitting a communication to present an opportunity for the user to indicate whether the recommendation was useful.

14. The method of claim 8 , comprising utilizing, by the one or more processors, provided feedback to improve future recommendations to a user in the one or more topic-specific implied social networks.

15. The method of claim 8 , comprising utilizing, by the one or more processors, provided feedback received via a communication from the input/output port to improve the vocabulary taxonomy.

16. The method of claim 8 , wherein the determining one or more implied topic-specific social networks comprises utilizing analysis relating to a tag space.

17. A system for determining items or people of potential interest to recommend to users in a computer-based network, the system comprising:

one or more server computers;

wherein the one or more server computers comprise one or more processors capable of:

processing a communication to be received from an input/output port to be related to one or more types of computer-based social behavior for multiple users of a computing network;

deriving a semantically-sensitive vocabulary taxonomy to be based on the word-based social behavior, the semantically-sensitive vocabulary taxonomy to indicate one or more meanings for one or more words;

determining two or more implied topic-specific social networks based at least in part on the obtained social behavior and utilizing the semantically-sensitive vocabulary-based taxonomy, at least one word to have a first meaning within a first implied topic-specific social network and a second meaning, different from the first meaning, within a second implied topic-specific social network; and

facilitating presentation by transmitting a communication to display a graphical user interface to the user including a recommendation of an item or person of potential interest to a user in at least one of the two or more implied topic-specific social networks, wherein the recommended item is to be determined based on social behavior associated with users in the at least one of the two or more implied topic-specific social networks;

facilitating presentation, within the graphical user interface, of an indication of a rationale to be utilized to determined that the item or person may be of interest to the user; and

facilitating presentation, within the graphical user interface, of an opportunity for the user to provide feedback to be related to the recommendation.

18. The system of claim 17 , comprising a database for storing one or more types of word-based social behavior for multiple users.

19. The system of claim 17 , wherein the facilitating presentation of an indication of the rationale comprises transmitting a communication to present a hierarchy of terms in a vocabulary taxonomy to be associated with at least one of the one or more implied topic-specific vocabulary taxonomies.

20. An apparatus comprising:

a computer-readable medium comprising instructions stored thereon which are executable by a computing system comprising one or more processors to:

process a communication to be received from an input/output port to be related to one or more types of computer-based social behavior for multiple users of a computing network;

derive a semantically-sensitive vocabulary taxonomy to be based on the word-based social behavior, the semantically-sensitive vocabulary taxonomy to indicate one or more meanings for one or more words

determine two or more implied topic-specific social networks to be based at least in part on the obtained social behavior and to utilize the semantically-sensitive vocabulary-based taxonomy, at least one word to have a first meaning within a first implied topic-specific social network and a second meaning, different from the first meaning, within a second implied topic-specific social network;

facilitate presentation by transmitting a communication to display a recommendation of at least one item of potential interest via a graphical user interface to a user in at least one of the two or more implied topic-specific social networks, the recommended item to be determined based on social behavior associated with users in the at least one of the two or more implied topic-specific social networks;

facilitate presentation, within the graphical user interface, of an indication of the rationale to be utilized to determine that the at least one item may be of interest to the user; and

facilitate presentation, within the graphical user interface, of an opportunity for the user to provide feedback to be related to the recommendation.