An adaptive probabilistic semantic computer-implemented system and method links semantic chains comprising subject, predicate, and object triples and an associated probability with behavioral-based chains comprising a system user, predicate, and object triples, and infers user preferences based on the linked chains. Recommendations are generated for delivery to system users based on the preference inferences. Explanations may be provided to recommendation recipients as to why they received recommendations, and the explanations may convey a sense of confidence in accordance with probabilistic semantic associations.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A computer-implemented method: accessing automatically a first behavioral chain comprising a representation of a first user of a computer-implemented system, a first predicate, and a first object of the first predicate; accessing automatically a first semantic chain comprising a first subject, a second predicate, a second object of the predicate, and a first semantic chain weighting associated with the first semantic chain, wherein the first subject corresponds to the first object of the first predicate; linking automatically the first semantic chain and the first behavioral chain; inferring automatically a preference of the first user of the computer-implemented system based, at least in part, on the linked first semantic chain and first behavioral chain and the first semantic chain weighting; and selecting automatically a recommendation for delivery to the first user of the computer-implemented system, wherein the recommendation is selected based, at least in part, on the inferred preference. 2. The method of claim 1, further comprising: accessing automatically the first behavioral chain comprising the first predicate, wherein the first predicate is automatically inferred from one or more usage behaviors. 3. The method of claim 1, further comprising: accessing automatically the first behavioral chain comprising the first object of the first predicate, wherein the first object of the first predicate comprises a representation of a second user of the computer-implemented system. 4. The method of claim 1, further comprising: accessing automatically the first semantic chain weighting that is associated with the first semantic chain, wherein the first semantic chain weighting is automatically generated by a processor-based device from a statistical analysis of computer-implemented content. 5. The method of claim 1, further comprising: accessing automatically the first semantic chain weighting that is associated with the first semantic chain, wherein the first semantic chain weighting is automatically generated by a processor-based device from an inference based, at least in part, on a plurality of usage behaviors. 6. The method of claim 1, further comprising: inferring automatically the preference of the first user of the computer-implemented system, wherein the inferring of the preference is further based on a first behavioral chain weighting associated with the first behavioral chain. 7. The method of claim 6, further comprising: inferring automatically the preference of the first user of the computer-implemented system, wherein the inferring of the preference is further based on the first behavioral chain weighting associated with the first behavioral chain, wherein the first behavioral chain weighting is automatically generated by a processor-based device from an inference based, at least in part, on a plurality of usage behaviors. 8. A computer-implemented system comprising one or more processor-based devices configured to: access a first behavioral chain comprising a representation of a first user of a computer-implemented system, a first predicate, and a first object of the first predicate; access a first semantic chain comprising a first subject, a second predicate, a second object of the predicate, and a first semantic chain weighting associated with the first semantic chain, wherein the first subject corresponds to the first object of the first predicate; link the first semantic chain and the first behavioral chain; infer a preference of the first user of the computer-implemented system based, at least in part, on the linked first semantic chain and first behavioral chain and the first semantic chain weighting; and select a recommendation for delivery to the first user of the computer-implemented system, wherein the recommendation is selected based, at least in part, on the inferred preference. 9. The system of claim 8, further comprising the one or more processor-based devices configured to: access the first behavioral chain comprising the first predicate, wherein the first predicate comprises a usage behavior of the first user with respect to the first object. 10. The system of claim 8, further comprising the one or more processor-based devices configured to: access the first behavioral chain comprising the first predicate, wherein the first predicate is automatically inferred from a plurality of usage behaviors. 11. The system of claim 8, further comprising the one or more processor-based devices configured to: access the first behavioral chain comprising the representation of the first object of the first predicate, wherein the first of object of the first predicate comprises a representation of a second user of the computer-implemented system. 12. The system of claim 8, further comprising the one or more processor-based devices configured to: access the first semantic chain weighting associated with the first semantic chain, wherein the first semantic chain weighting associated with the first semantic chain comprises a probability that the first semantic chain represents objective reality. 13. The system of claim 8, further comprising the one or more processor-based devices configured to: access the first semantic chain weighting associated with the first semantic chain, wherein the first semantic chain weighting associated with the first semantic chain comprises a probability that the first semantic chain is valid for interpreting specified content. 14. The system of claim 8, further comprising the one or more processor-based devices configured to: infer the preference of the first user of the computer-implemented system, wherein the inference of the preference is further based on a first behavioral chain weighting associated with the first behavioral chain. 15. The system of claim 8, further comprising the one or more processor-based devices configured to: infer the preference of the first user of the computer-implemented system, wherein the inference of the preference is further based on automatically linking the first semantic chain with a second semantic chain. 16. A computer-implemented system comprising one or more processor-based devices configured to: access a first behavioral chain comprising a representation of a first user of a computer-implemented system, a first predicate, and a representation of a first object of the first predicate; access a first semantic chain comprising a first subject, a second predicate, a second object of the predicate, and a first semantic chain weighting associated with the first semantic chain, wherein the first subject corresponds to the first object of the first predicate; link the first semantic chain and the first behavioral chain; infer a preference of the first user of the computer-implemented system based, at least in part, on the linked first semantic chain and first behavioral chain and the first semantic chain weighting; generate a recommendation for delivery to the first user of the computer-implemented system, wherein the recommendation is generated based, at least in part, on the inferred preference; and generate an explanation for delivery to the first user as to why the recommendation was delivered to the first user, wherein the explanation is based, at least in part, on the linked first semantic chain and first behavioral chain. 17. The system of claim 16, further comprising the one or more processor-based devices configured to: access the first semantic chain comprising the first predicate, wherein the first predicate comprises an inference of a preference of the first user with respect to the first object that is derived from one or more usage behaviors. 18. The system of claim 16, further comprising the one or more processor-based devices configured to: generate the explanation, wherein the explanation is in a natural language format, and is in accordance with a mapping of natural language to the linked first semantic chain and the first behavioral chain. 19. The system of claim 16, further comprising the one or more processor-based devices configured to: generate the explanation, wherein the explanation is further based on a linked second semantic chain and a second behavioral chain. 20. The system of claim 16, further comprising the one or more processor-based devices configured to: generate the explanation, wherein the explanation comprises one or more phrases that convey a sense of confidence with respect to the recommendation, wherein the sense of confidence is derived, at least in part, from the first semantic chain weighting.